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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Heroic vs PerconaXtraDBCluster

Heroic vs PerconaXtraDBCluster

OverviewComparisonAlternatives

Overview

Heroic
Heroic
Stacks5
Followers25
Votes0
GitHub Stars846
Forks106
PerconaXtraDBCluster
PerconaXtraDBCluster
Stacks52
Followers36
Votes0
GitHub Stars368
Forks152

Heroic vs PerconaXtraDBCluster: What are the differences?

Developers describe Heroic 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. On the other hand, PerconaXtraDBCluster is detailed as "Percona XtraDB Cluster is an active/active high availability and high scalability open source solution for MySQL® clustering". Percona XtraDB Cluster is an active/active high availability and high scalability open source solution for MySQL® clustering. It integrates Percona Server and Percona XtraBackup with the Codership Galera library of MySQL high availability solutions in a single package that enables you to create a cost-effective MySQL high availability cluster.

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

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, PerconaXtraDBCluster provides the following key features:

  • ProxySQL load balancer
  • Multi-master replication
  • Synchronous replication

Heroic is an open source tool with 711 GitHub stars and 89 GitHub forks. Here's a link to Heroic's open source repository on GitHub.

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Detailed Comparison

Heroic
Heroic
PerconaXtraDBCluster
PerconaXtraDBCluster

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.

Percona XtraDB Cluster is an active/active high availability and high scalability open source solution for MySQL® clustering. It integrates Percona Server and Percona XtraBackup with the Codership Galera library of MySQL high availability solutions in a single package that enables you to create a cost-effective MySQL high availability cluster.

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.
ProxySQL load balancer; Multi-master replication; Synchronous replication; Data at rest encryption; Improved SST Security through simplified configuration; Easy to setup encrypted between-nodes communication; Increased read/write scalability; Zero Data Loss; ProxySQL-assisted Percona XtraDB Cluster maintenance mode; Automatic node provisioning; Percona XtraDB Cluster "strict-mode"; Percona Monitoring and Management compatibility;
Statistics
GitHub Stars
846
GitHub Stars
368
GitHub Forks
106
GitHub Forks
152
Stacks
5
Stacks
52
Followers
25
Followers
36
Votes
0
Votes
0

What are some alternatives to Heroic, PerconaXtraDBCluster?

MongoDB

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.

MySQL

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

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.

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

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.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

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