Apache Impala vs PrestoDB
Apache Impala
impala.apache.orgPrestoDB
prestodb.ioSide by side
| Figure | Apache Impala | PrestoDB |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · Query Engine Software | 8.2 (#8) | 8.4 (#6) |
| Spec score · OLAP Databases | 8.2 (#9) | 8.4 (#7) |
| Spec score · Analytics Databases | 8.2 (#10) | 8.5 (#7) |
| Spec score · Big Data Analytics Software | 8.1 (#11) | 8.4 (#10) |
| Security | Impala integrates Kerberos authentication with Apache Ranger fine-grained authorization and provides auditing capabilities. | Presto documents Kerberos, LDAP, password-file and OAuth 2.0 authentication, along with access control and secure internal communication. |
Plans
In their own words
Apache Impala
Apache Impala is a free, open-source native analytic database for SQL queries on open data and table formats. It targets low-latency, high-concurrency business intelligence and analytics in Hadoop environments and is described as scaling linearly, including for multitenant use. Impala works with HDFS, HBase and Amazon S3, plus Apache Kudu, Apache Iceberg and other listed sources. Supported formats include delimited text, Parquet, Avro, SequenceFile and RCFile, with Snappy, GZIP, Deflate and BZIP codecs. Clients can connect through impala-shell, Hue, JDBC or ODBC. The system reuses Hadoop file formats, metadata, security and resource-management frameworks, and shares metadata and an ODBC driver with Apache Hive. Kudu tables support queries and efficient updates or deletes; Iceberg tables can be registered with the Hive Metastore. Kerberos, Apache Ranger authorization, auditing and encrypted JDBC or ODBC connections are supported. Impala runs on Linux and macOS, supports API use and self-hosted deployment, and is licensed under Apache License 2.0.
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.