Audience
Companies searching for a scalable and secure data lake solution for their high-performance analytics workloads
About Azure Data Lake Storage
Eliminate data silos with a single storage platform. Optimize costs with tiered storage and policy management. Authenticate data using Azure Active Directory (Azure AD) and role-based access control (RBAC). And help protect data with security features like encryption at rest and advanced threat protection. Highly secure with flexible mechanisms for protection across data access, encryption, and network-level control. Single storage platform for ingestion, processing, and visualization that supports the most common analytics frameworks. Cost optimization via independent scaling of storage and compute, lifecycle policy management, and object-level tiering. Meet any capacity requirements and manage data with ease, with the Azure global infrastructure. Run large-scale analytics queries at consistently high performance.
Other Popular Alternatives & Related Software
MongoDB Atlas
The most innovative cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. MongoDB Atlas is the global cloud database service for modern applications. Deploy fully managed MongoDB across AWS, Google Cloud, and Azure with best-in-class automation and proven practices that guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. The best way to deploy, run, and scale MongoDB in the cloud. MongoDB Atlas offers built-in security controls for all your data. Enable enterprise-grade features to integrate with your existing security protocols and compliance standards. With MongoDB Atlas, your data is protected with preconfigured security features for authentication, authorization, encryption, and more.
Learn more about MongoDB Atlas
Teradata VantageCloud
Teradata VantageCloud: The complete cloud analytics and data platform for AI.
Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems.
Learn more about Teradata VantageCloud
Upsolver
Upsolver makes it incredibly simple to build a governed data lake and to manage, integrate and prepare streaming data for analysis. Define pipelines using only SQL on auto-generated schema-on-read. Easy visual IDE to accelerate building pipelines. Add Upserts and Deletes to data lake tables. Blend streaming and large-scale batch data. Automated schema evolution and reprocessing from previous state. Automatic orchestration of pipelines (no DAGs). Fully-managed execution at scale. Strong consistency guarantee over object storage. Near-zero maintenance overhead for analytics-ready data. Built-in hygiene for data lake tables including columnar formats, partitioning, compaction and vacuuming. 100,000 events per second (billions daily) at low cost. Continuous lock-free compaction to avoid “small files” problem. Parquet-based tables for fast queries.
Learn more about Upsolver
Databricks
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
Learn more about Databricks
Integrations
Company Information
Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/storage/data-lake-storage/
Videos and Screen Captures
Other Useful Business Software
Save Up to 91% on Cloud Compute With Spot VMs
Run batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
Product Details
Platforms Supported
Cloud
Training
Documentation
Videos
Support
Phone Support
Online
Azure Data Lake Storage Frequently Asked Questions
Q: What kinds of users and organization types does Azure Data Lake Storage work with?
Azure Data Lake Storage works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Azure Data Lake Storage support in their product?
Azure Data Lake Storage supports these languages: English.
Q: What kind of support options does Azure Data Lake Storage offer?
Azure Data Lake Storage offers support via phone support and online.
Q: What other applications or services does Azure Data Lake Storage integrate with?
Azure Data Lake Storage integrates with: Adobe Real-Time CDP, Autymate, Microsoft Entra ID, Azure Data Lake, Azure Data Share, Azure Databricks, Azure HDInsight, Azure Marketplace, Azure Synapse Analytics, Microsoft Azure, Composable DataOps Platform, Data Sentinel, Herus, Pantomath, Peaka, Progress DataDirect, Replenit, Salesforce Data 360, and IBM StreamSets.
Q: What type of training does Azure Data Lake Storage provide?
Azure Data Lake Storage provides training in the form of documentation and videos.
