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Apache Hive vs PrestoDB

Apache Hive

hive.apache.org

PrestoDB

prestodb.io

Side by side

FigureApache HivePrestoDB
Price fromFreeFree
Free planYesYes
Free trial——
Open sourceYesYes
Web—Yes
WindowsYes—
macOSYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published12
Spec score · Query Engine Software9.0 (#1)8.4 (#6)
Spec score · Analytics Databases9.0 (#4)8.5 (#7)
Spec score · Big Data Analytics Software8.9 (#4)8.4 (#10)
Spec score · OLAP Databases8.9 (#5)8.4 (#7)
DeploymentThe official quickstart provides Docker instructions for running HiveServer2 and the Metastore in a container.The project provides a server tarball, command line interface, JDBC driver, and Docker container for getting started.
Documentation depthThe documentation site provides tutorials, administration guides, configuration references and versioned Javadocs.The documentation covers installation, clients, security, administration, caching, optimization, connectors, SQL, REST, troubleshooting, releases and developer APIs.
PurposeApache Hive is a distributed, fault-tolerant data warehouse system for reading, writing, and managing large datasets with SQL.Presto is a distributed SQL query engine designed to query large data sets across heterogeneous data sources.
Rating on TrustRadius8 out of 10 from 35 reviews.10 out of 10 from 19 reviews
SecurityThe site describes Kerberos authentication, fine-grained access control, and audit logging; HiveServer2 documentation also lists LDAP, PAM, and custom authentication options.Presto documents Kerberos, LDAP, password-file and OAuth 2.0 authentication, along with access control and secure internal communication.
Self-hostingUsers can install Hive from a binary tarball or clone the Git repository and build a distribution with Maven.Presto can be installed from a server tarball and deployed manually, with Docker, Homebrew or Helm.
What it doesApache Hive is distributed data-warehouse software for reading, writing and managing very large datasets in distributed storage through SQL.Presto is a distributed SQL query engine for interactive analytics over very large datasets and multiple data sources.

Plans

Apache Hive

  • Apache HiveFree

Apache Hive pricing →

PrestoDB

  • PrestoDBFree
  • Presto open-source distributionFree

PrestoDB pricing →

In their own words

Apache Hive

Apache Hive is a distributed data warehouse system for reading, writing, and managing large datasets with SQL. Its Metastore keeps shared metadata for tables and partitions and serves clients including Hive, Impala, and Spark; HiveServer2 supports concurrent clients through JDBC and ODBC. Hive provides full ACID transactions for ORC tables and insert-only transactions for other formats. Documented storage options include S3, Azure Data Lake, and Google Cloud Storage, and Hive supports Apache Iceberg tables through a StorageHandler. Named integrations include Spark, Presto, and Impala, with Apache Ranger for authorization and Apache Atlas for lineage and governance. Security options described by the project include Kerberos, fine-grained access control, and audit logging; HiveServer2 also lists LDAP, PAM, and custom authentication. The quickstart includes Docker instructions for the server and Metastore. Hive is free open-source software. The installation manual lists Java 8, Maven 3.6.3, Protobuf 2.5, Hadoop 3.3.6, and Tez among current prerequisites; Hive 4.2.x instead requires JDK 21 minimum and works with Hadoop 3.4.1 and Tez 0.10.5.

Visit hive.apache.org

PrestoDB

PrestoDB is a free, open-source distributed SQL query engine for querying large data sets across different kinds of data systems. Connectors access sources through a standard API, with documented options including Hive, Iceberg, Kafka, Cassandra, MongoDB, MySQL, PostgreSQL, BigQuery, Redshift, and SQL Server. Queries run across a coordinator and worker nodes. The project provides a server tarball, command line interface, JDBC driver, and Docker container, with deployment guidance for Docker, Helm, and Homebrew. Presto documents Kerberos, LDAP, password-file, and OAuth 2.0 authentication, plus access control and secure internal communication; SSL/TLS can protect communication between cluster nodes. It is self-hosted and governed as an independent open-source project under the Linux Foundation. The documentation cautions that SQL familiarity does not mean Presto includes the features of a standard database. The project directs users to its Slack community to connect with engineers and other users. The listed current release is version 0.299, dated August 31, 2026.

Visit prestodb.io