Couchbase vs CrateIO vs TokuMX

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Couchbase

468
600
+ 1
110
CrateIO

19
39
+ 1
7
TokuMX

6
16
+ 1
3
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Pros of Couchbase
Pros of CrateIO
Pros of TokuMX
  • 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
  • 3
    Simplicity
  • 2
    Scale
  • 2
    Open source
  • 3
    When your two-week MongoDB love affair ends, try this

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Cons of Couchbase
Cons of CrateIO
Cons of TokuMX
  • 3
    Terrible query language
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      - No public GitHub repository available -

      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 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 TokuMX?

      TokuMX is a drop-in replacement for MongoDB, and offers 20X performance improvements, 90% reduction in database size, and support for ACID transactions with MVCC. TokuMX has the same binaries, supports the same drivers, data model, and features of MongoDB, because it shares much of its code with MongoDB.

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      What companies use Couchbase?
      What companies use CrateIO?
      What companies use TokuMX?
        No companies found

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        What tools integrate with Couchbase?
        What tools integrate with CrateIO?
        What tools integrate with TokuMX?

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        What are some alternatives to Couchbase, CrateIO, and TokuMX?
        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