Alternatives to IBM Storage Scale

QuantaStor, a unified Software Defined Storage platform, is designed to scale up and down to simplify storage management and reduce overall storage costs. QuantaStor storage grids can be configured to support complex workflows that span datacenters and sites. QuantaStor's storage technology includes a built-in Federated Management System that allows QuantaStor servers and clients to be combined to make management and automation easier via CLI and RESTAPIs. QuantaStor's layered architecture gives solution engineers unprecedented flexibility and allows them to design applications that maximize workload performance and fault tolerance for a wide variety of storage workloads. QuantaStor provides end-to-end security coverage that allows multi-layer data protection for cloud and enterprise storage deployments.

Accelerate your data journey with AnalyticsCreator—a metadata-driven data warehouse automation solution purpose-built for the Microsoft data ecosystem. AnalyticsCreator simplifies the design, development, and deployment of modern data architectures, including dimensional models, data marts, data vaults, or blended modeling approaches tailored to your business needs. Seamlessly integrate with Microsoft SQL Server, Azure Synapse Analytics, Microsoft Fabric (including OneLake and SQL Endpoint Lakehouse environments), and Power BI. AnalyticsCreator automates ELT pipeline creation, data modeling, historization, and semantic layer generation—helping reduce tool sprawl and minimizing manual SQL coding. Designed to support CI/CD pipelines, AnalyticsCreator connects easily with Azure DevOps and GitHub for version-controlled deployments across development, test, and production environments. This ensures faster, error-free releases while maintaining governance and control across your entire data engineering workflow. Key features include automated documentation, end-to-end data lineage tracking, and adaptive schema evolution—enabling teams to manage change, reduce risk, and maintain auditability at scale. AnalyticsCreator empowers agile data engineering by enabling rapid prototyping and production-grade deployments for Microsoft-centric data initiatives. By eliminating repetitive manual tasks and deployment risks, AnalyticsCreator allows your team to focus on delivering actionable business insights—accelerating time-to-value for your data products and analytics initiatives.

Red Hat® Ceph Storage is a flexible and highly scalable storage solution designed for contemporary data workflows. Specifically developed to support data analytics, artificial intelligence/machine learning (AI/ML), and other emerging applications, it offers software-defined storage compatible with a variety of standard hardware options. You can scale your storage to extraordinary levels, accommodating up to 1 billion objects or more without sacrificing performance quality. The system allows you to adjust storage clusters up or down seamlessly, ensuring there is no downtime during the process. This level of adaptability provides the agility necessary to accelerate your time to market. Installation is notably simplified, enabling quicker setup and deployment. Additionally, the platform facilitates rapid insights from vast quantities of unstructured data through enhanced operation, monitoring, and capacity management tools. To protect your data from external threats and hardware malfunctions, it comes equipped with comprehensive data protection and security features, including encryption at both the client-side and object levels. Managing backup and recovery processes is straightforward, thanks to a centralized point of control and administration, allowing for efficient data management and enhanced operational efficiency. This makes Red Hat Ceph Storage an ideal choice for organizations looking to leverage scalable and reliable storage solutions.

Snowflake offers a unified AI Data Cloud platform that transforms how businesses store, analyze, and leverage data by eliminating silos and simplifying architectures. It features interoperable storage that enables seamless access to diverse datasets at massive scale, along with an elastic compute engine that delivers leading performance for a wide range of workloads. Snowflake Cortex AI integrates secure access to cutting-edge large language models and AI services, empowering enterprises to accelerate AI-driven insights. The platform’s cloud services automate and streamline resource management, reducing complexity and cost. Snowflake also offers Snowgrid, which securely connects data and applications across multiple regions and cloud providers for a consistent experience. Their Horizon Catalog provides built-in governance to manage security, privacy, compliance, and access control. Snowflake Marketplace connects users to critical business data and apps to foster collaboration within the AI Data Cloud network. Serving over 11,000 customers worldwide, Snowflake supports industries from healthcare and finance to retail and telecom.

DDN and Tintri's IntelliFlash systems merge high-performance capabilities with cost-effectiveness to create a fully functional intelligent storage infrastructure that independently fine-tunes SSD-to-HDD ratios while offering scalable performance. The management features are designed to save time and provide superb support for enterprise applications, allowing for the consolidation of diverse workloads with simultaneous multiprotocol support for block, file, object storage, and virtual machines, all on a unified platform. Additionally, these systems improve cost-efficiency through advanced data reduction technologies, quick backup solutions, robust disaster recovery options, and powerful analytics software that accelerates data insights. Furthermore, DDN's A³I solution effectively tackles the challenges of unstructured data management, addressing the demands of data-heavy applications. This architecture not only supports unstructured data but also enhances the performance and scalability for structured data types, including call and transaction records as well as consumer behavior analytics, ensuring that organizations can efficiently manage a broad spectrum of data. As a result, businesses can achieve enhanced operational efficiency while maintaining flexibility in their storage solutions.

