DalmatinerDB vs Heroic

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DalmatinerDB
DalmatinerDB

5
5
+ 1
1
Heroic
Heroic

4
12
+ 1
0
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DalmatinerDB vs Heroic: What are the differences?

Developers describe DalmatinerDB as "A fast, distributed metric store". DalmatinerDB is a no fluff purpose built metric database. Not a layer put on top of a general purpose database or datastore. On the other hand, Heroic is detailed as "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.

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

DalmatinerDB and Heroic are both open source tools. Heroic with 710 GitHub stars and 89 forks on GitHub appears to be more popular than DalmatinerDB with 696 GitHub stars and 45 GitHub forks.

What is DalmatinerDB?

DalmatinerDB is a no fluff purpose built metric database. Not a layer put on top of a general purpose database or datastore.

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.
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            What are some alternatives to DalmatinerDB and Heroic?
            InfluxDB
            InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
            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.
            Microsoft SQL Server
            Microsoft¬ģ SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
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