H2 Database vs MySQL

Overview

MySQL

Stacks129.6K

Followers108.6K

Votes3.8K

GitHub Stars11.8K

Forks4.1K

H2 Database

Stacks1.3K

Followers121

Votes0

H2 Database vs MySQL: What are the differences?

H2 Database and MySQL are popular relational database management systems (RDBMS) used for storing and managing data. Let's explore the key differences between them.

Performance and Scalability: H2 Database is known for its high performance and speed. It is designed to provide high-speed read and write operations, making it suitable for smaller applications or use cases where speed is crucial. On the other hand, MySQL is known for its scalability and ability to handle large datasets and complex queries effectively. It can handle high traffic websites and supports clustering for improved performance.
Data Types and Functionality: H2 Database offers a wide range of data types and functions, including built-in support for various data types like UUID, INTERVAL, and ARRAY. It also provides advanced features like user-defined functions, full-text search, and support for spatial data types. While MySQL also offers a comprehensive set of data types and functions, it may not have some specific advanced features that are available in H2.
SQL Compatibility and Standards: MySQL follows the SQL standard and is widely adopted, making it compatible with many applications and frameworks. It offers comprehensive SQL functionalities, including support for common SQL statements, joins, and subqueries. H2 Database is compliant with the SQL standard but might have some minor deviations or specific implementation details that are different from MySQL.
Administration and Tooling: MySQL has been around for a long time and has a large community of users and developers. This has resulted in a wide range of administration tools, graphical interfaces, and third-party plugins and extensions that make it easier to manage and work with MySQL databases. In comparison, H2 Database, while still having a decent set of administration tools, might not have the same level of tooling availability as MySQL.
Platform and Compatibility: MySQL is platform-independent and can be installed and run on various operating systems like Windows, Linux, and macOS. It also offers compatibility with many programming languages and frameworks. H2 Database, while also offering multi-platform support, might have some limitations or specific platform considerations that might be different from MySQL.
Maturity and Community Support: MySQL has been in development for a long time and is widely adopted. It has a mature codebase, extensive documentation, and a large active community of users. This means that finding help, tutorials, and solutions to problems related to MySQL is generally easier due to its popularity. H2 Database, while also having an active community and regular updates, might have a relatively smaller user base and community compared to MySQL.

In summary, H2 Database, written in Java, is known for its lightweight footprint, ease of use, and versatility, making it suitable for embedded scenarios and small-scale applications. MySQL, a widely-used open-source RDBMS, offers robust performance, scalability, and extensive community support, making it a preferred choice for large-scale production deployments and enterprise applications.

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Advice on MySQL, H2 Database

Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

Decidedon

PostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k

Comments

Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k

Comments

Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceon

MySQL

PostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k

Comments

Detailed Comparison

MySQL	H2 Database
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.	It is a relational database management system written in Java. It can be embedded in Java applications or run in client-server mode.
Statistics
GitHub Stars 11.8K	GitHub Stars -
GitHub Forks 4.1K	GitHub Forks -
Stacks 129.6K	Stacks 1.3K
Followers 108.6K	Followers 121
Votes 3.8K	Votes 0
Pros & Cons
Pros 800 Sql 679 Free 562 Easy 528 Widely used 490 Open source Cons 16 Owned by a company with their own agenda 3 Can't roll back schema changes	No community feedback yet

What are some alternatives to MySQL, 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.

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.

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.

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 MySQL: What are the differences?

H2 Database and MySQL are popular relational database management systems (RDBMS) used for storing and managing data. Let's explore the key differences between them.

Performance and Scalability: H2 Database is known for its high performance and speed. It is designed to provide high-speed read and write operations, making it suitable for smaller applications or use cases where speed is crucial. On the other hand, MySQL is known for its scalability and ability to handle large datasets and complex queries effectively. It can handle high traffic websites and supports clustering for improved performance.
Data Types and Functionality: H2 Database offers a wide range of data types and functions, including built-in support for various data types like UUID, INTERVAL, and ARRAY. It also provides advanced features like user-defined functions, full-text search, and support for spatial data types. While MySQL also offers a comprehensive set of data types and functions, it may not have some specific advanced features that are available in H2.
SQL Compatibility and Standards: MySQL follows the SQL standard and is widely adopted, making it compatible with many applications and frameworks. It offers comprehensive SQL functionalities, including support for common SQL statements, joins, and subqueries. H2 Database is compliant with the SQL standard but might have some minor deviations or specific implementation details that are different from MySQL.
Administration and Tooling: MySQL has been around for a long time and has a large community of users and developers. This has resulted in a wide range of administration tools, graphical interfaces, and third-party plugins and extensions that make it easier to manage and work with MySQL databases. In comparison, H2 Database, while still having a decent set of administration tools, might not have the same level of tooling availability as MySQL.
Platform and Compatibility: MySQL is platform-independent and can be installed and run on various operating systems like Windows, Linux, and macOS. It also offers compatibility with many programming languages and frameworks. H2 Database, while also offering multi-platform support, might have some limitations or specific platform considerations that might be different from MySQL.
Maturity and Community Support: MySQL has been in development for a long time and is widely adopted. It has a mature codebase, extensive documentation, and a large active community of users. This means that finding help, tutorials, and solutions to problems related to MySQL is generally easier due to its popularity. H2 Database, while also having an active community and regular updates, might have a relatively smaller user base and community compared to MySQL.

H2 Database vs MySQL

Overview