The IBM Elastic Storage System (ESS) represents an advanced approach to software-defined storage, streamlining the deployment of fast and scalable storage solutions tailored for AI and big data applications. Utilizing cutting-edge NVMe storage technology that boasts low latency and impressive performance, alongside the expansive 8YB global file system and comprehensive data services offered by IBM Spectrum Scale, both the ESS 3200 and ESS 5000 nodes are capable of expanding to YB configurations within a unified global storage system that spans from edge to core data centers and extends to the public cloud. By integrating storage needs and removing silos across various platforms, such as Kubernetes and Red Hat OpenShift, IBM ESS not only enhances efficiency but also lowers acquisition costs and simplifies the management of storage resources. This system is designed to support a variety of demanding workloads, ensuring that your organization maintains high performance across all operations. Furthermore, the flexibility and scalability of the IBM ESS make it an ideal choice for businesses looking to adapt to evolving data storage requirements.

OpenIO represents a software-defined, open-source object storage solution tailored for Big Data, high-performance computing (HPC), and artificial intelligence (AI) applications. Its innovative distributed grid architecture, powered by the proprietary self-learning ConsciousGrid™ technology, allows for effortless scaling without the need for mandatory data rebalancing while maintaining consistently high performance. This solution is compatible with S3 and can be installed either on-premises or in the cloud, accommodating any hardware configuration you prefer. Effortlessly scale your storage needs from Terabytes to Exabytes by simply adding nodes, which enhances capacity and boosts performance in a linear manner. Capable of transferring data at speeds reaching 1 Tbps and beyond, OpenIO ensures reliable high performance even during scaling operations. It is particularly suited for demanding workloads that require substantial capacity. You have the flexibility to select servers and storage media that align with your changing requirements, effectively avoiding vendor lock-in. Additionally, you can seamlessly integrate heterogeneous hardware of varying specifications, generations, and capacities at any time, ensuring that your system can adapt as your needs evolve. This adaptability makes OpenIO a compelling choice for organizations seeking a versatile storage solution.

GlusterFS is an adaptable network filesystem designed for high-demand applications, including cloud storage solutions and media streaming. This software is both free and open source, making it compatible with readily available hardware. It functions as a scalable, distributed file system that merges storage resources from various servers into a unified global namespace. Organizations have the flexibility to expand their capacity, performance, and availability as needed without being tied to a specific vendor, whether they operate on-premises, in the public cloud, or in hybrid settings. Many organizations across diverse sectors such as media, healthcare, government, education, web 2.0, and financial services have adopted GlusterFS for their production environments. The system is capable of scaling to several petabytes and efficiently managing thousands of clients while ensuring POSIX compatibility. It operates on standard commodity hardware and supports any on-disk filesystem that allows extended attributes. Furthermore, GlusterFS can be accessed via widely-used protocols like NFS and SMB, and it offers essential features including replication, quotas, geo-replication, snapshots, bitrot detection, and much more, ensuring data integrity and availability. Its versatility and robust capabilities make it a preferred choice for organizations looking to optimize their data storage solutions.

Nutanix AOS Storage represents an innovative approach to storage solutions, moving away from conventional SAN and NAS systems towards a highly automated, scalable, and high-performance infrastructure. Its distributed architecture provides enterprise-level capabilities, ensuring both high availability and resilience for critical applications. Among its standout features is data locality, which keeps data in close proximity to the application, thereby minimizing latency; intelligent tiering that efficiently manages data across SSD and HDD for optimal performance; and robust data protection features such as granular snapshots and self-healing functionalities. Furthermore, AOS Storage allows for linear scalability, enabling organizations to begin with a small setup and expand effortlessly as their requirements grow. With the added advantage of flexible hypervisor options and support for a variety of data services, it proves to be an adaptable solution that meets the diverse needs of different applications and workloads. This versatility makes Nutanix AOS Storage a compelling choice for businesses looking to modernize their storage infrastructure.

Red Hat® OpenShift® Data Foundation, formerly known as Red Hat OpenShift Container Storage, is a software-defined storage solution tailored for containers. Designed as the foundational data and storage services platform for Red Hat OpenShift, it enables teams to swiftly and effectively develop and deploy applications across various cloud environments. Even developers with minimal storage knowledge can easily provision storage directly through Red Hat OpenShift without needing to navigate away from their primary interface. Capable of formatting data in files, blocks, or objects, it caters to a diverse range of workloads generated by enterprise Kubernetes users. Additionally, our specialized technical team is available to collaborate with you to devise a strategy that aligns with your storage requirements for both hybrid and multicloud container deployments, ensuring that your infrastructure is optimized for performance and scalability.

