RethinkDB vs TrailDB: What are the differences?
What is RethinkDB? JSON. Scales to multiple machines with very little effort. Open source. RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.
What is TrailDB? An efficient tool for storing and querying series of events, by AdRoll. TrailDB's secret sauce is data compression. It leverages predictability of time-based data to compress your data to a fraction of its original size. In contrast to traditional compression, you can query the encoded data directly, decompressing only the parts you need.
RethinkDB and TrailDB belong to "Databases" category of the tech stack.
RethinkDB and TrailDB are both open source tools. RethinkDB with 22.4K GitHub stars and 1.74K forks on GitHub appears to be more popular than TrailDB with 962 GitHub stars and 64 GitHub forks.
What is RethinkDB?
What is TrailDB?
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Why do developers choose TrailDB?
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What are the cons of using RethinkDB?
What are the cons of using TrailDB?
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What tools integrate with TrailDB?
We initially chose RethinkDB because of the schema-less document store features, and better durability resilience/story than MongoDB In the end, it didn't work out quite as we expected: there's plenty of scalability issues, it's near impossible to run analytical workloads and small community makes working with Rethink a challenge. We're in process of migrating all our workloads to PostgreSQL and hopefully, we will be able to decommission our RethinkDB deployment soon.
High-speed update-aware storage used in our region server infrastructure; provides a good middle layer for storage of rapidly modified information.
Main database, using it in multiple datacenters in an active-active configuration.