Business Software for Amazon S3

Introducing the only software that merges data intelligence via knowledge graphs with multi-cloud data strategies, enhancing business insights like never before. Are you struggling to gather insightful data that could drive your campaigns to success? Discover the intelligence that reveals your customers' desires! Achieve a comprehensive view of your business operations through our unique product, DataBlaze, which offers a complete end-to-end analysis. Equip your data professionals with strategic models without the need for coding, eliminating human errors in the process. Utilize our pre-built machine learning models to help insurers effectively assess and manage property risks. Rawcubes empowers organizations to harness their data by utilizing our advanced data platforms, established domain knowledge graphs, and analytical frameworks to foster improved business insights. Additionally, Rawcubes delivers top-notch data management solutions, business analytical models, and access to an experienced team of data scientists and engineers, ready to provide expert guidance or simply brainstorm your ideas. With Rawcubes, you can finally unlock the full potential of your data and transform it into actionable insights for your business.

Rasgo harnesses the capabilities of GPT-4 to enhance enterprise data analytics through its sophisticated platform, enabling organizations to gain AI-powered insights straight from their enterprise data warehouses (EDWs). This platform seamlessly connects with current data systems, streamlining the process of extracting and analyzing significant insights while minimizing the reliance on manual data handling. Utilizing natural language, Rasgo’s AI agents engage with the data to reveal critical trends and provide ongoing, proactive insights, which empower teams to base their decisions on data and enhance operational efficiency around the clock. Moreover, this innovative approach not only saves time but also facilitates a deeper understanding of the data landscape, fostering a culture of data-driven decision-making across the organization.

Quickly access data from all sources with a single search, including non-security data sources and unstructured data in cloud storage. Control where and how to store data, reducing storage costs and eliminating expensive data churn projects. Supercharge your security investigations with a single view of normalized and enriched search results from across your data sources.

Enhance customer experiences with full transparency through infrastructure-as-code solutions. Blotout's SDK equips businesses with familiar analytics and remarketing capabilities while prioritizing top-notch privacy for users. Designed to comply with GDPR, CCPA, and COPPA right from the start, Blotout’s SDK leverages on-device, distributed edge computing to conduct analytics, messaging, and remarketing without compromising personal data, device identifiers, or IP addresses. Achieve comprehensive customer insights by measuring, attributing, optimizing, and activating customer data with total coverage. It is the only platform that seamlessly integrates the entire customer lifecycle by consolidating event data along with both online and offline sources. Cultivating a trustworthy data relationship with customers fosters loyalty and ensures adherence to GDPR and other international privacy regulations, thereby enhancing your brand's reputation.

Pinot is built to efficiently handle OLAP queries on static data with minimal latency. It incorporates various pluggable indexing methods, including Sorted Index, Bitmap Index, and Inverted Index. While it currently lacks support for joins, this limitation can be mitigated by utilizing Trino or PrestoDB for querying purposes. The system offers an SQL-like language that enables selection, aggregation, filtering, grouping, ordering, and distinct queries on datasets. It comprises both offline and real-time tables, with real-time tables being utilized to address segments lacking offline data. Additionally, users can tailor the anomaly detection process and notification mechanisms to accurately identify anomalies. This flexibility ensures that users can maintain data integrity and respond proactively to potential issues.

Enhance your contemporary applications with VMware Tanzu Kubernetes Grid, enabling you to operate the same Kubernetes environment across data centers, public cloud, and edge computing, ensuring a seamless and secure experience for all development teams involved. Maintain proper workload isolation and security throughout your operations. Benefit from a fully integrated, easily upgradable Kubernetes runtime that comes with prevalidated components. Deploy and scale clusters without experiencing any downtime, ensuring that you can swiftly implement security updates. Utilize a certified Kubernetes distribution to run your containerized applications, supported by the extensive global Kubernetes community. Leverage your current data center tools and processes to provide developers with secure, self-service access to compliant Kubernetes clusters in your VMware private cloud, while also extending this consistent Kubernetes runtime to your public cloud and edge infrastructures. Streamline the management of extensive, multi-cluster Kubernetes environments to keep workloads isolated, and automate lifecycle management to minimize risks, allowing you to concentrate on more strategic initiatives moving forward. This holistic approach not only simplifies operations but also empowers your teams with the flexibility needed to innovate at pace.

Harness the capabilities of both private and public clouds through a unique hybrid data platform tailored for contemporary data architectures, enabling data access from any location. Cloudera stands out as a hybrid data platform that offers unparalleled flexibility, allowing users to choose any cloud, any analytics solution, and any type of data. It streamlines data management and analytics, ensuring optimal performance, scalability, and security for data accessibility from anywhere. By leveraging Cloudera, organizations can benefit from the strengths of both private and public clouds, leading to quicker value realization and enhanced control over IT resources. Moreover, Cloudera empowers users to securely transfer data, applications, and individuals in both directions between their data center and various cloud environments, irrespective of the data's physical location. This bi-directional capability not only enhances operational efficiency but also fosters a more adaptable and responsive data strategy.

Varada offers a cutting-edge big data indexing solution that adeptly balances performance and cost while eliminating the need for data operations. This distinct technology acts as an intelligent acceleration layer within your data lake, which remains the central source of truth and operates within the customer's cloud infrastructure (VPC). By empowering data teams to operationalize their entire data lake, Varada facilitates data democratization while ensuring fast, interactive performance, all without requiring data relocation, modeling, or manual optimization. The key advantage lies in Varada's capability to automatically and dynamically index pertinent data, maintaining the structure and granularity of the original source. Additionally, Varada ensures that any query can keep pace with the constantly changing performance and concurrency demands of users and analytics APIs, while also maintaining predictable cost management. The platform intelligently determines which queries to accelerate and which datasets to index, while also flexibly adjusting the cluster to match demand, thereby optimizing both performance and expenses. This holistic approach to data management not only enhances operational efficiency but also allows organizations to remain agile in an ever-evolving data landscape.

AWS Lake Formation is a service designed to streamline the creation of a secure data lake in just a matter of days. A data lake serves as a centralized, carefully organized, and protected repository that accommodates all data, maintaining both its raw and processed formats for analytical purposes. By utilizing a data lake, organizations can eliminate data silos and integrate various analytical approaches, leading to deeper insights and more informed business choices. However, the traditional process of establishing and maintaining data lakes is often burdened with labor-intensive, complex, and time-consuming tasks. This includes activities such as importing data from various sources, overseeing data flows, configuring partitions, enabling encryption and managing encryption keys, defining and monitoring transformation jobs, reorganizing data into a columnar structure, removing duplicate records, and linking related entries. After data is successfully loaded into the data lake, it is essential to implement precise access controls for datasets and continuously monitor access across a broad spectrum of analytics and machine learning tools and services. The comprehensive management of these tasks can significantly enhance the overall efficiency and security of data handling within an organization.

Permiso is a cloud identity security platform designed to secure every human, non-human, and AI identity across enterprise environments. At the core of the platform is the Universal Identity Graph, which continuously maps identities to credentials, machines, workloads, AI agents, permissions, and runtime activity. This allows security teams to maintain visibility across cloud infrastructure, SaaS applications, CI/CD systems, AI agents, and on-premises environments even when identities move across authentication boundaries. Permiso provides identity discovery, identity security posture management, runtime identity monitoring, threat detection, exposure analysis, and incident response from a single platform. The platform continuously evaluates identity usage patterns, entitlements, stale access, overprivileged accounts, inherited permissions, and runtime behavior to prioritize identities that present the greatest security risk. Its runtime attribution capabilities extend visibility beyond authentication events into agent executions, tool calls, MCP invocations, serverless functions, and machine identities. Permiso also detects lateral movement, credential compromise, anomalous behavior, insider threats, and identity-driven attacks using real-time runtime and control plane telemetry. Organizations can use the platform to secure human users, service accounts, vendors, workloads, APIs, non-human identities, and AI agents across complex enterprise environments. Permiso helps security teams reduce identity-related risk while improving detection, investigation, and response capabilities throughout the identity lifecycle.

Empowering all AI and machine learning initiatives within enterprises to yield reliable and beneficial outcomes is crucial. Data scientists require a platform that guarantees reproducibility for their experiments, ensures discoverability of every asset, and streamlines the transfer of knowledge. Meanwhile, managers need a specialized data science solution to safeguard knowledge, automate reporting tasks, and simplify review processes. Vectice aims to transform the operational dynamics of data science teams and enhance their collaboration. The ultimate objective is to foster a consistent and advantageous impact of AI and ML across various organizations. Vectice is introducing the first automated knowledge solution that is not only cognizant of data science but also actionable and seamlessly integrates with the tools utilized by data scientists. The platform automatically captures all assets generated by AI and ML teams, including datasets, code, notebooks, models, and runs, while also creating comprehensive documentation that spans from business requirements to production deployments, ensuring that every aspect of the workflow is covered efficiently. This innovative approach allows organizations to maximize their data science potential and drive meaningful results.

