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Microsoft Azure Purview VS Apache Atlas

Compare Microsoft Azure Purview VS Apache Atlas and see what are their differences

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Microsoft Azure Purview logo Microsoft Azure Purview

Microsoft Azure Purview is a unified data governance solution that provides capabilities that cover the entire lifecycle from ingestion to cleansing, transformation, and security.

Apache Atlas logo Apache Atlas

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  • Microsoft Azure Purview Landing page
    Landing page //
    2023-03-12
  • Apache Atlas Landing page
    Landing page //
    2021-09-29

Microsoft Azure Purview features and specs

  • Comprehensive Data Governance
    Azure Purview provides a unified data governance solution that allows organizations to catalog, manage, and govern their data across various platforms and services.
  • Automation and Scanning
    It offers automated data discovery and classification features, helping organizations continuously scan and categorize their data assets without manual intervention.
  • Integration with Azure Ecosystem
    Azure Purview seamlessly integrates with other Azure services, enabling organizations to extend their data governance across Azure Data Lake, SQL databases, and other Azure resources.
  • Data Lineage Tracking
    The platform provides data lineage capabilities, allowing users to track the flow of data across various processes, which enhances transparency and accountability.
  • Security and Compliance
    Azure Purview helps organizations maintain compliance with industry standards by providing tools for data privacy and security management.

Possible disadvantages of Microsoft Azure Purview

  • Complexity and Learning Curve
    Due to the comprehensive nature of the tool, there can be a significant learning curve and complexity in setting up and utilizing all of its features effectively.
  • Cost Considerations
    As a premium service within the Azure ecosystem, costs can add up quickly, especially for large enterprises with extensive data assets to manage and govern.
  • Limited to Azure-First Approach
    While Azure Purview integrates well with other Azure services, it may not offer the same level of integration and support for multi-cloud environments as seen with some competitor solutions.
  • Dependency on Azure Platform
    Organizations heavily invested in non-Azure ecosystems may find it less beneficial due to its deep dependency on the Azure platform.
  • Customization Limitations
    Users may encounter limitations in customizing certain aspects of the tool to their specific needs, which can impact its utility in specialized use cases.

Apache Atlas features and specs

  • Open Source
    Apache Atlas is open source, allowing organizations to use and modify it without licensing fees, which reduces costs and promotes flexibility and collaboration.
  • Metadata Management
    It provides robust capabilities for metadata management and governance, helping organizations maintain a comprehensive and organized view of data assets.
  • Data Lineage
    Atlas provides comprehensive data lineage tracking, enabling users to understand data flow across different systems, which aids in audit, compliance, and debugging processes.
  • Integration with Other Tools
    Apache Atlas is designed to integrate well with various tools within the Hadoop ecosystem, such as Apache Hive, Apache Kafka, and Apache HBase, providing a unified data governance framework.
  • Extensibility
    It offers extensible models and APIs, allowing organizations to customize and extend Atlas to meet specific data governance needs.

Possible disadvantages of Apache Atlas

  • Complexity
    Setting up and configuring Apache Atlas can be complex, requiring significant expertise and resources, especially for organizations not already using Hadoop.
  • Limited Support for Non-Hadoop Environments
    Atlas is primarily focused on the Hadoop ecosystem, which may limit its usefulness for organizations not heavily invested in Hadoop technologies.
  • Learning Curve
    The learning curve can be steep for new users, as Apache Atlas involves understanding various components and configurations for effective use.
  • Scalability Concerns
    Users might experience challenges with scalability in very large deployments if not properly optimized, potentially impacting performance.
  • Community Support
    While there is a community for support, it might not be as comprehensive or responsive as commercial alternatives, possibly leading to longer issue resolution times.

Microsoft Azure Purview videos

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Apache Atlas videos

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Apache Atlas Introduction: Need for Governance and Metadata management: Vimal Sharma

More videos:

  • Review - An architecture for federated data discovery & lineage with Apache Atlas

Category Popularity

0-100% (relative to Microsoft Azure Purview and Apache Atlas)

Microsoft Azure Purview

Apache Atlas

Business & Commerce
56 56%
Business & Commerce
44% 44
Office & Productivity
54 54%
Office & Productivity
46% 46
Online Services
57 57%
Online Services
43% 43
Security & Privacy
46 46%
Security & Privacy
54% 54

User comments

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Social recommendations and mentions

Based on our record, Microsoft Azure Purview should be more popular than Apache Atlas. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Microsoft Azure Purview mentions (2)

Apache Atlas mentions (1)

  • What is Data Lineage and How Can It Ensure Data Quality?
    An active data lineage system is “active” because you must create it yourself. This is done by programming the relevant source and transformation information into the system or tagging your data with the appropriate metadata. One example of an active system is Apache Atlas. A properly configured active data lineage system can provide traceability for your data to a very fine degree of detail. However, in order to... - Source: dev.to / over 3 years ago

What are some alternatives?

When comparing Microsoft Azure Purview and Apache Atlas, you can also consider the following products

Minitab Connect - Minitab Connect is a data management platform that comes with cloud-based data and integration workflows having data governance and integration tools.

Kylo - Kylo is an end-to-end data lake management software that provides data from many sources in an automated fashion and optimizes it.

Lyftrondata - Lyftrondata is an end-to-end data delivery platform, providing the right digital transformation having rapid automation and optimizations in place, so one can do better management of their inventory.

IRI Voracity - IRI Voracity is an automated data management platform that helps you extract, transform and load (ETL) your data lake to any data warehouse or cloud.

Zaloni Data Platform - Get self-service data from a platform that accelerates business insights. Use data from any source, anywhere: the cloud, on-premises, multi-cloud or hybrid.

Azure Data Lake - Azure Data Lake is a fully managed data lake service that is built for analytics, machine learning, and data science workloads.

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