CouchDB vs CrateIO vs FoundationDB

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CouchDB

493
572
+ 1
139
CrateIO

19
39
+ 1
7
FoundationDB

33
79
+ 1
21
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Pros of CouchDB
Pros of CrateIO
Pros of FoundationDB
  • 43
    JSON
  • 30
    Open source
  • 18
    Highly available
  • 12
    Partition tolerant
  • 11
    Eventual consistency
  • 7
    Sync
  • 5
    REST API
  • 4
    Attachments mechanism to docs
  • 4
    Multi master replication
  • 3
    Changes feed
  • 1
    REST interface
  • 1
    js- and erlang-views
  • 3
    Simplicity
  • 2
    Scale
  • 2
    Open source
  • 6
    ACID transactions
  • 5
    Linear scalability
  • 3
    Multi-model database
  • 3
    Key-Value Store
  • 3
    Great Foundation
  • 1
    SQL Layer

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What is CouchDB?

Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.

What is CrateIO?

Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.

What is FoundationDB?

FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.

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What companies use CouchDB?
What companies use CrateIO?
What companies use FoundationDB?
    No companies found

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    What tools integrate with CouchDB?
    What tools integrate with CrateIO?
    What tools integrate with FoundationDB?
      No integrations found

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      What are some alternatives to CouchDB, CrateIO, and FoundationDB?
      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.
      Couchbase
      Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
      Cloudant
      Cloudant’s distributed database as a service (DBaaS) allows developers of fast-growing web and mobile apps to focus on building and improving their products, instead of worrying about scaling and managing databases on their own.
      MariaDB
      Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
      RethinkDB
      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.
      See all alternatives