dbzero
Zero-latency persistence: Speed of RAM with safety of a DB.
What it does
Tired of DB overhead? Meet dbzero - data persistence for Python with all the guarantees, minus the infrastructure. Built on the DISTIC model (Durable, Infinite, Shared, Transactional, Isolated, Composable), dbzero lets you persist Python objects with ACID-level safety directly in-process. Key Benefits: - Zero infra management - No SQL or ORM boilerplate - Zero round-trip latency - Full transactional integrity The safety of a database with the speed of local code.
Does a similar job
all alternatives →- DCDbzero – Code as if you have infinite RAM (Python persistence engine)Dec 2025 · github.com · ▲7
- DTDBOS transact – Ultra-lightweight durable execution in Python2024 · github.com · ▲89
Hi HN - DBOS CEO here with the co-founders of DBOS, Peter (KraftyOne) and Qian (qianli_cs). The company started as a research project of Stanford and MIT, and Peter and Qian were advised by Mike Stonebreaker, the creator of Postgres, and Matei Zaharia, the creator of Spark. They believe so strongly in reliable, serverless compute that they started a company (with Mike) to bring it to the world! Today we want to share our brand new Python library providing ultra-lightweight durable execution. https://github.com/dbos-inc/dbos-transact-py Durable execution means your program…
- IWI wrote a RDBMS (SQLite clone) from scratch in pure Python2023 · github.com · ▲371
I wrote a relational database management system (RDBMS) (sqlite clone) from scratch in pure Python.
- SHShow HN: Dzero – The fastest globally distributed SQLite database2024 · dzero.dev · ▲24
At JigsawStack.com, we are using Redis by Upstash to store and validate API keys among other datasets for speedy retrieval. As we scaled to more Asian markets and added replicated nodes, the cost started to shoot up while performance got a lot worse. I discovered hosting SQLite on Fly which was crazy fast & cheap with the full power of a relational database but difficult to use and scale without writing tons of code & devops. Then I found Turso as a managed service which is pretty cool but again got really expensive and had to manage a bunch of replications manually and pay per replications…
- MGMy Go SQLite driver did poorly on a benchmark, so I fixed it2023 · github.com · ▲234
https://github.com/ncruces/go-sqlite3 was doing poorly on this benchmark that was posted yesterday to HackerNews [1]. With the help of some pprof, I was able to trace it to a serious performance regression introduced two weeks ago, and come up with the fix (happy to field questions, if you're interested in the nitty gritty). It's not the fastest driver around, but it's no longer the slowest: comfortably middle of the pack. It's based on a WASM build of SQLite, and thanks to https://wazero.io doesn't need CGO. [1]:…
- OPOxyde – Pydantic-native async ORM with a Rust coreMar 2026 · github.com · ▲155
Hi HN! I built Oxyde because I was tired of duplicating my models. If you use FastAPI, you know the drill. You define Pydantic models for your API, then define separate ORM models for your database, then write converters between them. SQLModel tries to fix this but it's still SQLAlchemy underneath. Tortoise gives you a nice Django-style API but its own model system. Django ORM is great but welded to the framework. I wanted something simple: your Pydantic model IS your database model. One class, full validation on input and output, native type hints, zero duplication. The query API is…
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