Amazon Web Services (AWS) provides automotive industry stakeholders with the tools to create serverless IoT applications that can collect, process, analyze, and respond to data from connected vehicles without the need for infrastructure management. Utilizing AWS IoT, users can securely connect their vehicles and devices to the AWS Cloud, benefiting from minimal latency and reduced operational costs. To simplify the development and deployment of various innovative services for connected vehicles, AWS has introduced a comprehensive connected vehicle solution that ensures secure connectivity to the AWS Cloud while facilitating the integration of AWS IoT and AWS Greengrass into the Automotive Grade Linux (AGL) software ecosystem. This solution encompasses features for local data processing within vehicles, advanced event handling, and efficient data storage options. The framework is structured to support a range of connected vehicle services, empowering developers to concentrate on enhancing the overall functionality of their applications. Furthermore, this integrated approach allows automotive manufacturers to innovate rapidly and respond to market demands effectively.

Implement comprehensive OTA software updates, edge data gathering, and diagnostic functions for any vehicle framework on a unified platform tailored for OEMs and the software-defined vehicle landscape. Expedite product launches, reduce recall incidents, and enhance customer satisfaction with a renowned connected vehicle platform that grows alongside your needs. Leverage the Sibros Deep Connected Platform to enhance fleet health, refine future product designs, decrease recall issues, and explore innovative connected services. Transmit secure software updates to every ECU, addressing coding errors, lowering recall expenses, or enhancing vehicle capabilities and performance from anywhere at any time using OTA Deep Updater. Improve fleet health and open up new revenue streams through the collection of deep, high-quality, and actionable vehicle data from all ECUs with OTA Deep Logger. Simplify maintenance tasks and elevate connected service offerings by activating secure user and diagnostic commands for any ECU, ensuring a seamless integration of technology into the automotive experience. This holistic approach not only fosters innovation but also drives efficiency across the board.

Driving the most efficient, compact, scalable, and adaptable storage solution in existence, the Pavilion HyperParallel File System™ enables unlimited scalability across numerous Pavilion HyperParallel Flash Arrays™, achieving an impressive 1.2 TB/s for read operations and 900 GB/s for writes, alongside 200 million IOPS at a mere 25 microseconds latency for each rack. This system stands out with its remarkable ability to offer independent and linear scalability for both capacity and performance, as the Pavilion HyperOS 3 now incorporates global namespace support for NFS and S3, thus facilitating boundless, linear scaling across countless Pavilion HyperParallel Flash Array units. By harnessing the capabilities of the Pavilion HyperParallel Flash Array, users can experience unmatched levels of performance and uptime. Furthermore, the Pavilion HyperOS integrates innovative, patent-pending technologies that guarantee constant data availability, providing swift access that far surpasses traditional legacy arrays. This combination of scalability and performance positions Pavilion as a leader in the storage industry, catering to the needs of modern data-driven environments.

Great Expectations serves as a collaborative and open standard aimed at enhancing data quality. This tool assists data teams in reducing pipeline challenges through effective data testing, comprehensive documentation, and insightful profiling. It is advisable to set it up within a virtual environment for optimal performance. For those unfamiliar with pip, virtual environments, notebooks, or git, exploring the Supporting resources could be beneficial. Numerous outstanding companies are currently leveraging Great Expectations in their operations. We encourage you to review some of our case studies that highlight how various organizations have integrated Great Expectations into their data infrastructure. Additionally, Great Expectations Cloud represents a fully managed Software as a Service (SaaS) solution, and we are currently welcoming new private alpha members for this innovative offering. These alpha members will have the exclusive opportunity to access new features ahead of others and provide valuable feedback that will shape the future development of the product. This engagement will ensure that the platform continues to evolve in alignment with user needs and expectations.