StoneFly delivers robust, flexible, and reliable IT infrastructure solutions that ensure seamless availability. Paired with our innovative and patented StoneFusion operating system, we are equipped to handle your data-centric applications and processes anytime and anywhere. You can easily set up backup, replication, disaster recovery, and scale out storage options for block, file, and object formats in both private and public cloud environments. In addition, we provide comprehensive support for virtual and container hosting, among other services. StoneFly also specializes in cloud data migration for various data types, including emails, archives, documents, SharePoint, and both physical and virtual storage solutions. Our all-in-one backup and disaster recovery systems can operate as either a standalone appliance or a cloud-based solution. Furthermore, our hyperconverged options enable the restoration of physical machines as virtual machines directly on the StoneFly disaster recovery appliance, facilitating rapid recovery in critical situations. With an emphasis on efficiency and reliability, StoneFly is committed to meeting the evolving demands of modern IT infrastructure.

The Vexata VX‑100F harnesses the power of NVMe over fabrics (NVMe-oF) to achieve exceptional economic efficiency and transformative performance. By eliminating unnecessary latency associated with the storage controller, the Vexata architecture ensures consistently high performance at scale, significantly enhancing application response times. This performance is particularly crucial for real-time analytics, which demands substantial data ingestion and processing capabilities; the Vexata Accelerated Data Architecture meets these needs by providing increased throughput and quicker response times. Furthermore, Vexata breaks through the conventional cost/performance limitations with a scalable solid-state storage solution designed to boost both application and analytics ecosystems. Additionally, VX-Cloud stands out as the first and only software-defined platform that caters to every stage of Machine Learning, ensuring optimal performance and scalability for cognitive and AI workloads, all while maintaining cloud-scale economics. With these innovations, Vexata is setting a new standard in the data storage landscape.

Break down data silos through a unified storage solution that effectively optimizes expenses by employing tiered storage and comprehensive policy management. Enhance data authentication with Azure Active Directory (Azure AD) alongside role-based access control (RBAC), while bolstering data protection with features such as encryption at rest and advanced threat protection. This approach ensures a highly secure environment with adaptable mechanisms for safeguarding access, encryption, and network-level governance. Utilizing a singular storage platform, you can seamlessly ingest, process, and visualize data while supporting prevalent analytics frameworks. Cost efficiency is further achieved through the independent scaling of storage and compute resources, lifecycle policy management, and object-level tiering. With Azure's extensive global infrastructure, you can effortlessly meet diverse capacity demands and manage data efficiently. Additionally, conduct large-scale analytical queries with consistently high performance, ensuring that your data management meets both current and future needs.

Integrate block, file, and object data locally using a comprehensive enterprise storage solution that offers a cloud-like experience. IBM Storage Ceph serves as a unified enterprise storage platform, allowing organizations to break down data silos while providing a cloud-native feel, all while aiding in cost reduction and quicker provisioning. As IT leaders transition from conventional storage methods to more cohesive enterprise storage systems, they find that these solutions adeptly manage various modern workloads across on-premises and hybrid settings, thereby streamlining IT operations and accommodating evolving needs. IBM Storage Ceph stands out as the sole enterprise storage platform capable of consolidating block, file, and object data protocols into one software-defined system, effectively supporting a wide range of enterprise operational workloads and minimizing the long-term expenses associated with maintaining separate storage infrastructures while ensuring a seamless cloud-like experience on-site. This capability not only enhances efficiency but also positions organizations to better respond to future data management challenges.

PowerFlex, previously known as VxFlex, delivers software-defined storage solutions that foster dynamic adaptability for businesses aiming to enhance their datacenter functions. This innovative system offers remarkable flexibility, extensive scalability, and robust performance while streamlining infrastructure management and operational processes. With PowerFlex, organizations can accelerate their response to swiftly evolving market conditions. The platform grants unparalleled freedom to deploy and expand the essential workloads that propel your business forward, all while maintaining outstanding simplicity and ease of management. Experience significant performance enhancements, scalability, and durability through a software-first design. Seamlessly adjust to fluctuating business demands with an agile and flexible infrastructure. Furthermore, achieve top-tier results with comprehensive automation and enhanced workload management capabilities, ensuring your organization stays ahead in a competitive landscape.

StorPool provides a fully managed primary storage platform that businesses can use to host mission-critical workloads from their own datacenters. We make it easy to convert standard servers with NVMe SSDs to high-performance, linearly scaling primary storage systems. StorPool is a superior alternative for high-end SANs or All-Flash Arrays (AFA) and mid-range SANs for companies building private or public clouds. StorPool is more reliable, agile, faster, and more cost-effective than other primary storage products. It is a great replacement for legacy storage architectures such as mid- or high-end primary arrays. Your cloud computing offering will deliver exceptional performance, reliability, and a higher ROI.

Do you struggle with providing access to large data sets that are rapidly growing or enabling distributed content-based uses? Tape is cost-effective, but data is not always available and tape can be difficult to manage. Public cloud can present the challenge of unpredictable, compounding recurring costs and inability to meet privacy and performance requirements. DataCore Swarm is an on-premises object storage system that simplifies the process of managing, storing, and protecting data. It also allows S3/HTTP access for any application, device, and end-user. Swarm transforms your data archive to a flexible, immediately accessible content library that allows remote workflows, on demand access, and massive scaling.

