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  1. Stackups
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  5. MariaDB vs Microsoft Access

MariaDB vs Microsoft Access

OverviewDecisionsComparisonAlternatives

Overview

MariaDB
MariaDB
Stacks16.5K
Followers12.8K
Votes468
GitHub Stars6.6K
Forks1.9K
Microsoft Access
Microsoft Access
Stacks83
Followers87
Votes0

MariaDB vs Microsoft Access: What are the differences?

Introduction

MariaDB and Microsoft Access are both popular database management systems, but they have key differences that set them apart.

  1. Performance and Scalability: MariaDB is known for its high performance and scalability compared to Microsoft Access. It can handle larger amounts of data and support higher traffic loads, making it suitable for enterprise-level applications. Microsoft Access, on the other hand, is more suitable for small-scale databases and has limitations in terms of performance and scalability.

  2. Platform and Compatibility: MariaDB is a cross-platform database management system that can be used on various operating systems, including Windows, Linux, and macOS. It offers better compatibility with different platforms and can be used with a wide range of programming languages. Microsoft Access, on the other hand, is limited to the Windows platform and has less compatibility with other operating systems.

  3. Cost and Licensing: MariaDB is open-source and free to use, which makes it a cost-effective solution for businesses and developers. It provides all the necessary features without any additional costs. On the other hand, Microsoft Access is a proprietary software and requires a license, which adds to the cost of using the software.

  4. Data Integrity and Security: MariaDB provides robust data integrity and security features, including support for transactions, role-based access control, and encryption. It offers more advanced security options for securing sensitive data. Microsoft Access, on the other hand, has limited security features and may not be suitable for handling highly sensitive data.

  5. Scalability and Concurrency: MariaDB is designed to handle high concurrency and can efficiently manage multiple simultaneous connections. It supports multi-threading and allows for efficient utilization of system resources. Microsoft Access, on the other hand, may face performance issues when handling multiple users and simultaneous connections, making it less suitable for concurrent usage.

  6. Community and Support: MariaDB has a vibrant and active open-source community, providing continuous development, updates, and support. It has a large pool of resources and documentation available, making it easier to find solutions to any issues that may arise. Microsoft Access, on the other hand, has limited community support and may have fewer resources available for troubleshooting and support.

In summary, MariaDB offers better performance, scalability, platform compatibility, and cost-effectiveness compared to Microsoft Access. It also provides stronger data integrity, security features, and better support from an active open-source community.

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Advice on MariaDB, Microsoft Access

Omran
Omran

CTO & Co-founder at Bonton Connect

Jun 19, 2020

Needs advice

We actually use both Mongo and SQL databases in production. Mongo excels in both speed and developer friendliness when it comes to geospatial data and queries on the geospatial data, but we also like ACID compliance hence most of our other data (except on-site logs) are stored in a SQL Database (MariaDB for now)

582k views582k
Comments

Detailed Comparison

MariaDB
MariaDB
Microsoft Access
Microsoft Access

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.

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.

Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
rich and intuitive design tools; highly functional applications in a minimal amount of time
Statistics
GitHub Stars
6.6K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
16.5K
Stacks
83
Followers
12.8K
Followers
87
Votes
468
Votes
0
Pros & Cons
Pros
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup
No community feedback yet
Integrations
No integrations available
Microsoft SQL Server
Microsoft SQL Server
Azure SQL Database
Azure SQL Database

What are some alternatives to MariaDB, 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.

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.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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