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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. H2 Database vs Microsoft Access

H2 Database vs Microsoft Access

OverviewComparisonAlternatives

Overview

H2 Database
H2 Database
Stacks1.3K
Followers121
Votes0
Microsoft Access
Microsoft Access
Stacks82
Followers87
Votes0

H2 Database vs Microsoft Access: What are the differences?

## Key Differences between H2 Database and Microsoft Access

H2 Database is an open-source relational database management system (RDBMS) written in Java, while Microsoft Access is a proprietary database management system from Microsoft.
H2 Database is cross-platform and can be used on Windows, Linux, and MacOS, whereas Microsoft Access is primarily designed for Windows operating system.
H2 Database supports multiple connections to the database concurrently, allowing for better scalability in multi-user environments, whereas Microsoft Access may encounter performance issues when used by multiple users simultaneously.
H2 Database is known for its fast performance and small footprint, making it suitable for embedded applications, while Microsoft Access is more suitable for small to medium-sized businesses for managing data.
H2 Database uses standard SQL syntax, which makes it easier for developers to work with, while Microsoft Access uses its own proprietary SQL dialect, which may require additional learning for users.
H2 Database can be easily integrated with Java applications as it is written in Java, while Microsoft Access is primarily integrated with other Microsoft Office applications.

In Summary, the key differences between H2 Database and Microsoft Access lie in their open-source vs. proprietary nature, cross-platform compatibility, scalability in multi-user environments, performance, SQL syntax, and integration capabilities with different applications.

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Detailed Comparison

H2 Database
H2 Database
Microsoft Access
Microsoft Access

It is a relational database management system written in Java. It can be embedded in Java applications or run in client-server mode.

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.

-
rich and intuitive design tools; highly functional applications in a minimal amount of time
Statistics
Stacks
1.3K
Stacks
82
Followers
121
Followers
87
Votes
0
Votes
0
Integrations
No integrations available
Microsoft SQL Server
Microsoft SQL Server
Azure SQL Database
Azure SQL Database

What are some alternatives to H2 Database, 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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