Best Columnar Databases for Apache Hive

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Compare the Top Columnar Databases that integrate with Apache Hive as of November 2025

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

What are Columnar Databases for Apache Hive?

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 Apache Hive currently available using the table below. This list is updated regularly.

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    CelerData Cloud
    CelerData is a high-performance SQL engine built to power analytics directly on data lakehouses, eliminating the need for traditional data‐warehouse ingestion pipelines. It delivers sub-second query performance at scale, supports on-the‐fly JOINs without costly denormalization, and simplifies architecture by allowing users to run demanding workloads on open format tables. Built on the open source engine StarRocks, the platform outperforms legacy query engines like Trino, ClickHouse, and Apache Druid in latency, concurrency, and cost-efficiency. With a cloud-managed service that runs in your own VPC, you retain infrastructure control and data ownership while CelerData handles maintenance and optimization. The platform is positioned to power real-time OLAP, business intelligence, and customer-facing analytics use cases and is trusted by enterprise customers (including names such as Pinterest, Coinbase, and Fanatics) who have achieved significant latency reductions and cost savings.
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