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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. HSQLDB vs MSSQL

HSQLDB vs MSSQL

OverviewDecisionsComparisonAlternatives

Overview

MSSQL
MSSQL
Stacks1.0K
Followers417
Votes3
HSQLDB
HSQLDB
Stacks449
Followers61
Votes0
GitHub Stars86
Forks37

HSQLDB vs MSSQL: What are the differences?

# Key Differences Between HSQLDB and MSSQL

HSQLDB and MSSQL are both popular database management systems used in the industry, but they have several key differences that set them apart. 

1. **Storage Capacity**: HSQLDB has a limited storage capacity compared to MSSQL. While HSQLDB is suitable for small to medium-sized databases, MSSQL can handle large volumes of data effectively due to its scalability and robust architecture.
2. **Transaction Management**: MSSQL offers more advanced transaction management features than HSQLDB. MSSQL supports advanced transaction isolation levels like Serializable, while HSQLDB has limited options for transaction management.
3. **Supported SQL Syntax**: MSSQL supports a wider range of SQL syntax and extensions compared to HSQLDB. This makes MSSQL more versatile and suitable for complex queries and operations that require advanced SQL functionality.
4. **Performance**: MSSQL is known for its superior performance capabilities compared to HSQLDB. MSSQL is optimized for high-performance data processing and can handle heavy workloads efficiently, making it a preferred choice for large enterprises with demanding database requirements.
5. **Cost**: MSSQL is a paid database management system, while HSQLDB is open-source and free to use. This cost difference can be a significant factor for organizations with budget constraints or those looking to minimize expenses on database software.
6. **Operating System Compatibility**: HSQLDB is platform-independent and can run on various operating systems, including Windows, Linux, and macOS. In contrast, MSSQL is primarily designed for Windows-based systems, although there are versions available for Linux as well.

In Summary, HSQLDB and MSSQL differ in terms of storage capacity, transaction management, supported SQL syntax, performance, cost, and operating system compatibility.

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Advice on MSSQL, 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
Sdev
Sdev

Jun 12, 2020

Needs adviceonMSSQLMSSQLMySQLMySQL

We are planning to migrate one of my applications from MSSQL to MySQL. Can someone help me with the version to select?. I have a strong inclination towards MySql 5.7. But, I see there are some standout features added in Mysql 8.0 like JSON_TABLE. Just wanted to know if the newer version has not compromised on its speed while giving out some add on features.

424k views424k
Comments
Anonymous
Anonymous

Nov 26, 2019

Decided

I happen to point my asp.net core web application from MSSQL to MySQL due to infrastructure costs associated with the former db. The application also had challenges creating a migration schema of asp.net membership on MySQL.

After a thorough research I figured out how to do it and also made a video and uploaded to youtube. You can check that here https://youtu.be/X4I0DUw6C84

The full source code for the demo template is available on github here http://bit.ly/2LWgacA

196k views196k
Comments

Detailed Comparison

MSSQL
MSSQL
HSQLDB
HSQLDB

It is capable of storing any type of data that you want. It will let you quickly store and retrieve information and multiple web site visitors can use it at one time.

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.

Resumable online index rebuild; SQL Server machine learning services; Query processing improvements; Automatic database tuning; TempDB file size improvements; Smart differential backup; Smart transaction log backup.
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
-
GitHub Stars
86
GitHub Forks
-
GitHub Forks
37
Stacks
1.0K
Stacks
449
Followers
417
Followers
61
Votes
3
Votes
0
Pros & Cons
Pros
  • 3
    Easy of use
Cons
  • 1
    Vendor lock-in
  • 1
    License Cost
No community feedback yet
Integrations
MySQL
MySQL
PostgreSQL
PostgreSQL
Oracle
Oracle
SQLite
SQLite
Cloud 66
Cloud 66
Leftronic
Leftronic
Spring Boot
Spring Boot
Woopra
Woopra

What are some alternatives to MSSQL, 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.

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.

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.

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