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Azure Data Lake Store description
Azure Data Lake Store is a cloud-based system designed for storing vast amounts of data of various types. It prioritizes security and can expand to accommodate growing storage needs. Built upon the open HDFS standard, it enables companies to perform large-scale data analysis.
Who is Azure Data Lake Store best for
Azure Data Lake Store is a scalable and secure cloud storage solution designed for large-scale data analysis. Users appreciate its easy integration with other Azure services and flexible security mechanisms. However, some have noted limitations in documentation and data pipeline processes. It's a cost-effective choice for companies needing robust big data storage and analytics.
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Ideal for mid-size to enterprise-level companies.
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Best for software, IT, and telecommunications companies.
Azure Data Lake Store features
| Supported Azure Data Lake Storage Gen2 supports storage tiers (hot, cool, cold, archive) for cost optimization. |
| Supported Azure Data Lake Storage supports ingesting data from Parquet files using various Azure services. |
| Supported Azure Data Lake Store offers a scalable architecture suitable for growing data needs. |
| Supported Azure Data Lake Store supports HDFS compatibility for large-scale data analysis. |
| Supported Azure Data Lake Storage Gen2 supports encryption, adheres to industry standards like GDPR and SOC, and integrates with Azure Security Center. |
Azure Data Lake Store reviews
We've summarised 44 Azure Data Lake Store reviews (Azure Data Lake Store G2 reviews) and summarised the main points below.
- Scalable, easy to use and implement, and cost-efficient.
- Integrates well with other Azure services.
- Flexible security mechanisms to secure data.
- Handles large volumes of structured and unstructured data.
- Cost-effective cloud data lake.
- Limited support for certain features and outdated documentation.
- Data pipeline requires improvement in event-driven processes like streaming and lacks data validation options.
- Query performance requires improvement.
- Setup and configuration can be complex for new users.
- Limited integration with some services and APIs.
Azure Data Lake Store pricing
The commentary is based on 16 reviews from Azure Data Lake Store G2 reviews.
Azure Data Lake Storage offers cost-effective, scalable storage for big data analytics. Users appreciate its cost efficiency, especially for large datasets. However, some find the pricing structure complex and costs can increase with certain integrations or functionalities. Overall, it's considered a valuable service for storing and processing large volumes of data.
Users sentiment
Azure Data Lake Store alternatives
SnowflakeBetter for Software, IT & Telecommunications. Has broader industry applicability. Is growing faster. Supports columnar storage and NoSQL DB integration.Read more
TIBCO Data FabricBetter for organizations needing a unified view of disparate data sources. Has broader data integration capabilities, including data virtualization and BI tool integration. Azure Data Lake Store is growing faster.Read more
Google Cloud StorageBetter for users new to cloud storage due to ease of use and setup. Offers a wider range of industry applications. Provides more accessible documentation and customer support. A more cost-effective Azure Data Lake Store alternative, especially for large storage needs.Read more
SAP IQBetter for handling extremely large datasets and complex queries. Pricing may be less favorable, especially for smaller businesses. Strong performance for reporting and analytics with columnar storage.Read more
Microsoft SQL ServerBetter for relational data and transactions. More suitable for on-premise or hybrid deployments. Broader industry applicability across various sectors.Read more
QuobyteBetter for hybrid and multi-cloud deployments. A suitable Azure Data Lake Store competitor for users prioritizing on-premise or hybrid solutions. Integrates with AWS and OpenStack via S3, unlike Azure Data Lake Store.Read more
Azure Data Lake Store FAQ
What is Azure Data Lake Store and what does Azure Data Lake Store do?
Azure Data Lake Store is a scalable, secure, and cost-effective cloud-based data lake solution for storing and analyzing large volumes of diverse data. Built on the open HDFS standard, it integrates with other Azure services, offering flexible security and support for structured and unstructured data. It's ideal for big data analytics.
How does Azure Data Lake Store integrate with other tools?
Azure Data Lake Store integrates seamlessly with other Azure services like Azure HDInsight, Azure Databricks, and Azure Synapse Analytics for comprehensive data solutions. It leverages the HDFS standard, ensuring compatibility with a wide range of big data tools. This allows for efficient data ingestion, processing, and analysis within the Azure ecosystem.
What the main competitors of Azure Data Lake Store?
Top Azure Data Lake Store alternatives include Snowflake, Amazon S3, and Google Cloud Storage. These competitors offer similar cloud-based data lake solutions with scalable storage and analytics capabilities. Some may find these alternatives easier to integrate with existing cloud ecosystems.
Is Azure Data Lake Store legit?
Azure Data Lake Store is a secure and legitimate data lake solution. Its scalable architecture, built on the open HDFS standard, supports massive data storage and analysis. Users praise its scalability and integration with other Azure services.
How much does Azure Data Lake Store cost?
I couldn't find pricing details for Azure Data Lake Store. Contact Microsoft directly for product pricing or explore alternatives if budget is a concern.
Is Azure Data Lake Store customer service good?
Customer reviews on Azure Data Lake Store's support are mixed. Some users appreciate the platform's scalability and ease of use, while others mention limited support for certain features and outdated documentation as drawbacks. Several users highlight the platform's ability to resolve scalability challenges and ensure data security.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.