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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Galera Cluster vs OpenTSDB

Galera Cluster vs OpenTSDB

OverviewComparisonAlternatives

Overview

Galera Cluster
Galera Cluster
Stacks54
Followers102
Votes0
OpenTSDB
OpenTSDB
Stacks32
Followers75
Votes0
GitHub Stars5.1K
Forks1.2K

Galera Cluster vs OpenTSDB: What are the differences?

Developers describe Galera Cluster as "A Multi-Master Cluster based on synchronous replication for MySQL". It’s an easy-to-use, high-availability solution, which provides high system up-time, no data loss and scalability for future growth. You can Keep it up and running 24/7. Putting our expertise to use will help you avoid trial and error. On the other hand, OpenTSDB is detailed as "A scalable time series database". It is a distributed, scalable time series database to store, index & serve metrics collected from computer systems at a large scale. It can store and serve massive amounts of time series data without losing granularity.

Galera Cluster and OpenTSDB can be primarily classified as "Databases" tools.

Galera Cluster and OpenTSDB are both open source tools. OpenTSDB with 3.81K GitHub stars and 1.11K forks on GitHub appears to be more popular than Galera Cluster with 279 GitHub stars and 118 GitHub forks.

Broker Genius, Rolosync, and Stockopedia are some of the popular companies that use Galera Cluster, whereas OpenTSDB is used by Cloudinsight, SAYMON, and Server Density. Galera Cluster has a broader approval, being mentioned in 14 company stacks & 5 developers stacks; compared to OpenTSDB, which is listed in 4 company stacks and 6 developer stacks.

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Detailed Comparison

Galera Cluster
Galera Cluster
OpenTSDB
OpenTSDB

It’s an easy-to-use, high-availability solution, which provides high system up-time, no data loss and scalability for future growth. You can Keep it up and running 24/7. Putting our expertise to use will help you avoid trial and error.

It is a distributed, scalable time series database to store, index & serve metrics collected from computer systems at a large scale. It can store and serve massive amounts of time series data without losing granularity.

True Multi-master Read and write to any node at any time; Synchronous Replication No slave lag, no data is lost at node crash; Tightly Coupled All nodes hold the same state; Multi-threaded Slave For better performance.
Store and serve massive amounts of time series data; Scalable
Statistics
GitHub Stars
-
GitHub Stars
5.1K
GitHub Forks
-
GitHub Forks
1.2K
Stacks
54
Stacks
32
Followers
102
Followers
75
Votes
0
Votes
0
Integrations
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Oracle
Oracle
MySQL
MySQL
SQLFlow
SQLFlow
MariaDB
MariaDB
Grafana
Grafana
HBase
HBase

What are some alternatives to Galera Cluster, OpenTSDB?

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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