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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Galera Cluster vs H2 Database

Galera Cluster vs H2 Database

OverviewComparisonAlternatives

Overview

Galera Cluster
Galera Cluster
Stacks54
Followers102
Votes0
H2 Database
H2 Database
Stacks1.3K
Followers121
Votes0

Galera Cluster vs H2 Database: What are the differences?

## Introduction
This Markdown code provides a comparison between Galera Cluster and H2 Database, highlighting key differences between the two.

1. **Scalability**: Galera Cluster is a synchronous multi-master database cluster solution, allowing for read and write operations across all nodes in real-time, providing high availability and horizontal scalability. In contrast, H2 Database is a lightweight, embedded database engine primarily suited for small to medium-sized applications, lacking the distributed capabilities of Galera Cluster.
   
2. **Consistency Model**: Galera Cluster uses the Certification Based Replication protocol to ensure strong consistency across all nodes, guaranteeing that transactions are committed in the same order on all nodes. On the other hand, H2 Database follows a traditional ACID (Atomicity, Consistency, Isolation, Durability) consistency model, providing strong consistency within a single instance but lacking the distributed consensus mechanism of Galera Cluster for multi-node deployments.
   
3. **Performance**: Galera Cluster is optimized for high-performance, supporting synchronous replication for real-time data access and failover capabilities. In contrast, H2 Database excels in low-latency, single-instance scenarios where high availability and distributed scalability are not primary concerns, making it ideal for lightweight applications with limited resources.
   
4. **Deployment Complexity**: Galera Cluster requires careful configuration and management to ensure proper setup of multi-node clusters, including considerations for network latency, quorum requirements, and data synchronization across all nodes. H2 Database, being a standalone embedded engine, offers simplicity in deployment with minimal setup requirements, making it suitable for rapid prototyping and small-scale projects.
   
5. **Community Support**: Galera Cluster is supported by a dedicated community of developers and contributors, providing regular updates, bug fixes, and new features to enhance the functionality and reliability of the cluster solution. In comparison, H2 Database has a smaller community base, resulting in less frequent updates and limited support resources for resolving issues or implementing advanced configurations.
   
6. **Storage Engine Compatibility**: Galera Cluster supports the use of various storage engines, such as InnoDB, TokuDB, and MyRocks, for data storage and management within the cluster environment. Conversely, H2 Database uses its embedded storage engine by default, limiting the flexibility in choosing alternative storage solutions based on specific performance or scalability requirements.

In Summary, Galera Cluster offers distributed multi-master capabilities with strong consistency, scalability, and performance optimizations, whereas H2 Database is more suitable for lightweight, single-instance deployments with simplicity in setup and low-latency operations.

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Detailed Comparison

Galera Cluster
Galera Cluster
H2 Database
H2 Database

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 relational database management system written in Java. It can be embedded in Java applications or run in client-server mode.

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.
-
Statistics
Stacks
54
Stacks
1.3K
Followers
102
Followers
121
Votes
0
Votes
0
Integrations
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Oracle
Oracle
MySQL
MySQL
SQLFlow
SQLFlow
MariaDB
MariaDB
No integrations available

What are some alternatives to Galera Cluster, H2 Database?

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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