Wallaroo streamlines the final phase of your machine learning process, ensuring that ML is integrated into your production systems efficiently and rapidly to enhance financial performance. Built specifically for simplicity in deploying and managing machine learning applications, Wallaroo stands out from alternatives like Apache Spark and bulky containers. Users can achieve machine learning operations at costs reduced by up to 80% and can effortlessly scale to accommodate larger datasets, additional models, and more intricate algorithms. The platform is crafted to allow data scientists to swiftly implement their machine learning models with live data, whether in testing, staging, or production environments. Wallaroo is compatible with a wide array of machine learning training frameworks, providing flexibility in development. By utilizing Wallaroo, you can concentrate on refining and evolving your models while the platform efficiently handles deployment and inference, ensuring rapid performance and scalability. This way, your team can innovate without the burden of complex infrastructure management.

At Crisp, we harness the capabilities of cloud technology to seamlessly connect and evaluate all your data sources in real-time, enabling you to uncover valuable insights and trends tailored for your business. By integrating your data with a myriad of brands, distributors, and retailers, we embody the Crisp approach. Our platform offers cutting-edge industry insights and trends, redefining the collaboration standards among retailers, distributors, and brands. The data you provide is displayed in a user-friendly dashboard that is not only easy to interpret and share but also continuously updated. With an abundance of data at your fingertips, the question arises: how do you utilize it effectively? How can you transform it into actionable insights? Crisp equips you with the essential data and empowers you to leverage it for a significant competitive edge. You are able to assess and organize various data sources, subsequently gathering and converting them into cohesive, actionable insights for a dependable supply chain. This transformative process allows businesses to make informed decisions and adapt swiftly to market changes.

Overcome the challenges associated with the cost and complexity of managing, transferring, and utilizing data on a large scale. Capture vast amounts of unstructured data while simultaneously driving down IT expenses with an unmatched cost per petabyte and a reliable as-a-service consumption framework. Position storage solutions nearer to the data generation points. Eliminate reliance on the public internet and navigate the constraints of data gravity that lead to isolated data silos and unnecessary deletions. Gain command over your data and connect seamlessly with any cloud or computational environment to boost your hybrid multi-cloud capabilities. Transfer your data to locations that yield the highest value without incurring egress or access fees, while also enabling swift data movement across edge and cloud storage systems. Lyve, from Seagate, serves as an edge-to-cloud mass storage solution, offering a complete array of services, hardware, and software tailored for data-centric, distributed organizations. With a straightforward and predictable as-a-service model, you can avoid vendor lock-in and unexpected charges on your monthly invoices. This innovative platform empowers businesses to optimize their data strategies and maximize operational efficiency.

The design driven by community collaboration ensures quicker access to cutting-edge innovations, while open source coding allows for customization based on specific requirements. Experience rapid data access with software designed for exabyte-scale, enhancing both the scalability and efficiency of storage media. This solution is specifically optimized to accommodate growth in HDD capacity, ensuring data durability and facilitating recovery processes. You can now obtain CORTX, a thoroughly tested and supported version, packaged with our integrated infrastructure solution, Lyve Drive™ Rack. With Lyve Drive Rack, we are transforming enterprise storage by offering a cohesive solution that combines up to 1.7PB of storage with CORTX object storage, providing the necessary capacity without incurring costly software licensing fees. Enjoy scalable performance without global locks across various data types, including consistent object, key-value, file, and clusters. This approach not only enhances your data experience but also adds organization to unstructured data, enabling seamless access, rapid search capabilities, and efficient analysis. Furthermore, this innovative solution is designed to adapt to the evolving needs of your business, ensuring that you are always equipped with the latest advancements in storage technology.

This approach effectively manages incoming user requests to your website during periods of high traffic influx. It establishes a cloud-based system that temporarily diverts incoming traffic, offering customizable features to incorporate a virtual waiting room. This waiting room serves as a temporary holding space for website visitors, allowing them to access the site once there is sufficient capacity. Common scenarios for utilizing this solution include ticket sales for concerts or sporting events, significant retail sales like Black Friday, major product launches with extensive marketing campaigns, as well as online testing and class attendance for educational purposes. Additionally, it can be employed during the release of medical appointment slots or when introducing a new direct-to-consumer service that necessitates account registration and payment processing. Upon entering the waiting room, users receive a queue number that ensures they retain their spot; they are allowed to proceed to the main site only when it's their turn in line, thereby streamlining the flow of traffic and enhancing the user experience. This method ensures that all visitors have a fair chance to access the website without overwhelming the system.

