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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. HSQLDB vs Oracle PL/SQL

HSQLDB vs Oracle PL/SQL

OverviewComparisonAlternatives

Overview

HSQLDB
HSQLDB
Stacks449
Followers61
Votes0
GitHub Stars86
Forks37
Oracle PL/SQL
Oracle PL/SQL
Stacks748
Followers598
Votes8

HSQLDB vs Oracle PL/SQL: What are the differences?

## Introduction
When it comes to database management systems, HSQLDB and Oracle PL/SQL are two popular options that offer unique features and functionalities. Understanding the key differences between HSQLDB and Oracle PL/SQL can help in making an informed decision when choosing the right database management system for specific needs.

1. **Data Types**: HSQLDB provides a limited set of data types compared to Oracle PL/SQL, which offers a wide range of data types including interval, timestamp, and XMLType, making it more versatile for handling complex data requirements.
2. **Procedural Language Support**: HSQLDB primarily uses SQL for database operations, while Oracle PL/SQL incorporates a procedural language for creating stored procedures, functions, and triggers, allowing for more flexible and powerful database programming capabilities.
3. **Scalability**: Oracle PL/SQL is known for its scalability features, such as partitioning and parallel processing, making it a preferred choice for large enterprise applications that require high performance and scalability, whereas HSQLDB may not be as robust in handling large volumes of data and high concurrent users.
4. **Platform Compatibility**: HSQLDB is a Java-based database that can be seamlessly integrated with Java applications, while Oracle PL/SQL is specifically designed to work with Oracle Database, making it less compatible with other platforms and technologies.
5. **Cost**: HSQLDB is an open-source database that is free to use, whereas Oracle PL/SQL is part of Oracle Database which is a commercial product, requiring licensing fees for commercial use, making HSQLDB a more cost-effective option for small to medium-sized projects.
6. **Community Support**: HSQLDB has a smaller user community compared to Oracle PL/SQL, resulting in limited resources and community support for issue resolution and development assistance.

In Summary, understanding the key differences between HSQLDB and Oracle PL/SQL in terms of data types, procedural language support, scalability, platform compatibility, cost, and community support can help in selecting the appropriate database management system based on specific requirements.

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Detailed Comparison

HSQLDB
HSQLDB
Oracle PL/SQL
Oracle PL/SQL

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.

It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.

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
86
GitHub Stars
-
GitHub Forks
37
GitHub Forks
-
Stacks
449
Stacks
748
Followers
61
Followers
598
Votes
0
Votes
8
Pros & Cons
No community feedback yet
Pros
  • 2
    Multiple ways to accomplish the same end
  • 2
    Powerful
  • 1
    Pl/sql
  • 1
    Massive, continuous investment by Oracle Corp
  • 1
    Extensible to external langiages
Cons
  • 2
    High commercial license cost
Integrations
Cloud 66
Cloud 66
Leftronic
Leftronic
Spring Boot
Spring Boot
Woopra
Woopra
Python
Python
PHP
PHP
.NET
.NET
Node.js
Node.js
Oracle
Oracle
Hadoop
Hadoop
Java
Java

What are some alternatives to HSQLDB, Oracle PL/SQL?

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.

GraphQL

GraphQL

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

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.

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