Best Query Engines for Cloudera Data Platform

Compare the Top Query Engines that integrate with Cloudera Data Platform as of June 2025

This a list of Query Engines that integrate with Cloudera Data Platform. Use the filters on the left to add additional filters for products that have integrations with Cloudera Data Platform. View the products that work with Cloudera Data Platform in the table below.

What are Query Engines for Cloudera Data Platform?

Query engines are software tools designed to retrieve and process data from databases or large datasets in response to user queries. They efficiently interpret and execute search requests, optimizing the retrieval process to deliver accurate and relevant results quickly. Query engines can handle structured, semi-structured, and unstructured data, making them versatile for various applications such as data analytics, business intelligence, and search engines. They often support complex query languages like SQL and can integrate with multiple data sources to provide comprehensive insights. By optimizing data retrieval, query engines enhance the performance and usability of data-driven applications and decision-making processes. Compare and read user reviews of the best Query Engines for Cloudera Data Platform currently available using the table below. This list is updated regularly.

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    Apache Hive

    Apache Hive

    Apache Software Foundation

    The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive. Apache Hive is an open source project run by volunteers at the Apache Software Foundation. Previously it was a subproject of Apache® Hadoop®, but has now graduated to become a top-level project of its own. We encourage you to learn about the project and contribute your expertise. Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over distributed data. Hive provides the necessary SQL abstraction to integrate SQL-like queries (HiveQL) into the underlying Java without the need to implement queries in the low-level Java API.
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