H2 Database vs MariaDB

Overview

MariaDB

Stacks16.5K

Followers12.8K

Votes468

GitHub Stars6.6K

Forks1.9K

H2 Database

Stacks1.3K

Followers121

Votes0

H2 Database vs MariaDB: What are the differences?

Introduction

In this article, we will compare the key differences between H2 Database and MariaDB. Both H2 Database and MariaDB are popular database management systems, but they have significant differences in terms of features, performance, and compatibility.

Performance: One of the major differences between H2 Database and MariaDB is their performance. H2 Database is known for its fast read and write operations, making it suitable for applications that require high-speed processing. On the other hand, MariaDB offers better performance in complex queries and large-scale databases, making it a preferred choice for enterprise-level applications.
Compatibility: Another key difference between H2 Database and MariaDB lies in their compatibility with other database systems. H2 Database is mainly designed to be a pure Java database and provides a high level of compatibility with JDBC (Java Database Connectivity). On the contrary, MariaDB is a fork of MySQL and provides compatibility with a wide range of applications built for MySQL, making it a seamless replacement for MySQL in many cases.
Features: H2 Database and MariaDB also differ in terms of the features they offer. H2 Database provides various advanced features like in-memory storage, support for multiple data types, and built-in support for database replication. MariaDB, on the other hand, offers rich features like support for different storage engines, advanced query optimization techniques, and robust data management capabilities.
Scalability: When it comes to scalability, H2 Database and MariaDB have distinct characteristics. H2 Database is well-suited for small to medium-sized applications with limited data storage requirements. It may face challenges in handling large data volumes and high concurrent connections. In contrast, MariaDB is designed to handle large-scale databases and can efficiently manage substantial amounts of data as well as a high number of concurrent connections.
Community Support: Community support is another crucial difference between H2 Database and MariaDB. H2 Database has a relatively smaller user and developer community compared to MariaDB. Consequently, the availability of third-party resources, plugins, and community-driven support for H2 Database may be limited. MariaDB, being derived from MySQL, benefits from a large and active community, offering extensive support, resources, and plugins developed by the community.
Licensing: Finally, the licensing model is a significant point of difference between H2 Database and MariaDB. H2 Database is an open-source database released under the modified Apache License, which allows it to be used for both open-source and commercial applications. MariaDB follows a similar open-source licensing model but also offers commercial support and enterprise editions with additional features for enterprise customers.

In summary, H2 Database focuses on fast read and write operations, provides high compatibility with JDBC, and is suitable for small to medium-sized applications. MariaDB, on the other hand, excels in complex queries, scalability, community support, compatibility with MySQL, and robust feature set making it ideal for enterprise-level applications and large-scale databases.

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Advice on MariaDB, H2 Database

Omran

CTO & Co-founder at Bonton Connect

Jun 19, 2020

Needs advice

We actually use both Mongo and SQL databases in production. Mongo excels in both speed and developer friendliness when it comes to geospatial data and queries on the geospatial data, but we also like ACID compliance hence most of our other data (except on-site logs) are stored in a SQL Database (MariaDB for now)

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Detailed Comparison

MariaDB	H2 Database
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.	It is a relational database management system written in Java. It can be embedded in Java applications or run in client-server mode.
Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile	-
Statistics
GitHub Stars 6.6K	GitHub Stars -
GitHub Forks 1.9K	GitHub Forks -
Stacks 16.5K	Stacks 1.3K
Followers 12.8K	Followers 121
Votes 468	Votes 0
Pros & Cons
Pros 149 Drop-in mysql replacement 100 Great performance 74 Open source 55 Free 44 Easy setup	No community feedback yet

What are some alternatives to MariaDB, H2 Database?

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

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.

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 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

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 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.

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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.

Related Comparisons

H2 Database vs MariaDB: What are the differences?

Introduction

Performance: One of the major differences between H2 Database and MariaDB is their performance. H2 Database is known for its fast read and write operations, making it suitable for applications that require high-speed processing. On the other hand, MariaDB offers better performance in complex queries and large-scale databases, making it a preferred choice for enterprise-level applications.
Compatibility: Another key difference between H2 Database and MariaDB lies in their compatibility with other database systems. H2 Database is mainly designed to be a pure Java database and provides a high level of compatibility with JDBC (Java Database Connectivity). On the contrary, MariaDB is a fork of MySQL and provides compatibility with a wide range of applications built for MySQL, making it a seamless replacement for MySQL in many cases.
Features: H2 Database and MariaDB also differ in terms of the features they offer. H2 Database provides various advanced features like in-memory storage, support for multiple data types, and built-in support for database replication. MariaDB, on the other hand, offers rich features like support for different storage engines, advanced query optimization techniques, and robust data management capabilities.
Scalability: When it comes to scalability, H2 Database and MariaDB have distinct characteristics. H2 Database is well-suited for small to medium-sized applications with limited data storage requirements. It may face challenges in handling large data volumes and high concurrent connections. In contrast, MariaDB is designed to handle large-scale databases and can efficiently manage substantial amounts of data as well as a high number of concurrent connections.
Community Support: Community support is another crucial difference between H2 Database and MariaDB. H2 Database has a relatively smaller user and developer community compared to MariaDB. Consequently, the availability of third-party resources, plugins, and community-driven support for H2 Database may be limited. MariaDB, being derived from MySQL, benefits from a large and active community, offering extensive support, resources, and plugins developed by the community.
Licensing: Finally, the licensing model is a significant point of difference between H2 Database and MariaDB. H2 Database is an open-source database released under the modified Apache License, which allows it to be used for both open-source and commercial applications. MariaDB follows a similar open-source licensing model but also offers commercial support and enterprise editions with additional features for enterprise customers.

H2 Database vs MariaDB

Overview

H2 Database vs MariaDB: What are the differences?