SwiftStack is a versatile data storage and management solution designed for applications and workflows that rely heavily on data, enabling effortless access to information across both private and public infrastructures. Its on-premises offering, SwiftStack Storage, is a scalable and geographically dispersed object and file storage solution that can begin with tens of terabytes and scale to hundreds of petabytes. By integrating your current enterprise data into the SwiftStack platform, you can enhance accessibility for your contemporary cloud-native applications without the need for another extensive storage migration, utilizing your existing tier 1 storage effectively. SwiftStack 1space further optimizes data management by distributing information across various clouds, both public and private, based on operator-defined policies, thereby bringing applications and users closer to their needed data. This system creates a unified addressable namespace, ensuring that data movement within the platform remains seamless and transparent to both applications and users alike, enhancing the overall efficiency of data access and management. Moreover, this approach simplifies the complexities associated with data handling in multi-cloud environments, allowing organizations to focus on their core operations.

A data lake serves as a comprehensive repository designed for handling extensive data and artificial intelligence operations, accommodating both structured and unstructured data at any volume. It is essential for organizations looking to harness the power of Data Lake Formation (DLF), which simplifies the creation of a cloud-native data lake environment. DLF integrates effortlessly with various computing frameworks while enabling centralized management of metadata and robust enterprise-level permission controls. It systematically gathers structured, semi-structured, and unstructured data, ensuring substantial storage capabilities, and employs a design that decouples computing resources from storage solutions. This architecture allows for on-demand resource planning at minimal costs, significantly enhancing data processing efficiency to adapt to swiftly evolving business needs. Furthermore, DLF is capable of automatically discovering and consolidating metadata from multiple sources, effectively addressing issues related to data silos. Ultimately, this functionality streamlines data management, making it easier for organizations to leverage their data assets.

A combination of significant technological advancements and commercial trends is driving the need for an innovative approach to high-performance input/output operations. The emergence of various non-volatile memory (NVM) technologies is expanding alongside rapidly growing media capacities. Additionally, the adoption of diverse many-core processor architectures is resulting in increased I/O demands and more complex I/O requirements. Emerging high-value business sectors are leveraging analytics and machine learning, further pushing the limits of performance capabilities. Conventional file systems struggle to efficiently handle flash storage at scale, while the performance of hard disk drives diminishes with higher levels of concurrency. In this context, IME offers consistent job performance, enhances computation for data sets that exceed memory limits, accelerates I/O-heavy applications, and provides a reliable, cost-effective, and space-efficient solution for managing fluctuating data loads. This new paradigm is essential for meeting the challenges posed by modern data processing needs.

Qubole stands out as a straightforward, accessible, and secure Data Lake Platform tailored for machine learning, streaming, and ad-hoc analysis. Our comprehensive platform streamlines the execution of Data pipelines, Streaming Analytics, and Machine Learning tasks across any cloud environment, significantly minimizing both time and effort. No other solution matches the openness and versatility in handling data workloads that Qubole provides, all while achieving a reduction in cloud data lake expenses by more than 50 percent. By enabling quicker access to extensive petabytes of secure, reliable, and trustworthy datasets, we empower users to work with both structured and unstructured data for Analytics and Machine Learning purposes. Users can efficiently perform ETL processes, analytics, and AI/ML tasks in a seamless workflow, utilizing top-tier open-source engines along with a variety of formats, libraries, and programming languages tailored to their data's volume, diversity, service level agreements (SLAs), and organizational regulations. This adaptability ensures that Qubole remains a preferred choice for organizations aiming to optimize their data management strategies while leveraging the latest technological advancements.

The Archon Data Store™ is a robust and secure platform built on open-source principles, tailored for archiving and managing extensive data lakes. Its compliance capabilities and small footprint facilitate large-scale data search, processing, and analysis across structured, unstructured, and semi-structured data within an organization. By merging the essential characteristics of both data warehouses and data lakes, Archon Data Store creates a seamless and efficient platform. This integration effectively breaks down data silos, enhancing data engineering, analytics, data science, and machine learning workflows. With its focus on centralized metadata, optimized storage solutions, and distributed computing, the Archon Data Store ensures the preservation of data integrity. Additionally, its cohesive strategies for data management, security, and governance empower organizations to operate more effectively and foster innovation at a quicker pace. By offering a singular platform for both archiving and analyzing all organizational data, Archon Data Store not only delivers significant operational efficiencies but also positions your organization for future growth and agility.

Hydrolix serves as a streaming data lake that integrates decoupled storage, indexed search, and stream processing, enabling real-time query performance at a terabyte scale while significantly lowering costs. CFOs appreciate the remarkable 4x decrease in data retention expenses, while product teams are thrilled to have four times more data at their disposal. You can easily activate resources when needed and scale down to zero when they are not in use. Additionally, you can optimize resource usage and performance tailored to each workload, allowing for better cost management. Imagine the possibilities for your projects when budget constraints no longer force you to limit your data access. You can ingest, enhance, and transform log data from diverse sources such as Kafka, Kinesis, and HTTP, ensuring you retrieve only the necessary information regardless of the data volume. This approach not only minimizes latency and costs but also eliminates timeouts and ineffective queries. With storage being independent from ingestion and querying processes, each aspect can scale independently to achieve both performance and budget goals. Furthermore, Hydrolix's high-density compression (HDX) often condenses 1TB of data down to an impressive 55GB, maximizing storage efficiency. By leveraging such innovative capabilities, organizations can fully harness their data potential without financial constraints.

