MongoDB vs TimescaleDB: What are the differences?
MongoDB: The database for giant ideas. MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding; 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.
MongoDB and TimescaleDB can be categorized as "Databases" tools.
MongoDB and TimescaleDB are both open source tools. It seems that MongoDB with 16.3K GitHub stars and 4.1K forks on GitHub has more adoption than TimescaleDB with 7.28K GitHub stars and 385 GitHub forks.
According to the StackShare community, MongoDB has a broader approval, being mentioned in 2189 company stacks & 2218 developers stacks; compared to TimescaleDB, which is listed in 15 company stacks and 3 developer stacks.
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