PostgreSQL versions and extensions supported in DBLab Engine

PostgreSQL versions

Currently, DBLab Engine fully supports the following PostgreSQL major versions:

• 9.6 (released: 2016-09-29; EOL: 2021-11-11)
• 10 (released: 2017-10-05; EOL: 2022-11-10)
• 11 (released: 2018-10-18; EOL: 2023-11-09)
• 12 (released: 2019-10-03; EOL: 2024-11-14)
• 13 (released: 2020-09-24; EOL: 2025-11-13)
• 14 (released: 2021-09-31; EOL: 2026-11-12)
• 15 (released: 2022-10-13; EOL: 2027-11-11)
• 16 (released: 2023-09-14; EOL: 2028-11-09)
• 17 (released: 2024-09-26; EOL: 2029-11-08)

By default, version 16 is used: postgresai/extended-postgres:16.

The images are published in Docker Hub.

For paid customers having production systems running on AWS RDS and RDS Aurora, GCP CloudSQL, Heroku, Supabase, Timescale Cloud or using PostGIS, Postgres.AI maintains a set of special images. Contact [email protected] for details.

Extensions included by default

By default, the DBLab Engine uses the extended Postgres AI Docker images built on top of the official Docker images for PostgreSQL. It is easy to change the images – see the options named dockerImage in various sections of the DBLab Engine configuration.

All these extended images include the following extensions:

• all official "core" contrib modules
• pgvector (only for Postgres 11+)
• logerrors (only for Postgres 10+)
• bg_mon
• pg_auth_mon
• PoWA
• pg_hint_plan
• Timescale (only for Postgres 12+)
• Citus (only for Postgres 11+)
• HypoPG
• pg_cron
• pg_qualstats
• pg_repack
• pg_show_plans (only for Postgres 12+)
• pg_stat_kcache
• pg_wait_sampling
• pg_timetable
• pgextwlist
• hll
• topn (only for Postgres 10+)
• postgresql_anonymizer
• pgaudit
• set_user (only for Postgres 10+)

How to add more extensions

There are two options:

1. Adjust Dockerfile and build your own Docker image: https://gitlab.com/postgres-ai/custom-images
2. Ask the Postgres AI team for help – contact: [email protected]