Couchbase vs Kyoto Tycoon vs RethinkDB

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Couchbase

468
600
+ 1
110
Kyoto Tycoon

5
17
+ 1
5
RethinkDB

297
405
+ 1
307
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Pros of Couchbase
Pros of Kyoto Tycoon
Pros of RethinkDB
  • 18
    High performance
  • 18
    Flexible data model, easy scalability, extremely fast
  • 9
    Mobile app support
  • 7
    You can query it with Ansi-92 SQL
  • 6
    All nodes can be read/write
  • 5
    Equal nodes in cluster, allowing fast, flexible changes
  • 5
    Both a key-value store and document (JSON) db
  • 5
    Open source, community and enterprise editions
  • 4
    Automatic configuration of sharding
  • 4
    Local cache capability
  • 3
    Easy setup
  • 3
    Linearly scalable, useful to large number of tps
  • 3
    Easy cluster administration
  • 3
    Cross data center replication
  • 3
    SDKs in popular programming languages
  • 3
    Elasticsearch connector
  • 3
    Web based management, query and monitoring panel
  • 2
    Map reduce views
  • 2
    DBaaS available
  • 2
    NoSQL
  • 1
    Buckets, Scopes, Collections & Documents
  • 1
    FTS + SQL together
  • 2
    RESTful API
  • 2
    Simple, persistent Key-Value Store
  • 1
    Easy setup
  • 48
    Powerful query language
  • 46
    Excellent dashboard
  • 42
    JSON
  • 41
    Distributed database
  • 38
    Open source
  • 25
    Reactive
  • 16
    Atomic updates
  • 15
    Joins
  • 9
    MVCC concurrency
  • 9
    Hadoop-style map/reduce
  • 4
    Geospatial support
  • 4
    Real-time, open-source, scalable
  • 2
    YC Company
  • 2
    A NoSQL DB with joins
  • 2
    Great Admin UI
  • 2
    Changefeeds: no polling needed to get updates
  • 2
    Fast, easily scalable, great customer support

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Cons of Couchbase
Cons of Kyoto Tycoon
Cons of RethinkDB
  • 3
    Terrible query language
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      - No public GitHub repository available -
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      What is 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.

      What is Kyoto Tycoon?

      Kyoto Tycoon is a lightweight database server with auto expiration mechanism, which is useful to handle cache data and persistent data of various applications. Kyoto Tycoon is also a package of network interface to the DBM called Kyoto Cabinet.

      What is 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.

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      What companies use Couchbase?
      What companies use Kyoto Tycoon?
      What companies use RethinkDB?

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      What tools integrate with Couchbase?
      What tools integrate with Kyoto Tycoon?
      What tools integrate with RethinkDB?

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      What are some alternatives to Couchbase, Kyoto Tycoon, and RethinkDB?
      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.
      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.
      Cassandra
      Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
      Redis
      Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
      HBase
      Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
      See all alternatives