TimescaleDB vs TrailDB: What are the differences?
TimescaleDB: Scalable time-series database optimized for fast ingest and complex queries. Purpose-built as a PostgreSQL extension. TimescaleDB is the only open-source time-series database that natively supports full-SQL at scale, combining the power, reliability, and ease-of-use of a relational database with the scalability typically seen in NoSQL databases; 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.
TimescaleDB and TrailDB belong to "Databases" category of the tech stack.
TimescaleDB and TrailDB are both open source tools. It seems that TimescaleDB with 7.28K GitHub stars and 385 forks on GitHub has more adoption than TrailDB with 962 GitHub stars and 64 GitHub forks.
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What is TimescaleDB?
What is TrailDB?
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