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Based on our record, CQEngine 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
Wrote the code to convert CQEngineCQEngine queries into Solr search queries. Source: 10 months ago
It seems that you're looking for something like https://github.com/npgall/cqengine but unfortunately I'm not aware of any equivalent in Go. LINQ is similar. I'd probably try searching for "LINQ in go" or something like that. Source: almost 2 years ago
I wonder if there's a huge difference in efficiency between RoaringBitmap and CQEngine. I used CQEngine a few years back and it turned out really great. Never tried RoaringBitmap, though. Source: about 2 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.
Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.
Apache Ignite - high-performance, integrated and distributed in-memory platform for computing and transacting on...
Beringei - High performance, in-memory storage engine for time series data (by Facebook)
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.