Overview

MariaDB

Stacks16.5K

Followers12.8K

Votes468

GitHub Stars6.6K

Forks1.9K

Firebird

Stacks83

Followers121

Votes9

GitHub Stars1.4K

Forks263

Firebird vs MariaDB: What are the differences?

Comparison between Firebird and MariaDB

Firebird and MariaDB are two popular open-source relational database management systems. While they share some similarities, there are key differences that distinguish them from each other.

Architecture: Firebird follows a client-server architecture, where the server manages all database operations, and clients interact with it. On the other hand, MariaDB utilizes a traditional relational database management system architecture, where clients directly interact with the server.
Data Types: Firebird has a distinct set of data types, including BLOBs (Binary Large Objects), arrays, and compound types like STRUCT and RECORD. MariaDB, on the other hand, offers a wider range of standard data types, including several numeric, date/time, and string types.
Security: Firebird supports role-based security, where users are assigned specific roles that determine their access privileges. In MariaDB, access privileges are granted at the user level, allowing for more fine-grained control over permissions.
Replication: MariaDB offers several options for replication, including asynchronous and synchronous replication. Firebird, on the other hand, does not have built-in replication capabilities, but it can be achieved through third-party tools.
Transaction Management: Firebird uses a multi-generational architecture, where old versions of data are kept during transactions. This allows for consistent read access during ongoing transactions. MariaDB uses a traditional locking-based approach for transaction management.
Stored Procedures: MariaDB supports stored procedures, which are precompiled sets of SQL statements that can be executed repeatedly. Firebird also supports stored procedures but requires the use of triggers and functions to achieve similar functionality.

In summary, Firebird and MariaDB differ in their architecture, data types, security mechanisms, replication options, transaction management approaches, and stored procedures implementation.

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Advice on MariaDB, Firebird

Maxim

student at USI

Aug 25, 2020

Needs adviceon

Node.js

Mongoose

PostgreSQL

Hi all. I am an informatics student, and I need to realise a simple website for my friend. I am planning to realise the website using Node.js and Mongoose, since I have already done a project using these technologies. I also know SQL, and I have used PostgreSQL and MySQL previously.

The website will show a possible travel destination and local transportation. The database is used to store information about traveling, so only admin will manage the content (especially photos). While clients will see the content uploaded by the admin. I am planning to use Mongoose because it is very simple and efficient for this project. Please give me your opinion about this choice.

321k views321k

Comments

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	Firebird
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.	Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, MacOS and a variety of Unix platforms. Firebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. It has been used in production systems, under a variety of names, since 1981.
Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile	-
Statistics
GitHub Stars 6.6K	GitHub Stars 1.4K
GitHub Forks 1.9K	GitHub Forks 263
Stacks 16.5K	Stacks 83
Followers 12.8K	Followers 121
Votes 468	Votes 9
Pros & Cons
Pros 149 Drop-in mysql replacement 100 Great performance 74 Open source 55 Free 44 Easy setup	Pros 3 Open-Source 3 Free 1 Upgrade from MySQL, MariaDB, PostgreSQL 1 Easy Setup 1 Great Performance Cons 2 Speed

What are some alternatives to MariaDB, Firebird?

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.

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.

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.