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Alternatives

Products that do what SQL Change Guard does

Governance Before Execution, Confidence in Production.

  1. 1BS
  2. 2DO
  3. 3
    Jaime170

    Turn SQL into powerful dashboards

    2018

  4. 4SF
  5. 5

    Autonomous API testing platform for SQL server and Postgres

    2022

  6. 6SA
  7. 7EA
  8. 8

    Connect your data to your agents.

    Feb 2026

  9. 9

    Real-time compliance & security validation for AI coding

    Dec 2025

  10. 10
    Nazar23

    Discover your most time consuming queries.

    2017

  11. 11WF
  12. 12ZA

    Hi HN, I'm Jiasheng, co-creator of ZenStack. Access control usually ends up scattered across app code instead of living with the data model — and that's riskier when the code is written by an agent, since it's easy to ship a query with a missing or incomplete authorization check. ZenStack enforces policy (RBAC/ABAC/relation-based) directly at the ORM layer, on top of Kysely, so every query gets checked the same way regardless of who wrote it and who is calling it. Postgres RLS is an option too, but it's hard to maintain and scale, and it's Postgres-only — ZenStack's approach is…

    Jul 2026 · zenstack.framer.website

  13. 13AU
  14. 14AN
  15. 15SC
  16. 16PC
  17. 17PA
  18. 18PS

    Hello! I created this tool to make reasoning about Postgres locks a bit easier. Given a database[1] and a set of DDL statements/migrations you want to check, pglockanalyze will open a transaction, execute the statements, read the pg_locks view to analyze the locks they acquire and rollback (or commit, depending on the flags you passed) the transaction. Then, it will output the results for each statement. I think there's merit in this idea, that said it's very much an experiment so there could be flaws and/or corner cases that this strategy won't work well for. It's meant to act as…

    2025 · github.com

  19. 19AS
  20. 20PI
  21. 21TT
  22. 22TS
  23. 23DC
  24. 24OS

    I am currently working on a Node.js utility for a schema-based approach on CDC for Postgres. It is a lightweight utility that you can plug on top of your existing WAL events service (eg. Debezium, WAL-listener...) and allows you to define schemas to listen to. Instead of listening to raw individual table-level events, you can aggregate those events into high-level schema events automatically. Conceptually, it is like having WAL events but on an SQL view, any modification to a table the view is based on would trigger a high-level event on the view itself. This has many real-world applications…

    2025 · github.com

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