OpenTSDB vs RethinkDB: What are the differences?
Developers describe OpenTSDB as "A scalable time series database". It is a distributed, scalable time series database to store, index & serve metrics collected from computer systems at a large scale. It can store and serve massive amounts of time series data without losing granularity. On the other hand, RethinkDB is detailed as "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.
OpenTSDB and RethinkDB belong to "Databases" category of the tech stack.
OpenTSDB and RethinkDB are both open source tools. RethinkDB with 22.5K GitHub stars and 1.75K forks on GitHub appears to be more popular than OpenTSDB with 3.81K GitHub stars and 1.11K GitHub forks.
miDrive, Runbook, and Rove.me are some of the popular companies that use RethinkDB, whereas OpenTSDB is used by Cloudinsight, SAYMON, and Server Density. RethinkDB has a broader approval, being mentioned in 53 company stacks & 166 developers stacks; compared to OpenTSDB, which is listed in 4 company stacks and 6 developer stacks.
What is OpenTSDB?
What is RethinkDB?
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Why do developers choose OpenTSDB?
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What are the cons of using OpenTSDB?
What are the cons of using RethinkDB?
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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.