Azure Data Lake Description
Azure Data Lake offers a comprehensive set of features designed to facilitate the storage of data in any form, size, and speed for developers, data scientists, and analysts alike, enabling a wide range of processing and analytics across various platforms and programming languages. By simplifying the ingestion and storage of data, it accelerates the process of launching batch, streaming, and interactive analytics. Additionally, Azure Data Lake is compatible with existing IT frameworks for identity, management, and security, which streamlines data management and governance. Its seamless integration with operational stores and data warehouses allows for the extension of current data applications without disruption. Leveraging insights gained from working with enterprise clients and managing some of the world's largest processing and analytics tasks for services such as Office 365, Xbox Live, Azure, Windows, Bing, and Skype, Azure Data Lake addresses many of the scalability and productivity hurdles that hinder your ability to fully utilize data. Ultimately, it empowers organizations to harness their data's potential more effectively and efficiently than ever before.
Azure Data Lake Alternatives
AnalyticsCreator
Accelerate your data journey with AnalyticsCreator. Automate the design, development, and deployment of modern data architectures, including dimensional models, data marts, and data vaults or a combination of modeling techniques.
Seamlessly integrate with leading platforms like Microsoft Fabric, Power BI, Snowflake, Tableau, and Azure Synapse and more.
Experience streamlined development with automated documentation, lineage tracking, and schema evolution. Our intelligent metadata engine empowers rapid prototyping and deployment of analytics and data solutions.
Reduce time-consuming manual tasks, allowing you to focus on data-driven insights and business outcomes. AnalyticsCreator supports agile methodologies and modern data engineering workflows, including CI/CD.
Let AnalyticsCreator handle the complexities of data modeling and transformation, enabling you to unlock the full potential of your data
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Google Cloud Platform
Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size.
Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge.
Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.
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OneBlox
OneBlox utilizes an integrated scale-out Ring architecture that allows numerous appliances to function as a cohesive global file system. This Ring can comprise one or several OneBlox units, accommodating from a few terabytes to hundreds of terabytes of raw flash storage, or even scaling up to multiple petabytes with hard drives. As the demands for storage evolve, OneBlox provides remarkable flexibility; users can effortlessly introduce any number of drives, at any desired time, and in varying capacities to fulfill their storage needs. This expansion of the global storage pool occurs without the need for additional configuration and without any interruption to applications. Additionally, OneBlox stands out by supporting VMware and Hyper-V environments, which allows virtual machines the ability to leverage scale-out NFS datastores. Users can consolidate multiple NFS datastores within a single OneBlox Ring, scaling to hundreds of terabytes while benefiting from OneBlox’s sophisticated data reduction techniques. For those in need of exceptional performance, the OneBlox 5210 serves as an all-flash array designed specifically for consolidating resource-intensive virtual machines, ensuring optimal efficiency in high-demand scenarios. With its innovative features, OneBlox not only meets current storage needs but also anticipates future growth, making it a versatile solution for dynamic business environments.
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OpenIO
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.
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Integrations
Company Details
Company:
Microsoft
Year Founded:
1975
Headquarters:
United States
Website:
azure.microsoft.com/en-us/solutions/data-lake/
Media
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Product Details
Platforms
Windows
Types of Training
Training Docs
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Azure Data Lake Features and Options
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