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  5. Firebird vs MySQL

Firebird vs MySQL

OverviewDecisionsComparisonAlternatives

Overview

MySQL
MySQL
Stacks129.6K
Followers108.6K
Votes3.8K
GitHub Stars11.8K
Forks4.1K
Firebird
Firebird
Stacks83
Followers121
Votes9
GitHub Stars1.4K
Forks263

Firebird vs MySQL: What are the differences?

Introduction

Firebird and MySQL are two popular relational database management systems (RDBMS) that provide the ability to store, manage, and manipulate data. While they share similarities, there are key differences between them that make them suited for different use cases and environments.

  1. Performance: Firebird and MySQL have different performance characteristics. Firebird typically excels in environments with smaller databases and fewer concurrent connections. It is lightweight and can handle a high volume of transactions with low latency. On the other hand, MySQL is optimized for larger databases and can handle a higher number of concurrent connections. It is known for its fast query execution speed.

  2. Data Types: Firebird and MySQL support a similar range of data types, but there are some differences. Firebird offers more advanced data types, such as ARRAY, BLOB, and BOOLEAN, which can be useful in certain scenarios. MySQL, on the other hand, provides additional data types like ENUM and SET, which allow for more flexible data handling.

  3. SQL Syntax: Firebird and MySQL have variations in their SQL syntax. Firebird adheres closely to the SQL standard and supports features like subqueries, stored procedures, and triggers. MySQL, on the other hand, has its own set of SQL extensions and features, such as the ON DUPLICATE KEY UPDATE clause and the LIMIT clause for result pagination.

  4. Transaction Management: Firebird and MySQL have different approaches to transaction management. Firebird supports a multiversion concurrency control (MVCC) model, which allows for concurrent read and write operations without blocking. It also provides full ACID (Atomicity, Consistency, Isolation, Durability) compliance. MySQL uses a locking mechanism for transaction isolation, which can potentially lead to contention and performance issues in highly concurrent environments.

  5. Replication: Firebird and MySQL offer different replication capabilities. Firebird has a built-in replication feature called "Firebird Replication" that allows for master-slave replication, where changes made on the master database are propagated to slave databases. MySQL, on the other hand, provides various replication modes, including master-slave, master-master, and group replication, which offer more flexibility and scalability.

  6. Community and Ecosystem: Firebird and MySQL have different community sizes and ecosystems. MySQL has a larger and more active community, with extensive documentation, tutorials, and online resources available. It also has a wide range of third-party tools, plugins, and libraries. Firebird has a smaller community but still offers a decent ecosystem with support forums, documentation, and a range of tools.

In summary, Firebird and MySQL differ in terms of performance characteristics, supported data types, SQL syntax, transaction management, replication capabilities, and community size. These differences make them suitable for different use cases and environments.

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Advice on MySQL, Firebird

Kyle
Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

DecidedonPostGISPostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k
Comments
Ido
Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k
Comments
Navraj
Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceonMySQLMySQLPostgreSQLPostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k
Comments

Detailed Comparison

MySQL
MySQL
Firebird
Firebird

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.

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.

Statistics
GitHub Stars
11.8K
GitHub Stars
1.4K
GitHub Forks
4.1K
GitHub Forks
263
Stacks
129.6K
Stacks
83
Followers
108.6K
Followers
121
Votes
3.8K
Votes
9
Pros & Cons
Pros
  • 800
    Sql
  • 679
    Free
  • 562
    Easy
  • 528
    Widely used
  • 490
    Open source
Cons
  • 16
    Owned by a company with their own agenda
  • 3
    Can't roll back schema changes
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 MySQL, Firebird?

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.

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.

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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