HSQLDB vs Oracle

Overview

Oracle

Stacks2.6K

Followers1.8K

Votes113

HSQLDB

Stacks449

Followers61

Votes0

GitHub Stars86

Forks37

HSQLDB vs Oracle: What are the differences?

HSQLDB vs Oracle

Introduction

In this comparison, we will discuss the key differences between HSQLDB and Oracle databases. Both HSQLDB and Oracle are popular relational database management systems, but they have distinct characteristics and features that set them apart.

1. Pricing Model:

HSQLDB is an open-source database and is available free of cost. On the other hand, Oracle is a commercial database and requires purchasing a license for its use. The cost of Oracle licenses can be quite high, especially for enterprise-level deployments.

2. Scalability and Performance:

Oracle is known for its scalability and performance in handling large datasets and high transaction volumes. It supports various advanced features like parallel processing, partitioning, and parallel execution plans, allowing it to effectively handle demanding workloads. While HSQLDB is capable of handling small to medium-sized databases, it may face performance limitations when dealing with large-scale applications.

3. Feature Set:

Oracle offers a comprehensive set of features including advanced security, backup and recovery options, high availability, and robust data integrity controls. It provides extensive support for complex SQL queries, conforming to SQL standards. HSQLDB, on the other hand, has a more limited feature set compared to Oracle, with fewer advanced options and scalability features.

4. Deployment and Support:

Oracle is widely used in enterprise environments and has a strong support ecosystem. It offers extensive documentation, online communities, and professional support services, ensuring reliability and assistance in case of any issues. HSQLDB, being an open-source database, relies largely on its community for support, which may not be as extensive or reliable as the support available for Oracle.

5. Database Administration:

Oracle provides a range of database administration tools and utilities for managing and monitoring databases, making it easier for database administrators to efficiently maintain the system. HSQLDB, being a lightweight database, may have a simpler administration process but might lack advanced tools or utilities for managing and monitoring larger databases.

6. Platform Compatibility:

Oracle is supported on a wide range of operating systems and hardware platforms, making it a versatile choice for various deployment scenarios. HSQLDB, although platform-independent like Oracle, may have limited compatibility in some specific environments and platforms.

In Summary, HSQLDB is an open-source database with a limited feature set, while Oracle is a commercial database with comprehensive features, better scalability, and advanced administration tools. Oracle's performance, extensive support, and scalability make it a popular choice for enterprise-level applications, though it comes with a significant cost.

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Advice on Oracle, HSQLDB

Daniel

Data Engineer at Dimensigon

Jul 18, 2020

Decided

We have chosen Tibero over Oracle because we want to offer a PL/SQL-as-a-Service that the users can deploy in any Cloud without concerns from our website at some standard cost. With Oracle Database, developers would have to worry about what they implement and the related costs of each feature but the licensing model from Tibero is just 1 price and we have all features included, so we don't have to worry and developers using our SQLaaS neither. PostgreSQL would be open source. We have chosen Tibero over Oracle because we want to offer a PL/SQL that you can deploy in any Cloud without concerns. PostgreSQL would be the open source option but we need to offer an SQLaaS with encryption and more enterprise features in the background and best value option we have found, it was Tibero Database for PL/SQL-based applications.

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Comments

Abigail

Dec 6, 2019

Decided

In the field of bioinformatics, we regularly work with hierarchical and unstructured document data. Unstructured text data from PDFs, image data from radiographs, phylogenetic trees and cladograms, network graphs, streaming ECG data... none of it fits into a traditional SQL database particularly well. As such, we prefer to use document oriented databases.

MongoDB is probably the oldest component in our stack besides Javascript, having been in it for over 5 years. At the time, we were looking for a technology that could simply cache our data visualization state (stored in JSON) in a database as-is without any destructive normalization. MongoDB was the perfect tool; and has been exceeding expectations ever since.

Trivia fact: some of the earliest electronic medical records (EMRs) used a document oriented database called MUMPS as early as the 1960s, prior to the invention of SQL. MUMPS is still in use today in systems like Epic and VistA, and stores upwards of 40% of all medical records at hospitals. So, we saw MongoDB as something as a 21st century version of the MUMPS database.

540k views540k

Comments

Abigail

Dec 10, 2019

Decided

We wanted a JSON datastore that could save the state of our bioinformatics visualizations without destructive normalization. As a leading NoSQL data storage technology, MongoDB has been a perfect fit for our needs. Plus it's open source, and has an enterprise SLA scale-out path, with support of hosted solutions like Atlas. Mongo has been an absolute champ. So much so that SQL and Oracle have begun shipping JSON column types as a new feature for their databases. And when Fast Healthcare Interoperability Resources (FHIR) announced support for JSON, we basically had our FHIR datalake technology.

558k views558k

Comments

Detailed Comparison

Oracle	HSQLDB
Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.	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 -	GitHub Stars 86
GitHub Forks -	GitHub Forks 37
Stacks 2.6K	Stacks 449
Followers 1.8K	Followers 61
Votes 113	Votes 0
Pros & Cons
Pros 44 Reliable 33 Enterprise 15 High Availability 5 Hard to maintain 5 Expensive Cons 14 Expensive	No community feedback yet
Integrations
No integrations available	Cloud 66 Leftronic Spring Boot Woopra

What are some alternatives to Oracle, HSQLDB?

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.

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.

Related Comparisons

HSQLDB vs Oracle

Overview

HSQLDB vs Oracle: What are the differences?

HSQLDB vs Oracle

Introduction

1. Pricing Model:

2. Scalability and Performance:

3. Feature Set:

4. Deployment and Support:

5. Database Administration: