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

Galera Cluster vs TiDB

OverviewComparisonAlternatives

Overview

Galera Cluster
Galera Cluster
Stacks54
Followers102
Votes0
TiDB
TiDB
Stacks76
Followers177
Votes28
GitHub Stars39.3K
Forks6.0K

Galera Cluster vs TiDB: What are the differences?

Introduction:

1. Key Difference - Scalability: Galera Cluster is a synchronous multi-master replication plugin for MariaDB and MySQL, providing high availability and synchronous replication. It scales well for write-heavy workloads but may face challenges with very large data sets. In contrast, TiDB is a distributed NewSQL database that horizontally scales out for both read and write operations. TiDB utilizes a distributed architecture with a transactional and analytical processing layer, providing better scalability for large data sets and high workload demands.

2. Key Difference - Consistency Model: In Galera Cluster, the default consistency model is strong consistency, ensuring that all nodes see the same set of transactions in the same order. This ensures data integrity but can lead to performance issues in high-latency networks. On the other hand, TiDB employs a consistency model known as linearizability, providing strong consistency guarantees while maintaining high availability and scalability. This allows TiDB to deliver consistent reads and writes across the distributed database without sacrificing performance.

3. Key Difference - Storage Engine: Galera Cluster supports multiple storage engines including InnoDB and MyISAM, allowing users to choose based on their specific requirements. In comparison, TiDB uses its own purpose-built storage engine known as TiKV, which is a distributed key-value store designed for high performance and scalability. TiKV leverages the Raft consensus algorithm to ensure fault tolerance and data consistency across the distributed database.

4. Key Difference - SQL Compatibility: Galera Cluster is fully compatible with MariaDB and MySQL, offering seamless migration options for users already familiar with these databases. TiDB, on the other hand, is compatible with the MySQL protocol, allowing existing MySQL applications to connect and interact with TiDB without any modifications. This enables users to leverage TiDB's distributed capabilities without the need for extensive code changes or rewrites.

5. Key Difference - Auto-Sharding: TiDB natively supports auto-sharding, dynamically partitioning data across multiple nodes to distribute the workload evenly and optimize performance. This automatic sharding simplifies database management and enhances scalability without the need for manual intervention. In contrast, Galera Cluster requires manual partitioning and configuration of nodes for load balancing, which can be complex and time-consuming, especially in large-scale deployments.

In Summary, Galera Cluster and TiDB differ in terms of scalability, consistency model, storage engine, SQL compatibility, and auto-sharding capabilities, making each suitable for different use cases based on specific requirements and workloads.

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Detailed Comparison

Galera Cluster
Galera Cluster
TiDB
TiDB

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.

Inspired by the design of Google F1, TiDB supports the best features of both traditional RDBMS and NoSQL.

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.
Horizontal scalability;Asynchronous schema changes;Consistent distributed transactions;Compatible with MySQL protocol;Written in Go;NewSQL over TiKV;Multiple storage engine support
Statistics
GitHub Stars
-
GitHub Stars
39.3K
GitHub Forks
-
GitHub Forks
6.0K
Stacks
54
Stacks
76
Followers
102
Followers
177
Votes
0
Votes
28
Pros & Cons
No community feedback yet
Pros
  • 9
    Open source
  • 7
    Horizontal scalability
  • 5
    Strong ACID
  • 3
    HTAP
  • 2
    Enterprise Support
Integrations
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Oracle
Oracle
MySQL
MySQL
SQLFlow
SQLFlow
MariaDB
MariaDB
No integrations available

What are some alternatives to Galera Cluster, TiDB?

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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