Software Alternatives, Accelerators & Startups

Cloudera Navigator VS Apache Atlas

Compare Cloudera Navigator VS Apache Atlas and see what are their differences

Cloudera Navigator logo Cloudera Navigator

Learn how your business can manage data and get more done with Cloudera Navigator.

Apache Atlas logo Apache Atlas

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  • Cloudera Navigator Landing page
    Landing page //
    2023-09-25
  • Apache Atlas Landing page
    Landing page //
    2021-09-29

Cloudera Navigator features and specs

  • Data Lineage
    Cloudera Navigator offers comprehensive data lineage capabilities, providing detailed tracking of data from its origin to its destination. This helps in understanding and validating data transformations and processing steps.
  • Security and Compliance
    Cloudera Navigator ensures robust security features, including data encryption and user activity monitoring, which help in meeting regulatory compliance requirements.
  • Scalability
    Built on a scalable architecture, Cloudera Navigator can handle large and complex datasets, making it suitable for enterprise-level data management tasks.
  • Integration
    It integrates well with other Cloudera platforms and tools, providing a unified management experience for data across the entire Cloudera ecosystem.
  • User-friendly Interface
    The platform offers an intuitive user interface, making it easier for users to navigate and manage data assets without extensive technical expertise.
  • Metadata Management
    Cloudera Navigator provides robust metadata management features that help in organizing and categorizing data assets, improving data discoverability and governance.

Possible disadvantages of Cloudera Navigator

  • Cost
    The enterprise-level features and capabilities can come with a significant cost, which might be a barrier for smaller organizations.
  • Complexity
    While powerful, the platform can be complex to set up and configure, requiring significant effort and expertise to optimize its use.
  • Performance Overhead
    The comprehensive monitoring and auditing capabilities can introduce performance overhead, impacting the overall efficiency of data processing activities.
  • Learning Curve
    Despite a user-friendly interface, the depth of features available can result in a steep learning curve for new users who are not familiar with advanced data management concepts.
  • Vendor Lock-in
    Given its deep integration with the Cloudera ecosystem, there may be concerns around vendor lock-in, making it challenging to switch to different platforms in the future.
  • Customization Limits
    While providing a robust set of features, there might be limited scope for customization to meet specific organizational needs compared to other solutions that offer more flexible configuration options.

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.

Cloudera Navigator videos

Demo Cloudera Navigator

More videos:

  • Review - Cloudera Navigator Audit Server Checkup

Apache Atlas videos

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 Cloudera Navigator and Apache Atlas)
Business & Commerce
68 68%
32% 32
Data Dashboard
100 100%
0% 0
Office & Productivity
49 49%
51% 51
Monitoring Tools
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apache Atlas seems to be more popular. It has been mentiond 1 time 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.

Cloudera Navigator mentions (0)

We have not tracked any mentions of Cloudera Navigator yet. Tracking of Cloudera Navigator recommendations started around Mar 2021.

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 Cloudera Navigator and Apache Atlas, you can also consider the following products

Alation - Alation is a platform that makes data more accessible to individuals across an organization.

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.

SAP Master Data Governance (MDG) - SAP Master Data Governance (MDG) is a platform that enables organizations worldwide to enhance the consistency and quality of data.

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

Tercept Unified Analytics - Tercept automatically aggregates and organizes all monetization data,analytics data and marketing data into one single dashboard with powerful querying and visualization capabilities. You can setup custom reports and automate 100% of your reporting.

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