Atlas-DB vs BedquiltDB: What are the differences?
Atlas-DB: Backend for managing dimensional time series data, by Netflix. Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly; BedquiltDB: *A Mongo-like JSON doc store built on Postgres *. BedquiltDB is an open-source PostgreSQL extension and set of code libraries, which wraps the PostgreSQL jsonb data type in a slick programmatic API inspired by NoSQL document stores.
Atlas-DB and BedquiltDB can be primarily classified as "Database" tools.
Some of the features offered by Atlas-DB are:
- Manages dimensional time series data
- In-memory data storage
- Captures operational intelligence
On the other hand, BedquiltDB provides the following key features:
- Simple, developer-friendly programmatic API
- Easy to write clients in any programming language, as all the "smarts" are in the PostgreSQL extension
- All the power of a SQL database, including Constraints and Transactions
Atlas-DB and BedquiltDB are both open source tools. It seems that Atlas-DB with 2.4K GitHub stars and 204 forks on GitHub has more adoption than BedquiltDB with 253 GitHub stars and 9 GitHub forks.