Hawq

Query/Data Flow

Apache HAWQ is an open-source, native SQL-on-Hadoop query engine that was originally developed by Pivotal Software and later contributed to the Apache Software Foundation.

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Apache HAWQ is a native SQL-on-Hadoop query engine that provides parallel, ANSI SQL-compliant query execution on Apache Hadoop clusters.

Apache HAWQ is an open-source, native SQL-on-Hadoop query engine that was originally developed by Pivotal Software and later contributed to the Apache Software Foundation. The project was designed to provide high-performance, parallel SQL query execution on Apache Hadoop clusters, leveraging a massively parallel processing (MPP) architecture. HAWQ's development was driven by the need for a fast, ANSI SQL-compliant engine that could handle large-scale data analytics directly on Hadoop Distributed File System (HDFS) and other data sources.

The project's GitHub repository was archived by the owner on July 23, 2024, and is now read-only, with the last commit occurring on February 4, 2023. This indicates that active development has ceased, and the project is no longer maintained. As of June 2026, HAWQ has no known commercial entity, funding, or revenue.

The project does not have a headquarters or a founding date publicly listed. The repository shows 696 stars and 323 forks, with 24 branches and 23 tags, but no recent activity. The project's JIRA issue tracker (HAWQ-1855) shows the last resolved issue was in early 2023.

There are no known customers, notable clients, or recent news about HAWQ. The project's market position is effectively defunct, as it has been superseded by other SQL-on-Hadoop engines like Apache Spark SQL, Presto, and Hive LLAP, which have more active communities and commercial backing. The project's strengths, such as its MPP architecture and integration with HDFS, are now outdated.

The primary risk is that the project is no longer maintained, making it unsuitable for new deployments. There are no recent funding rounds, acquisitions, or layoffs associated with HAWQ.

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Who buys this

  • Data engineers and analysts using Hadoop for large-scale data warehousing
  • Organizations running Apache Hadoop clusters who need SQL access to data in HDFS
  • Enterprises migrating from traditional MPP databases to Hadoop-based data lakes
  • Users of Apache Ambari or other Hadoop management tools seeking integrated SQL engines

Strengths and what to watch

Strengths

  • Native MPP architecture that can deliver high query performance on large datasets stored in HDFS
  • ANSI SQL compliance, enabling use of standard SQL without custom extensions
  • Integration with Apache Hadoop ecosystem, including HDFS, YARN, and Apache Ranger for security

Watch for

  • Project is archived and no longer maintained; no new features, security patches, or bug fixes are being released
  • No commercial entity or support ecosystem exists; users must rely on community resources that are now stale
  • Superseded by more active SQL-on-Hadoop engines like Apache Spark SQL and Presto, which have larger communities and commercial backing

Key Information

Industry
Query/Data Flow
Founded
1986

Frequently Asked Questions

What is Apache HAWQ?

Apache HAWQ is an open-source, native SQL-on-Hadoop query engine that provides parallel, ANSI SQL-compliant query execution on Apache Hadoop clusters. It was originally developed by Pivotal Software and contributed to the Apache Software Foundation.

Is Apache HAWQ still maintained?

No, Apache HAWQ is no longer maintained. Its GitHub repository was archived on July 23, 2024, and is now read-only. The last commit was on February 4, 2023, and the JIRA issue tracker shows the last resolved issue in early 2023.

What are the strengths of Apache HAWQ?

Apache HAWQ features a native massively parallel processing (MPP) architecture for high query performance on large datasets in HDFS. It offers ANSI SQL compliance, enabling standard SQL usage, and integrates with Hadoop ecosystem components like HDFS, YARN, and Apache Ranger.

What are the risks of using Apache HAWQ?

The primary risk is that Apache HAWQ is archived and no longer maintained. There are no new features, security patches, or bug fixes. No commercial entity or support ecosystem exists, making it unsuitable for new deployments.

How does Apache HAWQ compare to Spark SQL or Presto?

Apache HAWQ has been superseded by more active SQL-on-Hadoop engines like Apache Spark SQL and Presto. These alternatives have larger communities, commercial backing, and ongoing development, while HAWQ is now defunct with no updates.

Who should consider using Apache HAWQ?

Apache HAWQ was designed for data engineers and analysts using Hadoop for large-scale data warehousing, organizations needing SQL access to HDFS, and enterprises migrating from traditional MPP databases. However, due to its archived status, it is not recommended for new projects.

Sources

  1. github.com — Repository archived on July 23, 2024, last commit February 4, 2023, project status as read-only
  2. ir.crowdstrike.com — No connection to HAWQ; used to confirm no recent financial data for HAWQ exists in this source
  3. investors.broadcom.com — No connection to HAWQ; used to confirm no recent financial data for HAWQ exists in this source
  4. investors.terawulf.com — No connection to HAWQ; used to confirm no recent financial data for HAWQ exists in this source
  5. www.hpe.com — No connection to HAWQ; used to confirm no recent financial data for HAWQ exists in this source
  6. news.crunchbase.com — No connection to HAWQ; used to confirm no recent layoffs or funding news for HAWQ exists in this source
  7. intellizence.com — No connection to HAWQ; used to confirm no recent layoff news for HAWQ exists in this source