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The most popular blog posts about databases & data on Hacker News. 299 posts.
NATS is a popular streaming system. Producers publish messages to streams , and consumers subscribe to those streams, fetching messages from them. Regular NATS streams are allowed to drop messages. However, NATS has a subsystem called JetStream , which uses the Raft consensus algorithm to replicate data among nodes…
Same Litestream goodness but better, faster, stronger
Boost PostgreSQL full-text search speed by 50x with simple optimizations. Use VectorChord-BM25 to accelerate and better BM25 ranking in postgres.
A blog mostly about Clojure programming
Supabase is explicitly making available a non-exclusive license of the OrioleDB patent to all OrioleDB users in accordance with the OrioleDB license.
Data Ownership as a conversation changes when data resides primarily with people-governed institutions rather than corporations.
Your product's core abstractions determine whether new features compound into a moat or just add to a feature list. Here's how to get it right.
I wanted a dinner recommendation and got a research agenda instead. Using 13000+ restaurants, I rebuild its ratings with machine learning and map how algorithmic visibility actually distributes power.
Databricks agrees to acquire Neon, a serverless Postgres database company, to bring speed and flexibility to production workloads.
One paper that caught my attention a bit ago was Selective attention in hypothesis-driven data analysis by Itai Yanai and Martin Lercher. In their study, students who were given specific hypotheses to test were much less likely to notice an obvious “gorilla in the data” compared to students who explored the data…
SQLite is a powerful database engine, but due to its design, it has limitations that should not be overlooked.
The Library Innovation Lab is growing knowledge and community by bringing library principles to technological frontiers.
The real limitations of pgvector in production: index choice between IVFFlat and HNSW, why real-time search is hard, pre- vs post-filtering pain, how performance degrades at scale, and when a dedicated vector database is the better call.
One of the coolest patterns in SQLite—store raw JSON documents, create virtual generated columns using json_extract, add indexes, and query JSON at full B-tree index speed.
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.
Type, see, tweak, repeat! Instant SQL is now in Preview in MotherDuck and the DuckDB Local UI. Bend reality with SQL superpowers to get real-time query results as you type. | Reading time: 8 min read
Introduction Over the last decade, when working on databases with UUID Version 41 as the primary key data type, these databases have usually had bad performance and excessive IO. https://datatracker.ietf.org/doc/html/rfc4122#section-4.4 ↩
Query your SQLite database any time, anywhere
Learn why SQLite-on-the-server fits hyper-scale systems when each tenant gets an isolated database with local reads, durable storage, and simple…
ClickHouse learned to procrastinate strategically. Discover how lazy materialization skips unnecessary column reads to accelerate queries.
Learn how Amazon built the backbone of the modern web that scales to 1 PB/s and 150M QPS on commodity hard drives
There are books & many articles online, like this one arguing for using Postgres for everything. I thought I’d take a look at one use case - using Postgres instead of Redis for caching. I work with APIs quite a bit, so I’d build a super simple HTTP server that responds with data from that cache. I’d start from Redis…
As an respectable unemployed person must do, I tried to make Postgres as slow as possible
OpenAI recently released their open-weights model. Here we'll discuss how that inevitably leaks some information about their model training stack, and, on the way, show that GPT-5 was trained on phrases from adult websites....
It may be a good language for data science, but it’s not a great one.
This month we’ve ramped up the infrastructure behind the download server, and downloads should now be available earlier and faster. There’s also a small technical change in that requests for a “…latest” file will now be answered with a HTTP redirect to the specific latest version (see previous blog post).
If search is the game, looks matter
Sep 0.10.0 was released April 22nd, 2025 with optimizations for AVX-512 capable CPUs like the AMD 9950X (Zen 5) and updated benchmarks including the 9950X. Sep now achieves a staggering 21 GB/s on the 9950X for the low-level CSV parsing. 🚀 Before 0.10.0, Sep achieved ~18 GB/s on 9950X.
