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A scalable time series database based on Cassandra and Elasticsearch, by Spotify
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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.
Heroic is a tool in the Databases category of a tech stack.
Heroic is an open source tool with 841 GitHub stars and 107 GitHub forks. Here’s a link to Heroic's open source repository on GitHub

Who uses Heroic?

4 developers on StackShare have stated that they use Heroic.

Heroic Integrations

Heroic's Features

  • 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.
  • heroic-shell contains com.spotify.heroic.HeroicShell, a shell capable of either running a standalone, or connecting to an existing Heroic instance for administration.

Heroic Alternatives & Comparisons

What are some alternatives to Heroic?
It allows you to browse through cheatsheets (that you may write yourself or download from maintainers) and execute commands, prompting for argument values.
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.
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 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 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

Heroic's Followers
21 developers follow Heroic to keep up with related blogs and decisions.