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Atlas-DB

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BedquiltDB

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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.

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What is Atlas-DB?

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.

What is BedquiltDB?

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.

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What companies use BedquiltDB?
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    What tools integrate with Atlas-DB?
    What tools integrate with BedquiltDB?
      No integrations found
      What are some alternatives to Atlas-DB and BedquiltDB?
      MongoDB Atlas
      MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud.
      Azure Cosmos DB
      Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.
      MongoDB
      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.
      MySQL
      The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      See all alternatives