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Heroic

4
21
+ 1
0
KairosDB

14
38
+ 1
5
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Heroic vs KairosDB: 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; KairosDB: Fast Time Series Database on Cassandra. KairosDB is a fast distributed scalable time series database written on top of Cassandra.

Heroic and KairosDB can be categorized as "Databases" tools.

Heroic and KairosDB are both open source tools. It seems that KairosDB with 1.46K GitHub stars and 302 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 KairosDB
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    • 1
      Time-Series data analysis
    • 1
      Easy setup
    • 1
      As fast as your cassandra/scylla cluster go
    • 1
      Easy Rest API
    • 1
      Open source

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    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 KairosDB?

    KairosDB is a fast distributed scalable time series database written on top of Cassandra.

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    What companies use Heroic?
    What companies use KairosDB?
      No companies found
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      What tools integrate with Heroic?
      What tools integrate with KairosDB?
        No integrations found
        What are some alternatives to Heroic and KairosDB?
        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