sqldef is really cool for supporting many database dialects. I'm the author of Skeema [1] which includes a lot of functionality that sqldef lacks, but at the cost of being 100% MySQL/MariaDB-specific. Some other DB-specific options in this space include Stripe's pg-schema-diff [2], results [3], stb-tester's migrator for sqlite [4], among many others over the years.
The more comprehensive solutions from ByteBase, Atlas, Liquibase, etc tend to support multiple databases and multiple paradigms.
And then over in Typescript ORM world, the migrators in Prisma and Drizzle support a "db push" declarative concept. (fwiw, I originated that paradigm; Prisma directly copied several aspects of `skeema push`, and then Drizzle copied Prisma. But ironically, if I ever complete my early-stage next-gen tool, it uses a different deployment paradigm.)
[1] https://github.com/skeema/skeema/
[2] https://github.com/stripe/pg-schema-diff
[3] https://github.com/djrobstep/results
[4] https://david.rothlis.net/declarative-schema-migration-for-s...
1. DB is source of truth, generate TS from DB 2. TS to DB direct sync, no migration files 3. TS source, Drizzle generates and applies SQL 4. TS source, Drizzle generates SQL, runtime application 5. TS source, Drizzle generates SQL, manual application 6. TS source, Drizzle outputs SQL, Atlas application
Personally I've called it a mistake, since there's no way a tool can infer what happened based on that information.
That might sound like a major caveat, but many companies either ban renames or have a special "out-of-band" process for them anyway, once a table is being used in production. This is necessary because renames have substantial deploy-order complexity, i.e. you cannot make the schema change at the same exact instant as the corresponding application change, and the vast majority of ORMs don't provide anything to make this sane.
In any case, many thousands of companies use declarative schema management. Some of the largest companies on earth use it. It is known to work, and when engineered properly, it definitely improves development velocity.
Small things where you don’t have DBA or whatever, sure use tooling like you would for auto-changes in a local development.
Renames aren't compatible with that automation flow though, which is what I meant by "out-of-band". They rely on careful orchestration alongside code change deploys, which gets especially nasty when you have thousands of application servers and thousands of database shards. In some DBMS, companies automate them using a careful dance of view-swapping, but that seems brittle performance-wise / operationally.
[1] In theory a custom ORM could have some kind of dynamic conditional logic for table or column renames, i.e. some way to configure it to retry a query with the "new" name if the query using the "old" name fails. But that has a huge perf impact, and I'm not aware of any common ORMs that do this. So generally if you want to rename a table or column that is already used in prod, there's no way to do it without causing user-facing errors or having system downtime during the period between the SQL rename DDL and the application code change redeploy.
Seems like the top contenders, at least for Postgres, are:
sqldef: https://news.ycombinator.com/item?id=46845239
pgschema: https://github.com/pgschema/pgschema
pg_roll: https://github.com/xataio/pgroll
atlas: https://github.com/ariga/atlas
grate (minimal SQL-based migrations): https://grate-devs.github.io/grate/
pg-schema-diff: https://github.com/stripe/pg-schema-diff
results: https://github.com/djrobstep/results
https://david.rothlis.net/declarative-schema-migration-for-s...
Grate is also imperative, not declarative.
That last link (david.rothlis.net) is about a declarative tool for sqlite, not Postgres.