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SPECIFICTION
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PrestoDB vs Query

PrestoDB

prestodb.io

Query

query.ai

Side by side

FigurePrestoDBQuery
Price fromFree—
Free planYes—
Free trial——
Open sourceYes—
WebYesYes
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYes—
Plans published20
Spec score · Query Engine Software8.4 (#6)7.1 (#18)
SecurityPresto documents Kerberos, LDAP, password-file and OAuth 2.0 authentication, along with access control and secure internal communication.Query says its product design follows a “secure by design” principle and that it has an active bug bounty policy.
SupportThe project directs users to its Slack community to connect with Presto engineers and users.Standard support is included with subscriptions during weekday business hours, and paid Platinum support is available.

Plans

PrestoDB

  • PrestoDBFree
  • Presto open-source distributionFree

PrestoDB pricing →

Query

No plans published.

Query pricing →

In their own words

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

Query

Query is a cloud security data mesh that searches distributed security sources without copying their data into a central store. Federated search queries connected systems in parallel and normalizes results to OCSF, while Federated Search Query Language translates general queries into each source’s native language at query time. Query Workers are AI agents that triage, investigate, hunt, and detect across connected sources; analysts review recommendations or inconclusive findings. Federated Detections run SPL, KQL, or Sigma rules where the data resides. Query says it supports more than 50 sources, including Splunk, Microsoft Sentinel, CrowdStrike Falcon, Okta, Snowflake, and Google BigQuery. Static connectors map fixed schemas; dynamic connectors let customers configure custom mappings. Access is read-only, with no ingestion required and data staying at its source. The SaaS product runs on AWS data centers in us-east-1. Single sign-on supports Google, Microsoft, and Okta providers. Query states SOC 2 certification, uses NIST CSF 800-53 as a control baseline, and offers weekday standard support plus paid Platinum support.

Visit query.ai