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  5. HSQLDB vs MySQL

HSQLDB vs MySQL

OverviewDecisionsComparisonAlternatives

Overview

MySQL
MySQL
Stacks129.6K
Followers108.6K
Votes3.8K
GitHub Stars11.8K
Forks4.1K
HSQLDB
HSQLDB
Stacks449
Followers61
Votes0
GitHub Stars86
Forks37

HSQLDB vs MySQL: What are the differences?

Introduction

In this article, we will explore the key differences between HSQLDB and MySQL, two popular relational database management systems. Both HSQLDB and MySQL have their own unique features and characteristics that differentiate them from each other.

  1. Data Types: One of the major differences between HSQLDB and MySQL is their support for data types. HSQLDB provides a limited set of data types compared to MySQL. MySQL offers a wider range of data types including spatial data types, JSON data types, and various temporal data types, whereas HSQLDB focuses mainly on basic data types.

  2. Scalability: Another important difference between HSQLDB and MySQL lies in their scalability. MySQL is designed to handle large-scale databases and can efficiently handle heavy workloads. It supports features like horizontal scaling with the help of sharding, replication, and clustering techniques. On the other hand, HSQLDB is primarily intended for small to medium-sized databases and is not suitable for handling extensive scalability requirements.

  3. Storage Engines: HSQLDB and MySQL use different storage engines to manage and store data. MySQL supports multiple storage engines such as InnoDB, MyISAM, and Memory, each with its own advantages and limitations. In contrast, HSQLDB uses a single storage engine that is optimized for its in-memory capabilities. This makes HSQLDB more suitable for applications that require fast in-memory data access.

  4. Transaction Isolation Levels: HSQLDB and MySQL differ in their default transaction isolation levels. MySQL has a default isolation level of "REPEATABLE READ," which ensures that a transaction sees a consistent snapshot of the data throughout its duration. On the other hand, HSQLDB has a lower default isolation level of "READ COMMITTED," which provides a higher level of concurrency but may lead to non-repeatable reads and phantom reads in certain scenarios.

  5. SQL Compatibility: HSQLDB and MySQL have different levels of compatibility with the SQL standard. MySQL, being a more mature and widely used database, provides better compatibility with the SQL standard and supports more advanced SQL features. HSQLDB, although it supports most of the SQL standard, may have some limitations and differences in syntax and behavior compared to MySQL.

  6. Community and Support: Lastly, the community and support available for HSQLDB and MySQL differ significantly. MySQL has a large and active community, with extensive documentation, online forums, and community-driven resources. It also has commercial support options available from Oracle. HSQLDB, while it has an active community, may have fewer resources and support options compared to MySQL.

In summary, HSQLDB and MySQL differ in their data type support, scalability capabilities, storage engines, transaction isolation levels, SQL compatibility, and community support. Understanding these differences will help developers and database administrators choose the most suitable database for their specific needs.

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Advice on MySQL, HSQLDB

Kyle
Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

DecidedonPostGISPostGIS

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
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
Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceonMySQLMySQLPostgreSQLPostgreSQL

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
MySQL
HSQLDB
HSQLDB

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 offers a small, fast multi-threaded and transactional database engine with in-memory and disk-based tables and supports embedded and server modes. It includes a powerful command line SQL tool and simple GUI query tools.

-
Original code, based on in-depth study of database theory and the SQL Standard; Extensive syntax compatibility modes for porting from other database systems; The fastest overall open-source SQL implementation for small and medium sized databases; Three transaction control models, including lock based and MVCC models; Fully multi-threaded; Compact code footprint
Statistics
GitHub Stars
11.8K
GitHub Stars
86
GitHub Forks
4.1K
GitHub Forks
37
Stacks
129.6K
Stacks
449
Followers
108.6K
Followers
61
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
Integrations
No integrations available
Cloud 66
Cloud 66
Leftronic
Leftronic
Spring Boot
Spring Boot
Woopra
Woopra

What are some alternatives to MySQL, HSQLDB?

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.

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.

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.

RethinkDB

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

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

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.

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