Delta Lake serves as an open-source storage layer that integrates ACID transactions into Apache Spark™ and big data operations. In typical data lakes, multiple pipelines operate simultaneously to read and write data, which often forces data engineers to engage in a complex and time-consuming effort to maintain data integrity because transactional capabilities are absent. By incorporating ACID transactions, Delta Lake enhances data lakes and ensures a high level of consistency with its serializability feature, the most robust isolation level available. For further insights, refer to Diving into Delta Lake: Unpacking the Transaction Log. In the realm of big data, even metadata can reach substantial sizes, and Delta Lake manages metadata with the same significance as the actual data, utilizing Spark's distributed processing strengths for efficient handling. Consequently, Delta Lake is capable of managing massive tables that can scale to petabytes, containing billions of partitions and files without difficulty. Additionally, Delta Lake offers data snapshots, which allow developers to retrieve and revert to previous data versions, facilitating audits, rollbacks, or the replication of experiments while ensuring data reliability and consistency across the board.

Upsolver makes it easy to create a governed data lake, manage, integrate, and prepare streaming data for analysis. Only use auto-generated schema on-read SQL to create pipelines. A visual IDE that makes it easy to build pipelines. Add Upserts to data lake tables. Mix streaming and large-scale batch data. Automated schema evolution and reprocessing of previous state. Automated orchestration of pipelines (no Dags). Fully-managed execution at scale Strong consistency guarantee over object storage Nearly zero maintenance overhead for analytics-ready information. Integral hygiene for data lake tables, including columnar formats, partitioning and compaction, as well as vacuuming. Low cost, 100,000 events per second (billions every day) Continuous lock-free compaction to eliminate the "small file" problem. Parquet-based tables are ideal for quick queries.

Leverage your data, regardless of its location, with an open and hybrid data lakehouse designed specifically for AI and analytics. Seamlessly integrate data from various sources and formats, all accessible through a unified entry point featuring a shared metadata layer. Enhance both cost efficiency and performance by aligning specific workloads with the most suitable query engines. Accelerate the discovery of generative AI insights with integrated natural-language semantic search, eliminating the need for SQL queries. Ensure that your AI applications are built on trusted data to enhance their relevance and accuracy. Maximize the potential of all your data, wherever it exists. Combining the rapidity of a data warehouse with the adaptability of a data lake, watsonx.data is engineered to facilitate the expansion of AI and analytics capabilities throughout your organization. Select the most appropriate engines tailored to your workloads to optimize your strategy. Enjoy the flexibility to manage expenses, performance, and features with access to an array of open engines, such as Presto, Presto C++, Spark Milvus, and many others, ensuring that your tools align perfectly with your data needs. This comprehensive approach allows for innovative solutions that can drive your business forward.

The convergence of high-performance computing (HPC) and machine learning is placing unprecedented requirements on storage solutions, as the input/output demands of these two distinct workloads diverge significantly. This shift is occurring at this very moment, with a recent analysis from the independent firm Intersect360 revealing that a striking 63% of current HPC users are actively implementing machine learning applications. Furthermore, Hyperion Research projects that, if trends continue, public sector organizations and enterprises will see HPC storage expenditures increase at a rate 57% faster than HPC compute investments over the next three years. Reflecting on this, Seymour Cray famously stated, "Anyone can build a fast CPU; the trick is to build a fast system." In the realm of HPC and AI, while creating fast file storage may seem straightforward, the true challenge lies in developing a storage system that is not only quick but also economically viable and capable of scaling effectively. We accomplish this by integrating top-tier parallel file systems into HPE's parallel storage solutions, ensuring that cost efficiency is a fundamental aspect of our approach. This strategy not only meets the current demands of users but also positions us well for future growth.

Break down storage silos using Nexenta's innovative storage software, which is driven by open-source principles. This solution offers comprehensive management capabilities through both appliance and customizable reference architectures. You will find all the essential features you expect from a leading provider in software-defined storage. Nexenta’s agile storage software accommodates a range of options, including all-flash, hybrid, and all-HDD configurations. Deployed in countless organizations globally, Nexenta storage software effectively handles a diverse array of workloads and mission-critical tasks. It supports some of the largest cloud infrastructures worldwide, delivers high-quality entertainment content, manages substantial amounts of government data across various continents, and ensures the secure and accessible storage of hundreds of thousands of medical records for healthcare providers everywhere. With its robust capabilities, Nexenta stands as a pivotal solution for modern data management challenges.

