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

HSQLDB vs Microsoft Access

OverviewComparisonAlternatives

Overview

HSQLDB
HSQLDB
Stacks449
Followers61
Votes0
GitHub Stars86
Forks37
Microsoft Access
Microsoft Access
Stacks82
Followers87
Votes0

HSQLDB vs Microsoft Access: What are the differences?

  1. Data Storage and Scalability: HSQLDB stores data in memory by default, providing fast performance but limited scalability for large datasets. In contrast, Microsoft Access allows for more significant amounts of data to be stored in a file, making it more scalable for larger databases.
  2. Client-Server Architecture: HSQLDB is designed as an in-process database engine, making it suitable for embedded use cases. On the other hand, Microsoft Access operates in a client-server architecture, allowing multiple users to connect to the database simultaneously.
  3. Platform Compatibility: HSQLDB is a Java-based database system that can run on any platform with Java support, providing cross-platform compatibility. In comparison, Microsoft Access is a Windows-based application, limiting its compatibility to the Windows operating system.
  4. SQL Standard Compliance: HSQLDB adheres closely to SQL standards, making it suitable for applications requiring full SQL compliance. Microsoft Access, while supporting SQL queries, has deviations from standard SQL syntax in some cases.
  5. License and Cost: HSQLDB is an open-source database, available for free under the modified BSD license, making it a cost-effective choice for many applications. In contrast, Microsoft Access is a proprietary software that requires a separate license for each client, resulting in higher costs for deployment and maintenance.

In Summary, the key differences between HSQLDB and Microsoft Access include data storage and scalability, client-server architecture, platform compatibility, SQL standard compliance, and license/cost considerations.

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Detailed Comparison

HSQLDB
HSQLDB
Microsoft Access
Microsoft Access

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 an easy-to-use tool for creating business applications, from templates or from scratch. With its rich and intuitive design tools, it can help you create appealing and highly functional applications in a minimal amount of time.

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
rich and intuitive design tools; highly functional applications in a minimal amount of time
Statistics
GitHub Stars
86
GitHub Stars
-
GitHub Forks
37
GitHub Forks
-
Stacks
449
Stacks
82
Followers
61
Followers
87
Votes
0
Votes
0
Integrations
Cloud 66
Cloud 66
Leftronic
Leftronic
Spring Boot
Spring Boot
Woopra
Woopra
Microsoft SQL Server
Microsoft SQL Server
Azure SQL Database
Azure SQL Database

What are some alternatives to HSQLDB, Microsoft Access?

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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