The StorCentric Data Mobility Suite (DMS) is a comprehensive software solution designed to facilitate the effortless transfer of data to its appropriate locations. This cloud-enabled platform provides robust support for data migration, replication, and synchronization across diverse environments such as disk, tape, and cloud, helping organizations maximize their return on investment by breaking down data silos. With its vendor-agnostic capabilities, DMS allows for easy management and deployment on standard servers. It has the capacity to handle the simultaneous transfer of millions of files while ensuring the security of data in transit through SSL encryption. By simplifying point-to-point data movement, DMS addresses the flow requirements across various storage platforms effectively. Furthermore, its detailed filtering options and continuous incremental updates help overcome the complexities associated with consolidating data in mixed environments. The suite also allows for the synchronization of files across different storage repositories, including both tape and disk, ensuring that organizations can manage their data efficiently and effectively. Ultimately, DMS enhances overall data management strategies, making it an essential tool for modern enterprises.

Organizations frequently struggle to navigate the swift expansion and accessibility of numerous on-premise and cloud storage solutions within their operations. This often leads to a convoluted environment that is increasingly hard to secure and frequently incurs high costs due to vendor lock-in. Many outdated systems are haphazardly combined, and the hidden expenses associated with vendor lock-in can be substantial. Efficiently and securely utilizing public cloud resources presents its own challenges. A customer-hosted global scale-out software platform exists that empowers enterprises to integrate, safeguard, and bring together multiple on-prem and in-cloud storage providers. It provides a seamless experience through unified virtual namespaces and standard APIs available to enterprise users around the globe. By implementing StorageFabric, organizations can break free from costly vendor dependencies and the intricacies of integration while addressing the significant security risks associated with cloud computing. In addition, StorageFabric serves as a high-performance, low-friction data layer designed to unify, protect, migrate, and commoditize various storage solutions effectively. This innovative approach not only simplifies management but also enhances overall data accessibility and security across the enterprise landscape.

IBM Spectrum Virtualize™ and IBM Spectrum Virtualize™ for Public Cloud enable seamless mirroring between on-premises and cloud data centers, as well as between different cloud data centers. You can effortlessly transfer data between on-premises facilities and public cloud environments or across various public cloud platforms. This solution provides a uniform approach to data management, ensuring consistency across on-premises storage and public cloud resources. By integrating with existing on-premises software, you can replicate or migrate data from a vast array of over 500 supported storage systems, allowing you to enhance your hybrid cloud capabilities without incurring significant new expenses. With a flexible monthly pricing model, you only pay for the storage capacity you utilize in the public cloud. Additionally, you can implement effective disaster recovery strategies that span both on-premises and public cloud data centers. Furthermore, the solution facilitates cloud-based DevOps by simplifying the replication of data from local sources, streamlining development and operational processes. This integrated approach not only enhances efficiency but also supports innovation in data management practices.

The trend of cloudification and the management of multi-cloud environments is firmly established. With HybridMount, you can seamlessly integrate storage solutions from both public clouds and remote servers, facilitating a cloud storage gateway that streamlines hybrid-cloud applications, data migration to the cloud, cloud backup and restoration, as well as enabling collaboration for remote work. HybridMount offers the ability to mount storage from a variety of sources, encompassing cloud storage and distant servers. This flexibility in mounting options allows for the efficient expansion of a QNAP NAS (or other compatible QNAP devices), while simultaneously ensuring centralized management of files across the NAS, cloud storage, and remote systems through a unified interface. Furthermore, it allows for integration with popular cloud services to enhance functionality. In addition, cloud storage gateways are supported, providing quick local access to cloud data through effective caching, thus improving overall performance and user experience.

Experience the power of advanced computing right at your fingertips. With the capabilities of parallel computing and innovative algorithms, there's no reason to hesitate any longer. Created specifically for data scientists in the business realm, this all-inclusive time-series platform delivers the fastest computing available. Shapelets offers a suite of analytical tools, including causality analysis, discord detection, motif discovery, forecasting, and clustering, among others. You can also run, expand, and incorporate your own algorithms into the Shapelets platform, maximizing the potential of Big Data analysis. Seamlessly integrating with various data collection and storage systems, Shapelets ensures compatibility with MS Office and other visualization tools, making it easy to share insights without requiring extensive technical knowledge. Our user interface collaborates with the server to provide interactive visualizations, allowing you to fully leverage your metadata and display it through a variety of modern graphical representations. Additionally, Shapelets equips professionals in the oil, gas, and energy sectors to conduct real-time analyses of their operational data, enhancing decision-making and operational efficiency. By utilizing Shapelets, you can transform complex data into actionable insights.