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I actually worked on a project that did this. We used a database called "Tile38" [1] which used an R-Tree to make geospatial queries speedy. It was pretty good. Our dataset was ~150 GiB, I think? All in RAM. Took a while to start the server, as it all came off disk. Could have been faster. (It borrowed Redis's query language, and its storage was just "store the commands the recreate the DB, literally", IIRC. Dead... - Source: Hacker News / almost 2 years ago
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
VoltDB - In-memory relational DBMS capable of supporting millions of database operations per second
Unused CSS - Easily find and remove unused CSS rules
Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.
bttn.css - Awesome buttons for awesome projects!
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.