Best Columnar Databases for Elastic Observability

Compare the Top Columnar Databases that integrate with Elastic Observability as of October 2025

This a list of Columnar Databases that integrate with Elastic Observability. Use the filters on the left to add additional filters for products that have integrations with Elastic Observability. View the products that work with Elastic Observability in the table below.

What are Columnar Databases for Elastic Observability?

Columnar databases, also known as column-oriented databases or column-store databases, are a type of database that store data in columns instead of rows. Columnar databases have some advantages over traditional row databases including speed and efficiency. Compare and read user reviews of the best Columnar Databases for Elastic Observability currently available using the table below. This list is updated regularly.

  • 1
    Google Cloud BigQuery
    BigQuery is a columnar database that stores data in columns rather than rows, a structure that significantly speeds up analytic queries. This optimized format helps reduce the amount of data scanned, which enhances query performance, especially for large datasets. Columnar storage is particularly useful when running complex analytical queries, as it allows for more efficient processing of specific data columns. New customers can explore BigQuery’s columnar database capabilities with $300 in free credits, testing how the structure can improve their data processing and analytics performance. The columnar format also provides better data compression, further improving storage efficiency and query speed.
    Starting Price: Free ($300 in free credits)
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  • 2
    Apache Cassandra

    Apache Cassandra

    Apache Software Foundation

    The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data. Cassandra's support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages.
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