Alternatives
Products that do what NodeDB does
Vector, Graph, Array, Columnar, KV - all in one database
- 1
We have been using graph DBs more and more at work. I found them painful to work with locally and decided to try and build something better.
12d ago · github.com
- 2HO
Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
2025 · github.com
- 3PA
2024 · github.com
- 4VD
Hey HN! We are Jonathan & Guy, and we are happy to share a project we’ve been working on. ChartDB is a tool to help developers and data analysts quickly visualize database schemas by generating ER diagrams with just one query. A unique feature of our product is AI-Powered export for easy migration. You can give it a try at https://chartdb.io and find the source code on GitHub. Next steps ---> More AI. We’d love feedback :)
2024 · github.com
- 5
- 6IA
Hey there HN! We’re Joe and Stopa, and today we’re open sourcing InstantDB, a client-side database that makes it easy to build real-time and collaborative apps like Notion and Figma. Building modern apps these days involves a lot of schleps. For a basic CRUD app you need to spin up servers, wire up endpoints, integrate auth, add permissions, and then marshal data from the backend to the frontend and back again. If you want to deliver a buttery smooth user experience, you’ll need to add optimistic updates and rollbacks. We do these steps over and over for every feature we build, which can…
2024 · github.com
- 7
- 8
- 9
- 10CN
Hi HN, I have been making this Cozo database since half a year ago, and now it is ready for public release. My initial motivation is that I want a graph database. Lightweight and easy to use, like SQLite. Powerful and performant, like Postgres. I found none of the existing solutions good enough. Deciding to roll my own, I need to choose a query language. I am familiar with Cypher but consider it not much of an improvement over CTE in SQL (Cypher is sometimes notationally more convenient, but not more expressive). I like Gremlin but would prefer something more declarative. Experimentations…
2022 · github.com
- 11
- 12
- 13HA
Hey HN, it’s been just over a year since we launched HelixDB (https://news.ycombinator.com/item?id=43975423), a project a friend and I started in college. It’s an OLTP graph database built on object-storage, with native vector search and full-text search (FTS). Why graph, vector and FTS? Graph databases provide a natural cognitive model for data, vectors allow for a semantic understanding of the entities and relationships in the graph, and FTS provides more specific filtering. Many AI-driven applications attempt to combine all of these functionalities by stitching together…
Jun 2026 · github.com
- 14GF
2015 · github.com
- 15NJ
Hello everyone! I'm exited to share a NodeJS package I was working on for the past two months. The package is designed to simplify querying SQL databases through an array-like API. Qustar supports PostgreSQL, SQLite, MySQL, and MariaDB, and offers TypeScript support for a robust development experience. It's in early stage of development. I would like to hear your thoughts about it.
2024 · github.com
- 16
- 17H1
hi hn, hydra ceo here hydra is an open source, column-oriented postgres. you can set up remarkably fast aggregates on your project in minutes to query billions of rows instantly. postgres is great, but aggregates can take minutes to hours to return results on large data sets. long-running analytical queries hog database resources and degrade performance. use hydra to run much faster analytics on postgres without making code changes. data is automatically loaded into columnar format and compressed. connect to hydra with your preferred postgres client (psql, dbeaver, etc). following 4 months…
2023 · hydra-so.notion.site
- 18LA
We are excited to share Lantern! Lantern is a PostgreSQL vector database extension for building AI applications. Install and use our extension here: https://github.com/lanterndata/lantern We have the most complete feature set of all the PostgreSQL vector database extensions. Our database is built on top of usearch — a state of the art implementation of HNSW, the most scalable and performant algorithm for handling vector search. There’s three key metrics we track. CREATE INDEX time, SELECT throughput, and SELECT latency. We match or outperform pgvector and pg_embedding…
2023 · docs.lantern.dev
- 19PJ
2022 · github.com
- 20
- 21
- 22
- 23
- 24OD
Hey all! I released drawDB about a month ago and now it's open source. I hope you find it useful. If you want to check out the app you can go to https://drawdb.vercel.app/ . Thank you:)
2024 · github.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →