Building a Database in the 2020s (2022)
Building a database in the 2020s
The latest blog posts to take off on Hacker News. 371 posts.
Building a database in the 2020s
Learn what database sharding is, how sharding works, and some common sharding frameworks and tools.
Using OpenStreetMap data to craft a self-hosted interactive map of hospital accessibility in Virginia.
I think simple ultra-high speed lossy (or near-lossless) image codecs, built from the new generation of fast LZ codecs, are going to become ...
Quicker, but also more convenient
There is this growing sentiment in tech that stacking more and more layers of complexity to reach the sacrosanct "infinite scalability" is not the way forward. First, because it rarely materializes: you need a lot of other things than fancy tech to reach millions of people. Second, because the tradeoffs
New BigQuery pricing editions and autoscaling let you choose the right price-performance for your workloads, and pay for only what you use.
You don't need Neo4j for graph data. Walking through nodes, edges, and recursive traversals in plain Postgres, with working SQL.
Learn how to read the output in MySQL EXPLAIN plans so you can utilize them to improve query performance.
Get a free Postgres DB with the speed + convenience of a spreadsheet. No setup required. Get started today.
Today, we’re excited to announce the technology preview of AlloyDB Omni, a downloadable edition of AlloyDB designed to run on premises, at the edge, across clouds, or even on developer laptops.
Blog for DoltHub, a website hosting databases made with Dolt, an open-source version-controlled SQL database with Git-like semantics.
Neon’s serverless driver redirects the PostgreSQL TCP wire protocol over WebSockets. This makes ordinary, fully-functional PostgreSQL connections accessible from new environments — including serverless platforms like Cloudflare Workers and Vercel Edge Functions. A key feature of these environments is that state is not…
I always thought of 1+N as a thing that you just keep in your head, catch on code reviews or via performance regressions. This worked well for a long …
Build better AI apps with flexible retrieval methods in LangChain. Use any retriever—from semantic to hybrid—to create personalized ChatGPT for your data.
Hello, my name is Maxim Babenko, I’m the head of the distributed computing technologies department at Yandex. Today we’re pleased to…
Today we're releasing pg_jsonschema, a Postgres extension for JSON validation.
In the recent past, a typical client/server environment consisted of multiple clients connected to a central database server. A central database architecture is a system where all data is stored in a single centralized location. When client A from Si...
Interactive post about the frequency of bank failures over time
Have you ever wondered what it takes to build a serverless software as a service (SaaS) offering in under a year? In this blog post, we will describe how we built ClickHouse Cloud from the ground up
Vigneshwaran C explained the internals of PostgreSQL Logical Replication during PGConf India - if you were not able to attend, you can read all here.
We’re happy to announce that Pyroscope, the company behind the open source continuous profiling project of the same name, is now part of Grafana Labs.
I’m excited to announce that the translation of the “ PostgreSQL 14 Internals ” book is finally complete thanks to the amazing work of Liudmila Mantrova. The final part of the book considers each of the index types in great detail. It explains and demonstrates how access methods, operator classes, and data types work…
Temperature is a parameter used in natural language processing models to increase or decrease the “confidence” a model has in its most likely response.
One way to measure the magnitude of a bank's failure is by the amount of assets the bank held. At the time it failed, SVB's collapse was the second largest American bank failure of all time, and the largest since 2008.