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Top 10 Google BigLake Alternatives & Competitors

Research alternative solutions to Google BigLake on G2, with real user reviews on competing tools. Data Warehouse Solutions is a widely used technology, and many people are seeking sophisticated, user friendly software solutions with data lake integration, built-in data analytics, and ai text generation. Other important factors to consider when researching alternatives to Google BigLake include ease of use and reliability. The best overall Google BigLake alternative is IBM Db2. Other similar apps like Google BigLake are Snowflake, Databricks Data Intelligence Platform, Amazon Redshift, and Teradata Vantage. Google BigLake alternatives can be found in Data Warehouse Solutions but may also be in Relational Databases or Big Data Processing And Distribution Systems.

Best Paid & Free Alternatives to Google BigLake

  • IBM Db2
  • Snowflake
  • Databricks Data Intelligence Platform

Top 10 Alternatives to Google BigLake Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Google BigLake stacks up to the competition and find the best product for your business.
    #1
  1. IBM Db2

    By IBM
    (668)4.1 out of 5
  2. IBM® Db2® is the database that offers enterprise-wide solutions handling high-volume workloads. It is optimized to deliver industry-leading performance while lowering costs.

    Categories in common with Google BigLake:
    #2
  3. Snowflake

    (584)4.5 out of 5
  4. Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.

    Categories in common with Google BigLake:
    #3
  5. Databricks Data Intelligence Platform

    (403)4.6 out of 5
  6. Making big data simple

    Categories in common with Google BigLake:
    #4
  7. Amazon Redshift

    (399)4.3 out of 5
  8. Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools.

    Categories in common with Google BigLake:
    #5
  9. Teradata Vantage

    (324)4.3 out of 5
  10. The Teradata Database easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.

    Categories in common with Google BigLake:
    #6
  11. OpenText Vertica

    (216)4.3 out of 5
  12. Vertica offers a software-based analytics platform designed to help organizations of all sizes monetize data in real time and at massive scale.

    Categories in common with Google BigLake:
    #7
  13. lyftrondata

    (135)4.9 out of 5
  14. 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 Google BigLake:
    #8
  15. Rubrik

    (95)4.6 out of 5
  16. Rubrik offers live data access for recovery and application development by fusing enterprise data management with web-scale IT.

    Categories in common with Google BigLake:
    #9
  17. IBM Netezza Performance Server

    By IBM
    (84)4.1 out of 5
  18. 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 Google BigLake:
    #10
  19. SQL Server 2019

    (82)4.5 out of 5
  20. Parallel Data Warehouse offers scalability to hundreds of terabytes and high performance through a massively parallel processing architecture.

    Categories in common with Google BigLake: