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Heroic

6
23
+ 1
0
RethinkDB

298
405
+ 1
307
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Heroic vs RethinkDB: What are the differences?

Heroic: A scalable time series database based on Cassandra and Elasticsearch, by Spotify. Heroic is Spotify's in-house time series database. It was built to address the challenges Spotify was facing with near real-time data collection and presentation at scale; RethinkDB: 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.

Heroic and RethinkDB belong to "Databases" category of the tech stack.

Some of the features offered by Heroic are:

  • heroic-core contains the com.spotify.heroic.HeroicCore class which is the central building block for setting up a Heroic instance.
  • heroic-elasticsearch-utils is a collection of utilities for interacting with Elasticsearch. This is separate since we have more than one backend that needs to talk with elasticsearch.
  • heroic-parser provides an Antlr4 implementation of com.spotify.heroic.grammar.QueryParser, which is used to parse the Heroic DSL.

On the other hand, RethinkDB provides the following key features:

  • JSON data model and immediate consistency.
  • Distributed joins, subqueries, aggregation, atomic updates.
  • Secondary, compound, and arbitrarily computed indexes.

Heroic and RethinkDB are both open source tools. It seems that RethinkDB with 22.4K GitHub stars and 1.74K forks on GitHub has more adoption than Heroic with 710 GitHub stars and 89 GitHub forks.

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Pros of Heroic
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

    Sign up to add or upvote prosMake informed product decisions

    What is Heroic?

    Heroic is Spotify's in-house time series database. It was built to address the challenges Spotify was facing with near real-time data collection and presentation at scale.

    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!

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    What companies use RethinkDB?
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    What tools integrate with RethinkDB?

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    What are some alternatives to Heroic and RethinkDB?
    navi
    It allows you to browse through cheatsheets (that you may write yourself or download from maintainers) and execute commands, prompting for argument values.
    Just
    It is a build task definition library. It stands on the shoulders of two excellent and well tested libraries: undertaker and yargs. It also provides what we call "stacks" to complete the workflow of building a repository.
    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.
    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.
    See all alternatives