Top 10 Red Hat jBoss Data Virtualization Alternatives & Competitors

(16)4.1 out of 5

Red Hat jBoss Data Virtualization is not the only option for Data Virtualization Software. Explore other competing options and alternatives. Other important factors to consider when researching alternatives to Red Hat jBoss Data Virtualization include integration and storage. The best overall Red Hat jBoss Data Virtualization alternative is SAP HANA Cloud. Other similar apps like Red Hat jBoss Data Virtualization are Spotfire, AWS Glue, Denodo, and lyftrondata. Red Hat jBoss Data Virtualization alternatives can be found in Data Virtualization Software but may also be in ETL Tools or On-Premise Data Integration Software.

Best Paid & Free Alternatives to Red Hat jBoss Data Virtualization

  • SAP HANA Cloud
  • Spotfire
  • AWS Glue

Top 10 Alternatives to Red Hat jBoss Data Virtualization Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Red Hat jBoss Data Virtualization stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Financial Services, and Medical Devices, and find the best product for your business.
    #1
  1. SAP HANA Cloud

    (514)4.3 out of 5
  2. SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.

    Categories in common with Red Hat jBoss Data Virtualization:

    Reviewers say compared to Red Hat jBoss Data Virtualization, SAP HANA Cloud is:

    More expensive
    Better at meeting requirements
    Better at support
    #2
  3. Spotfire

    (356)4.2 out of 5
  4. Self-service data discovery. Fastest to actionable insight. Collaborative, predictive, event-driven data analysis - free from IT.

    Categories in common with Red Hat jBoss Data Virtualization:

    Reviewers say compared to Red Hat jBoss Data Virtualization, Spotfire is:

    Better at meeting requirements
    More expensive
    Better at support
    #3
  5. AWS Glue

    (194)4.3 out of 5
  6. AWS Glue is a fully managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load their data for analytics.

    Categories in common with Red Hat jBoss Data Virtualization:

    Reviewers say compared to Red Hat jBoss Data Virtualization, AWS Glue is:

    Better at meeting requirements
    Better at support
    More expensive
    #4
  7. Denodo

    (36)4.1 out of 5
  8. Denodo provides performance and unified access to the broadest range of enterprise, Big Data, cloud and unstructured sources.

    Categories in common with Red Hat jBoss Data Virtualization:

    Reviewers say compared to Red Hat jBoss Data Virtualization, Denodo is:

    Better at meeting requirements
    More expensive
    Better at support
    #5
  9. lyftrondata

    (135)4.9 out of 5
  10. lyftrondata modern data hub combines an effortless data hub with agile access to data sources. Lyftron eliminates traditional ETL/ELT bottlenecks with automatic data pipeline and make data instantly accessible to BI user with the modern cloud compute of Spark & Snowflake. Lyftron connectors automatically convert any source into normalized, ready-to-query relational format and provide search capability on your enterprise data catalog.

    Categories in common with Red Hat jBoss Data Virtualization:

    Reviewers say compared to Red Hat jBoss Data Virtualization, lyftrondata is:

    Better at support
    Better at meeting requirements
    More usable
    #6
  11. Informatica PowerCenter

    (85)4.4 out of 5
  12. Informatica PowerCenter is an ETL tool that is used to enterprise extract, transform, and load the data from the sources. We can build enterprise data warehouses with the help of the Informatica PowerCenter. The Informatica PowerCenter produces the Informatica Crop.

    Categories in common with Red Hat jBoss Data Virtualization:

    Reviewers say compared to Red Hat jBoss Data Virtualization, Informatica PowerCenter is:

    Better at meeting requirements
    Better at support
    More expensive
    #7
  13. IBM Netezza Performance Server

    (84)4.1 out of 5
  14. IBM Netezza Performance Server is a purpose-built, standards-based data warehouse and analytics appliance that integrates database, server, storage and analytics into an easy-to-manage system. It is designed for high-speed analysis of big data volumes, scaling into the petabytes.

    Categories in common with Red Hat jBoss Data Virtualization:

    Reviewers say compared to Red Hat jBoss Data Virtualization, IBM Netezza Performance Server is:

    Better at meeting requirements
    More expensive
    Better at support
    #8
  15. TIBCO Data Virtualization

    (32)4.2 out of 5
  16. An enterprise data virtualization solution that orchestrates access to multiple and varied data sources and delivers the data sets and IT-curated data services foundation for nearly any analytics solution

    Categories in common with Red Hat jBoss Data Virtualization:

    Reviewers say compared to Red Hat jBoss Data Virtualization, TIBCO Data Virtualization is:

    Better at meeting requirements
    Better at support
    More expensive
    #9
  17. Oracle Virtualization

    (31)4.3 out of 5
  18. Oracle VM reduces operations and support costs while increasing IT efficiency and agility on premises and in the cloud.

    Categories in common with Red Hat jBoss Data Virtualization:

    Reviewers say compared to Red Hat jBoss Data Virtualization, Oracle Virtualization is:

    Better at meeting requirements
    Better at support
    #10
  19. Data Virtuality

    (20)4.7 out of 5
  20. Data Virtuality is a data integration solution that allows its users to instantly access and model data from any database and API with analysis tools.

    Categories in common with Red Hat jBoss Data Virtualization:

    Reviewers say compared to Red Hat jBoss Data Virtualization, Data Virtuality is:

    Better at support
    Better at meeting requirements
    Easier to set up