Overview

Microsoft SQL Server

Stacks21.3K

Followers15.5K

Votes540

Firebird

Stacks83

Followers121

Votes9

GitHub Stars1.4K

Forks263

Firebird vs Microsoft SQL Server: What are the differences?

Introduction

This Markdown code provides a comparison between Firebird and Microsoft SQL Server. Both Firebird and Microsoft SQL Server are widely used relational database management systems (RDBMS) that offer various features and functionalities. Below are the key differences between Firebird and Microsoft SQL Server.

Cost: One of the major differences between Firebird and Microsoft SQL Server is the cost. Firebird is an open-source database management system that is available for free, while Microsoft SQL Server is a commercial product that requires licensing and can be quite expensive, especially for enterprise-level deployments.
Scalability: Another difference lies in the scalability of the two databases. Firebird is known for its lightweight and efficient design, making it suitable for small to medium-sized applications with moderate workloads. On the other hand, Microsoft SQL Server is designed to handle large-scale enterprise-level deployments with high volumes of data and high transactional workloads.
Operating System Compatibility: Firebird is known for its cross-platform compatibility, as it can run on various operating systems like Windows, Linux, and macOS. In contrast, Microsoft SQL Server is primarily designed to run on Windows-based operating systems, although recent versions have introduced limited support for Linux.
Availability of Features: Microsoft SQL Server offers a wide range of features and functionalities, including advanced business intelligence tools, data analytics capabilities, and integration with other Microsoft products like Azure. While Firebird also provides essential features for database management, it may lack some advanced features that are available in Microsoft SQL Server.
Security Features: Security is an important consideration for any database management system. Microsoft SQL Server offers robust security features, including advanced user authentication mechanisms, role-based access control, and encryption options. Firebird also provides basic security features but may not have the same level of advanced security options as Microsoft SQL Server.
Community Support and Resources: Microsoft SQL Server has a large and active community of users, which means there are plenty of resources, tutorials, and forums available for support and troubleshooting. Firebird has a smaller community compared to Microsoft SQL Server, which means finding resources and community support may be relatively more challenging.

In Summary, Firebird and Microsoft SQL Server differ in terms of cost, scalability, operating system compatibility, availability of features, security features, and community support.

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Advice on Microsoft SQL Server, Firebird

Erin

IT Specialist

Mar 10, 2020

Needs adviceon

Microsoft SQL Server

MySQL

PostgreSQL

I am a Microsoft SQL Server programmer who is a bit out of practice. I have been asked to assist on a new project. The overall purpose is to organize a large number of recordings so that they can be searched. I have an enormous music library but my songs are several hours long. I need to include things like time, date and location of the recording. I don't have a problem with the general database design. I have two primary questions:

I need to use either @{MySQL}|tool:1025| or @{PostgreSQL}|tool:1028| on a @{Linux}|tool:10483| based OS. Which would be better for this application?
I have not dealt with a sound based data type before. How do I store that and put it in a table? Thank you.

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Comments

Detailed Comparison

Microsoft SQL Server	Firebird
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.	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 -	GitHub Stars 1.4K
GitHub Forks -	GitHub Forks 263
Stacks 21.3K	Stacks 83
Followers 15.5K	Followers 121
Votes 540	Votes 9
Pros & Cons
Pros 139 Reliable and easy to use 101 High performance 95 Great with .net 65 Works well with .net 56 Easy to maintain Cons 4 Expensive Licensing 2 Microsoft 1 The maximum number of connections is only 14000 connect 1 Replication can loose the data 1 Allwayon can loose data in asycronious mode	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 Microsoft SQL Server, 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.

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.

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 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.