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Based on our record, BuntDB should be more popular than Tile38. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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
Https://github.com/tidwall/buntdb -> I think this one you might want. Source: over 1 year ago
Buntdb - Fast, embeddable, in-memory key/value database for Go with custom indexing and spatial support. Source: almost 2 years ago
BuntDB [0] from @tidwall uses this package as a backing data structure. And BuntDB is in turn used by Tile38 [1] [0] https://github.com/tidwall/buntdb. - Source: Hacker News / almost 3 years ago
VoltDB - In-memory relational DBMS capable of supporting millions of database operations per second
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Beringei - High performance, in-memory storage engine for time series data (by Facebook)
Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.
LokiJS - In-memory JavaScript Datastore with Persistence
OpenTSDB - OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase.