Alternatives
Products that do what DBOps does
Database DevOps Without the DevOps Tax. No Java. No XML.
- 1
- 2
- 3
- 4
- 5BA
I recently released v3 of Base, my SQLite editor for macOS. The goal of this app is to provide a comfortable native GUI for SQLite, without it turning into a massive IDE-style app. The coolest features are - That it can handle full altering of tables, which is quite finicky to do manually with SQLite. - It has a more detailed display of column constraints than most editors. Each constraint is shown as an icon if active, with full details available on clicking the icon. This update also adds support for attaching databases, which is a bit fiddly with macOS sandboxing. I'd love to hear any…
2025 · menial.co.uk
- 6
- 7
- 8
- 9
- 10
- 11AS
Hi HN, we're Eric and Dean, creators of SchemafreeSQL. Its roots go back to an on-line Web App Development Environment we developed back in 1999. It was comprised of an IDE, Web Server, Object Store, Virtual File System, Template System, and polyglot (Java, JavaScript, and Python). Of course, we named it “.OS”. Then we ended up dropping it. But that's a story for another time. It was the ease of use of the Object Store from .OS that we really missed, which brings us back to SchemafreeSQL. It provides an enhanced API to your SQL Database which allows it to function as a Schemaless…
2022 · schemafreesql.com
- 12
- 13
- 14
- 15
- 16
- 17
- 18
- 19
- 20DJ
Hi HN - I’m Peter, here with Harry (devhawk), and we’re building DBOS Java, an open-source Java library for durable workflows, backed by Postgres. https://github.com/dbos-inc/dbos-transact-java Essentially, DBOS helps you write long-lived, reliable code that can survive failures, restarts, and crashes without losing state or duplicating work. As your workflows run, it checkpoints each step they take in a Postgres database. When a process stops (fails, restarts, or crashes), your program can recover from those checkpoints to restore its exact state and continue from where…
Nov 2025 · github.com
- 21
- 22
- 23
- 24ST
Hey Show HN! I’m Toby and over the last few months, I’ve been working with a team of engineers from Airbnb, Apple, Google, and Netflix, to simplify developing data pipelines with SQLMesh (https://github.com/TobikoData/sqlmesh). We’re tired of fragile pipelines, untested SQL queries, and expensive staging environments for data. Software engineers have reaped the benefits of DevOps through unit tests, continuous integration, and continuous deployment for years. We felt like it was time for data teams to have the same confidence and efficiency in development as their peers.…
2023 · github.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →