Alternatives
Products that do what DBOS Python 1.0 – Lightweight Durable Workflows Built on Postgres does
Hi HN – this is Peter from DBOS here with Qian (qianli_cs) and Jeremy (jedberg). We’re building an open-source, lightweight durable workflows library on top of Postgres. Ever since we first launched on HN last year, we’ve been blown away by the support, feedback, and response we’ve received from the community. We've realized durable workflows are critical for everything from business processes to AI automation to data pipelines, but most existing durable orchestration tools are either too heavy or too complicated for most applications. Instead, we're building something lightweight, simple,…
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Hi HN! This is Qian here with Peter (KraftyOne) and Jeremy (jedberg). We’re building DBOS, an open-source, lightweight durable workflows library that you can add to Python apps in just a few lines of code. It’s comparable to popular open-source workflow and queue libraries like Airflow and Celery, but more lightweight with a greater focus on reliability and automatically recovering from failures. Our goal in building DBOS is to make workflows lightweight and flexible so you can add them to your existing apps with minimal work. Everything you need to run durable workflows and queues is…
2025 · github.com
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Hi HN - I’m Peter, here with Max (hmaxdml), and we’re building DBOS Go, an open-source Go library for durable workflows, backed by Postgres. https://github.com/dbos-inc/dbos-transact-golang DBOS workflows make your programs durable by automatically checkpointing their state to Postgres. If your program crashes or fails, all workflows seamlessly resume from their last completed step when your program restarts. This durability makes workflows useful for solving many different problems, including: - Operating an AI agent, or anything that connects to an unreliable or…
Sep 2025 · github.com
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Hey HN, I'm a big fan of the Postgres ecosystem and the reliability it brings to the TS stack. More often than not, the answer to "should I add another piece of infrastructure?" is "Postgres can already do that." I’ve been a long-time user of https://timgit.github.io/pg-boss, but I wanted to take the developer experience (DX) a step further for multi-step processes, especially for AI workflows. I built pg-workflows to provide a fluent API for defining durable background logic. Instead of manually stitching together disparate jobs, you can define your business logic as a clean,…
Feb 2026 · sokratisvidros.github.io
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Jun 2026 · github.com
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2014 · databaselabs.io
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2016 · bedquiltdb.github.io
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May 2026 · github.com
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Hey! I'm Andrei. I got frustrated by how people tend to build overcomplicated backend systems, being "motivated" by big tech case studies and popular books. So, I started exploring lean architecture, and building my digital garden of ideas, approaches and data that align with this direction. Here I want to present one of the tools – Sizing tool for PostgreSQL. I've benchmarked PostgreSQL on different EC2 instances and disks, with different initial data sets to see performance that these instances can give you. And I've built a tool to visualize this data, which I welcome you to explore. So,…
Jul 2026 · postgres.saneengineer.com
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Hello Everyone! We built SQLFlow as a lightweight stream processing engine. We leverage DuckDB as the stream processing engine, which gives SQLFlow the ability to process 10's of thousands of messages a second using ~250MiB of memory! DuckDB also supports a rich ecosystem of sinks and connectors! https://sql-flow.com/docs/category/tutorials/ https://github.com/turbolytics/sql-flow We were tired of running JVM's for simple stream processing, and also of bespoke one off stream processors I would love your feedback, criticisms and/or…
Dec 2025 · sql-flow.com
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2016 · github.com
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Hello HN, I've just released a new migration tool for Go that mimics the functionality of Ruby on Rails migrations. It's designed to help Go developers manage database schema changes with ease. This allows you several benefits: - Write type-safe migrations - Auto down of migrations whenever it's possible - Easy backfill even with business logic because it's Go code - Painless integration with existing schema - sql.DB compatible and driver agnostic (it uses your driver) I have a pretty complete API to manage Postgres schema and I am working on the SQLite one (a little more complicated due to…
2024 · github.com
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Hi HN, Over the past year, I’ve been building a native MacOS Postgres client for my personal use. While there are plenty of existing clients, I built this because: - No open-source Postgres client matched the smooth UX of tools like Sequel Pro/SequelAce (for MySQL). - I missed the satisfaction of long-term product ownership and iteration—recent work has me jumping between projects. - I’ve been using Postgres more lately and wanted to get hands-on to deepen my knowledge. I also wanted a playground to experiment with client features that would help me on day-to-day. Some I have…
2025 · github.com
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I am just getting ready to release TeamPostgreSQL 1.05. You can check it out here: http://www.teampostgresql.com It is a web-based admin interface for PostgreSQL, with a lot of work put into making it a user-friendly and productive way to work with the database. Hopefully this makes it ideal for when different people need to access the database, including developers, testers, support staff, managers etc. This will be the first release after several months of beta testing and user feedback. Some feature highlights: * Pretty neat web interface (GWT powered AJAX GUI) * Comprehensive database…
2010
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At work we were using python-rq for background tasks. It does the job for simple things, but we kept bumping into limitations. We needed to schedule tasks hours / days out and trust they'd survive a restart. We wanted periodic tasks with proper overlap control. So we built a scheduling / enqueuing system around Postgres to bring these durability capabilities to python-rq. This worked fine for a while but was trickier to reason about due to its more complicated architecture (we'd run two separate services just for getting jobs from Postgres into the rq Redis queue, plus N actual…
Feb 2026 · github.com
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I'd like to share a project I've been working on for the past few months. It's a distributed workflow engine written entirely in Go. Some highlights: * Tasks are executed in a Docker container * Can run stand-alone or distributed * Highly extensible * Able to enforce limits (CPU/RAM) per task * Web UI Would love the get your feedback on it, and find out if this could be useful.
2023 · github.com
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Hey HN, I'm Anurag, founder and CEO of Render, a cloud for application developers. We've just launched Render Workflows, a way to define durable tasks by decorating plain TypeScript or Python functions and running them on Render without operating queues, worker pools, retry logic, and state management. Code example below [1]. The use cases we have in mind include agent loops, ETL/data pipelines, billing flows, and other long-running jobs. The model is simple: mark an existing function as a Task, deploy the repo as a Workflow, then trigger runs from your application code or via our API.…
Apr 2026 · render.com
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Hey HN, I just spent the last few weeks building a database for agents. Over the last year I built PostHog AI, the company's business analyst agent, where we experimented on giving raw SQL access to PostHog databases vs. exposing tools/MCPs. Needless to say, SQL wins. I left PostHog 3 weeks ago to work on side-projects. I wanted to experiment more with SQL+agents. I built an MVP exposing business data through DuckDB + annotated schemas, and ran a benchmark with 11 LLMs (from Kimi 2.5 to Claude Opus 4.6) answering business questions with either 1) per-source MCP access (e.g. one Stripe…
Apr 2026 · github.com
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Hello community. Some time ago I was trying to create a project for my students using Hacker News data. As you might know, HN offers an official API [0], but it's based on Firebase and I felt it's main usage is to build clients, rather than consult data. I found out that Algolia also provides an official REST API [1]. It's exactly what I needed: the ability to "search" HN. Either by keywords, type of stories (Show HN, Ask HN, etc) and/or date. So I created a thin python wrapper on top of Algolia's Search API: https://github.com/santiagobasulto/python-hacker-news The…
2019
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Hi HN, I’m Samrith, creator of Hyperterse. Today I’m launching Hyperterse 2.0, a schema-first framework for building MCP servers directly on top of your existing production databases. If you're building AI agents in production, you’ve probably run into agents needing access to structured, reliable data but wiring your business logic to MCP tools is tedious. Most teams end up writing fragile glue code. Or worse, giving agents unsafe, overbroad access. There isn’t a clean, principled way to expose just the right data surface to agents. Hyperterse lets you define a schema over your data and…
Feb 2026 · hyperterse.com
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