Apache Hive
Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
Some of the top features or benefits of Apache Hive are: Scalability, SQL-like Interface, Integration with Hadoop Ecosystem, Schema on Read, and Extensibility. You can visit the info page to learn more.
- Open Source
Best Apache Hive Alternatives & Competitors in 2025
The best Apache Hive alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.
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Apache Doris is an open-source real-time data warehouse for big data analytics.
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Seamless project management and collaboration for your team.
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Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
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StarRocks offers the next generation of real-time SQL engines for enterprise-scale analytics. Learn how we make it easy to deliver real-time analytics.
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Distributed SQL Query Engine for Big Data (by Facebook)
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Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
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Learn about Amazon Redshift cloud data warehouse.
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Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
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Greenplum Database is an open source parallel data warehousing platform.
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Azure Data Lake is a real-time data processing and analytics solution that works across platforms and languages.
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euro.message is an email, sms and social marketing solution.
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PostgreSQL is a powerful, open source object-relational database system.
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Fast column-oriented distributed data store