SoftNAS is a cloud-native and software-defined enterprise cloud NAS filer product line. It can be used for primary data storage, secondary data storage, and hybrid cloud data integration. It allows existing applications to securely connect to the cloud without reengineering. SoftNAS offers enterprise-class NAS features such as high-availability and deduplication, compression and thin-provisioning. It also supports LDAP integration and Active Directory integration. SoftNAS protects mission critical data, primary, hot data, backup/archive, and makes cloud data migration more efficient and reliable. SoftNAS offers the most comprehensive storage options in terms price vs performance and backend storage choice, available on-demand at petabyte-scale across the AWS Marketplaces and Azure Marketplaces as well as on-premises on VMware.

Burlywood FlashOS™ represents a groundbreaking flash storage architecture that assesses application behavior right at the flash controller level, optimizing SSD performance and features to align seamlessly with the specific needs of applications, ultimately providing tangible advantages for customers utilizing cloud storage, all-flash arrays, and hyper-converged solutions. Our specialized FlashOS™ controller technology paves the way for the next generation of SSDs designed specifically for data centers. It is the first software-defined SSD solution tailored for the complexities of modern cloud applications. By offering in-depth analysis and insights into your storage environment, we empower you with a flexible software business model that ensures control over both the supply chain and costs involved. This solution stands out as the only adaptable, application-centric option available for storage needs, backed by comprehensive technical and strategic support throughout all stages of its lifecycle. In a rapidly evolving landscape, legacy storage systems are simply unable to meet the demands of today’s intricate cloud applications. Therefore, organizations must evolve their storage strategies to remain competitive and efficient.

Scality offers both file and object storage solutions tailored for enterprise data management across various scales. Our service seamlessly integrates with your existing infrastructure, whether it involves conventional on-premises storage or modern cloud-native applications. From vital healthcare and financial information to sensitive government data, cherished national artifacts, and streaming video content, Scality has demonstrated its capability in safeguarding valuable assets, achieving an impressive eleven 9s of data durability for long-term security. With our commitment to reliability, you can trust that your data is in capable hands.

A cohesive, endlessly scalable, and easy-to-manage storage solution tailored for contemporary data centers, this technology effortlessly transforms enterprise storage frameworks into robust tools that foster innovation. SUSE Enterprise Storage stands out as a versatile, dependable, cost-effective, and smart storage system. Built on the Ceph platform, this cloud-native solution is crafted to handle a diverse array of demanding workloads, ranging from archival tasks to high-performance computing (HPC). It is compatible with both x86 and Arm architectures, and can be implemented on commonly available off-the-shelf hardware, enabling organizations to store and process data effectively for gaining a competitive advantage—streamlining business operations and generating deeper insights into customer behavior, thereby enhancing products and services. Furthermore, SUSE Enterprise Storage is designed to support Kubernetes and integrates seamlessly with various technologies such as ML/AI, EDGE, IoT, and embedded systems, making it a comprehensive choice for future-ready enterprises. This adaptability ensures that businesses can stay at the forefront of technological advancements while meeting their evolving storage needs.

Numerous customers of Amazon Web Services (AWS) seek a data storage and analytics solution that surpasses the agility and flexibility of conventional data management systems. A data lake has emerged as an innovative and increasingly favored method for storing and analyzing data, as it enables organizations to handle various data types from diverse sources, all within a unified repository that accommodates both structured and unstructured data. The AWS Cloud supplies essential components necessary for customers to create a secure, adaptable, and economical data lake. These components comprise AWS managed services designed to assist in the ingestion, storage, discovery, processing, and analysis of both structured and unstructured data. To aid our customers in constructing their data lakes, AWS provides a comprehensive data lake solution, which serves as an automated reference implementation that establishes a highly available and cost-efficient data lake architecture on the AWS Cloud, complete with an intuitive console for searching and requesting datasets. Furthermore, this solution not only enhances data accessibility but also streamlines the overall data management process for organizations.

We assist our clients in attaining exceptional efficiency and cost reductions for their private cloud or public cloud storage services. Through our innovative software-defined block storage solution, Lightbits, businesses can effortlessly expand their operations, enhance IT workflows, and cut expenses—all at the speed of local flash technology. This solution breaks the traditional ties between computing and storage, allowing for independent resource allocation that brings the flexibility and efficacy of cloud computing to on-premises environments. Our technology ensures low latency and exceptional performance while maintaining high availability for distributed databases and cloud-native applications, including SQL, NoSQL, and in-memory systems. As data centers continue to expand, a significant challenge remains: applications and services operating at scale must remain stateful during their migration within the data center to ensure that services remain accessible and efficient, even amid frequent failures. This adaptability is essential for maintaining operational stability and optimizing resource utilization in an ever-evolving digital landscape.

