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Datomic

61
74
+ 1
0
RethinkDB

297
405
+ 1
307
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Datomic vs RethinkDB: What are the differences?

Developers describe Datomic as "The fully transactional, cloud-ready, distributed database". Build flexible, distributed systems that can leverage the entire history of your critical data, not just the most current state. Build them on your existing infrastructure or jump straight to the cloud. On the other hand, RethinkDB is detailed as "JSON. Scales to multiple machines with very little effort. Open source". 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.

Datomic and RethinkDB can be categorized as "Databases" tools.

RethinkDB is an open source tool with 22.4K GitHub stars and 1.74K GitHub forks. Here's a link to RethinkDB's open source repository on GitHub.

miDrive, Rove.me, and Lastbackend are some of the popular companies that use RethinkDB, whereas Datomic is used by Rareburg, Exicon, and Yieldbot. RethinkDB has a broader approval, being mentioned in 37 company stacks & 25 developers stacks; compared to Datomic, which is listed in 7 company stacks and 5 developer stacks.

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Pros of Datomic
Pros of RethinkDB
    Be the first to leave a pro
    • 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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    - No public GitHub repository available -

    What is Datomic?

    Build flexible, distributed systems that can leverage the entire history of your critical data, not just the most current state. Build them on your existing infrastructure or jump straight to the cloud.

    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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Datomic?
    What companies use RethinkDB?
    See which teams inside your own company are using Datomic or RethinkDB.
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    What tools integrate with Datomic?
    What tools integrate with RethinkDB?
      No integrations found

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      What are some alternatives to Datomic 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.
      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.
      Kafka
      Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
      Neo4j
      Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
      GraphQL
      GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
      See all alternatives