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OrientDB might be a bit more popular than Tile38. We know about 1 link to it since March 2021 and only 1 link to Tile38. 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
First, you need to choose a specific graph database platform to work with, such as Neo4j, OrientDB, JanusGraph, Arangodb or Amazon Neptune. Once you have selected a platform, you can then start working with graph data using the platform's query language. - Source: dev.to / about 1 year ago
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
VoltDB - In-memory relational DBMS capable of supporting millions of database operations per second
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.
Beringei - High performance, in-memory storage engine for time series data (by Facebook)