BigLake serves as a storage engine that merges the functionalities of data warehouses and lakes, allowing BigQuery and open-source frameworks like Spark to efficiently access data while enforcing detailed access controls. It enhances query performance across various multi-cloud storage systems and supports open formats, including Apache Iceberg. Users can maintain a single version of data, ensuring consistent features across both data warehouses and lakes. With its capacity for fine-grained access management and comprehensive governance over distributed data, BigLake seamlessly integrates with open-source analytics tools and embraces open data formats. This solution empowers users to conduct analytics on distributed data, regardless of its storage location or method, while selecting the most suitable analytics tools, whether they be open-source or cloud-native, all based on a singular data copy. Additionally, it offers fine-grained access control for open-source engines such as Apache Spark, Presto, and Trino, along with formats like Parquet. As a result, users can execute high-performing queries on data lakes driven by BigQuery. Furthermore, BigLake collaborates with Dataplex, facilitating scalable management and logical organization of data assets. This integration not only enhances operational efficiency but also simplifies the complexities of data governance in large-scale environments.

The market experiences limited competition as a result of significant entry barriers, specialized expertise, substantial capital requirements, and extended time-to-market. Moreover, current platforms offer similar pricing and performance, which diminishes the motivation for users to transition. Transitioning from one SQL dialect to another can take months of intensive work. There is a demand for format-independent computing that can seamlessly work with all major open standards. Data leaders in enterprises are currently facing an extraordinary surge in the need for data intelligence. They are taken aback to discover that a mere 10% of their most demanding, compute-heavy tasks account for 80% of the costs, engineering resources, and stakeholder grievances. Regrettably, these workloads are also essential and cannot be neglected. e6data enhances the return on investment for a company's current data platforms and infrastructure. Notably, e6data’s format-agnostic computing stands out for its remarkable efficiency and performance across various leading data lakehouse table formats, thereby providing a significant advantage in optimizing enterprise operations. This innovative solution positions organizations to better manage their data-driven demands while maximizing their existing resources.

Open-E JovianDSS, a ZFS and Linux-based software for data storage, is designed to fit enterprise-level Software Defined Storage (SDS). It is a comprehensive solution for data backup, business continuity and disaster recovery. Open-E JovianDSS is a powerful solution that ensures data integrity, security, and reliability. Its flexible and hardware-agnostic design supports cost-effective storage solutions that allow organizations to optimize their resources while protecting vital data. Backup and disaster recovery features such as High Availability, Off-site Data protection, and Read-only snapshots are built-in to protect business operations and minimize disruptions. Open-E JovianDSS is a flexible platform that adapts to changing IT requirements and provides a secure, scalable and efficient platform for managing enterprise information.

NewEvol is an innovative product suite that leverages data science to conduct advanced analytics, pinpointing irregularities within the data itself. Enhanced by visualization tools, rule-based alerts, automation, and responsive features, NewEvol presents an appealing solution for enterprises of all sizes. With the integration of Machine Learning (ML) and security intelligence, NewEvol stands out as a resilient system equipped to meet complex business requirements. The NewEvol Data Lake is designed for effortless deployment and management, eliminating the need for a team of specialized data administrators. As your organization's data demands evolve, the system automatically adapts by scaling and reallocating resources as necessary. Furthermore, the NewEvol Data Lake boasts extensive capabilities for data ingestion, allowing for the enrichment of information drawn from a variety of sources. It supports diverse data formats, including delimited files, JSON, XML, PCAP, and Syslog, ensuring a comprehensive approach to data handling. Additionally, it employs a state-of-the-art, contextually aware event analytics model to enhance the enrichment process, enabling businesses to derive deeper insights from their data. Ultimately, NewEvol empowers organizations to navigate the complexities of data management with remarkable efficiency and precision.

Traditional Data Lakes frequently simplify their role to merely serving as inexpensive raw data repositories, overlooking crucial elements such as data transformation, quality assurance, and security protocols. Consequently, data scientists often find themselves dedicating as much as 80% of their time to the processes of data acquisition, comprehension, and cleansing, which delays their ability to leverage their primary skills effectively. Furthermore, the establishment of traditional Data Lakes tends to occur in isolation by various departments, each utilizing different standards and tools, complicating the implementation of cohesive analytical initiatives. In contrast, Smart Data Lakes address these challenges by offering both architectural and methodological frameworks, alongside a robust toolset designed to create a high-quality data infrastructure. Essential to any contemporary analytics platform, Smart Data Lakes facilitate seamless integration with popular Data Science tools and open-source technologies, including those used for artificial intelligence and machine learning applications. Their cost-effective and scalable storage solutions accommodate a wide range of data types, including unstructured data and intricate data models, thereby enhancing overall analytical capabilities. This adaptability not only streamlines operations but also fosters collaboration across different departments, ultimately leading to more informed decision-making.

NetApp ONTAP Select provides powerful enterprise storage solutions that can be effortlessly implemented on your preferred commodity hardware within your own data center. By merging the agility and precise capacity scaling of cloud services with the flexibility, durability, and proximity of local storage, it creates a hybrid environment that is highly efficient. This system transforms a server’s internal disk drives, whether they are NVMe, SSD, or HDD, along with HCI and external array storage, into a nimble and adaptable storage infrastructure, delivering many advantages comparable to dedicated storage systems backed by NetApp® ONTAP® data management software. Users can quickly activate storage resources with cloud-like efficiency, transitioning from setup to active data serving in mere minutes. It allows for seamless data movement and replication, ensuring consistent management throughout your data fabric. You can dynamically increase capacity and enhance performance to align with evolving business requirements. Additionally, it supports Extreme Edge deployments, catering to mobile or autonomous vehicles, remote industrial settings, and tactical field operations, further extending its versatile applications. This makes it an ideal solution for organizations looking to optimize their storage strategy in various operational scenarios.

A data lakehouse represents a contemporary, open architecture designed for storing, comprehending, and analyzing comprehensive data sets. It merges the robust capabilities of traditional data warehouses with the extensive flexibility offered by widely used open-source data technologies available today. Constructing a data lakehouse can be accomplished on Oracle Cloud Infrastructure (OCI), allowing seamless integration with cutting-edge AI frameworks and pre-configured AI services such as Oracle’s language processing capabilities. With Data Flow, a serverless Spark service, users can concentrate on their Spark workloads without needing to manage underlying infrastructure. Many Oracle clients aim to develop sophisticated analytics powered by machine learning, applied to their Oracle SaaS data or other SaaS data sources. Furthermore, our user-friendly data integration connectors streamline the process of establishing a lakehouse, facilitating thorough analysis of all data in conjunction with your SaaS data and significantly accelerating the time to achieve solutions. This innovative approach not only optimizes data management but also enhances analytical capabilities for businesses looking to leverage their data effectively.

Dataleyk serves as a secure, fully-managed cloud data platform tailored for small and medium-sized businesses. Our goal is to simplify Big Data analytics and make it accessible to everyone. Dataleyk acts as the crucial link to achieve your data-driven aspirations. The platform empowers you to quickly establish a stable, flexible, and reliable cloud data lake, requiring minimal technical expertise. You can consolidate all of your company’s data from various sources, utilize SQL for exploration, and create visualizations using your preferred BI tools or our sophisticated built-in graphs. Transform your data warehousing approach with Dataleyk, as our cutting-edge cloud data platform is designed to manage both scalable structured and unstructured data efficiently. Recognizing data as a vital asset, Dataleyk takes security seriously by encrypting all your information and providing on-demand data warehousing options. While achieving zero maintenance may seem challenging, pursuing this goal can lead to substantial improvements in delivery and transformative outcomes. Ultimately, Dataleyk is here to ensure that your data journey is as seamless and efficient as possible.

DataLakeHouse.io Data Sync allows users to replicate and synchronize data from operational systems (on-premises and cloud-based SaaS), into destinations of their choice, primarily Cloud Data Warehouses. DLH.io is a tool for marketing teams, but also for any data team in any size organization. It enables business cases to build single source of truth data repositories such as dimensional warehouses, data vaults 2.0, and machine learning workloads. Use cases include technical and functional examples, including: ELT and ETL, Data Warehouses, Pipelines, Analytics, AI & Machine Learning and Data, Marketing and Sales, Retail and FinTech, Restaurants, Manufacturing, Public Sector and more. DataLakeHouse.io has a mission: to orchestrate the data of every organization, especially those who wish to become data-driven or continue their data-driven strategy journey. DataLakeHouse.io, aka DLH.io, allows hundreds of companies manage their cloud data warehousing solutions.

If you're looking to establish a governed delta lake, create a data warehouse, or transition from a conventional database to a contemporary cloud data solution, Lyftrondata has you covered. You can effortlessly create and oversee all your data workloads within a single platform, automating the construction of your pipeline and warehouse. Instantly analyze your data using ANSI SQL and business intelligence or machine learning tools, and easily share your findings without the need for custom coding. This functionality enhances the efficiency of your data teams and accelerates the realization of value. You can define, categorize, and locate all data sets in one centralized location, enabling seamless sharing with peers without the complexity of coding, thus fostering insightful data-driven decisions. This capability is particularly advantageous for organizations wishing to store their data once, share it with various experts, and leverage it repeatedly for both current and future needs. In addition, you can define datasets, execute SQL transformations, or migrate your existing SQL data processing workflows to any cloud data warehouse of your choice, ensuring flexibility and scalability in your data management strategy.

Amazon Security Lake seamlessly consolidates security information from various AWS environments, SaaS platforms, on-premises systems, and cloud sources into a specialized data lake within your account. This service enables you to gain a comprehensive insight into your security data across the entire organization, enhancing the safeguarding of your workloads, applications, and data. By utilizing the Open Cybersecurity Schema Framework (OCSF), which is an open standard, Security Lake effectively normalizes and integrates security data from AWS along with a wide array of enterprise security data sources. You have the flexibility to use your preferred analytics tools to examine your security data while maintaining full control and ownership over it. Furthermore, you can centralize visibility into data from both cloud and on-premises sources across your AWS accounts and Regions. This approach not only streamlines your data management at scale but also ensures consistency in your security data by adhering to an open standard, allowing for more efficient and effective security practices across your organization. Ultimately, this solution empowers organizations to respond to security threats more swiftly and intelligently.