Firebird DB: features, advantages and areas of application

Firebird DB is an Open Source and Light SQL database with multiplatform support. Among the advantages of the platform are its low consumption of resources and its simple configuration. Firebird is used in particular for industrial process analysis, point of sale (POS) and medical data analysis.

Firebird, what is it?

Firebird DB is a Relational database management system Open Source (SGBDR) based on SQL standard and available on all the main platforms. Firebird can operate under Windows, Linux, MacOS as well as Solaris and is offered in different variants (which are not always available for all platforms):

• Superserver (Threadeddicated): This variant uses the MultithREADE server process. This means that all requests and connections are managed within a single process with a shared cache. THE Superservers are designed for environments with moderate connections traffic.
• Classicer (Multiprocess): For each customer connection, a process with its own cache is launched. This architecture is mainly recommended for the symmetrical multiprocessor treatment (SMP), that is to say for multi-processor systems where several processors share the same memory and perform tasks simultaneously. However, the ClassicServers consume more memory.
• Superclassicserver (Threadedshared): In this hybrid variant, a process is used to manage all connections. THE Superclassicervers However, attribute a separate cache with each connection, thus combining the SMP capabilities of the ClassicServers with the superservers' threading model.
• Embeddedserver : Thanks to this variant, developers have the possibility of granting a single application exclusive access to the database. Thus, the version Embedded is ideal for applications such as CD-ROM catalogs, demonstration versions or monopotic applications. Embedded can be integrated directly into your application in the form of a library, without separate installation.

The Firebird database works with multi-generational architecture (MGA, also called MVCC for Multi-Version Competance Control), which allows parallel reading-writing access without locking conflicts. This guarantees constant performance even in the event of many access.

What features offer Firebird DB?

Users benefit from a set of full features, thanks to which Firebird covers both basic SQL operations and advanced database mechanisms. Among the main characteristics, we find:

• ACID compliant transactions : Reading and writing operations respect all ACID parameters (atomicity, consistency, isolation and sustainability).
• Stored procedures and triggers : Firebird DB supports reusable procedures and triggers based on events, and offers fully equipped procedural language for them (PSQL).
• Referential integrity : This database management system guarantees coherent relationships between tables thanks to the support of foreign keys.
• Support for external functions (UDF): It is possible to integrate your own functions into Firebird, for example, to carry out calculations or implement extensions.
• Many third -party tools available : In particular, this includes graphic and replication tools, as well as many other practical tools.
• Rigorous data management : Firebird DB provides fast food in the event of a failure, without requiring separate transaction newspapers.
• Variety of access methods : Whether via an API, a Dbexpress driver, a .NET supplier, a native JDBC pilot of type 4, a Python, PHP or Perl, Firebird DB module allows many forms of access to the database.
• Incremential backups : To minimize storage needs and stop times, Firebird DB uses incremental backups. This means that the system only saves the pages of the modified database since the last complete or differential backup.
• Complete implementation of PSQL cursors : Firebird DB allows you to declare, open, browse and close cursors appointed in PSQL procedures, triggers and blocks. PSQL means SQL procedurala procedural extension of SQL specially developed for Firebird.

Advantages and disadvantages of Firebird DB

Firebird DB is distinguished by a sleek design which requires neither expensive equipment nor specialized administrators. It also presents many assets, which we have summarized below:

• Minimum consumption of resources : Thanks to its compact design, Firebird DB operates reliably even on low -efficient equipment or in on -board environments. This database management system is ideal for use cases where resources are limited.
• Low administration effort : thanks to the transactional model (ACID/MGA) and the integrated management tools, the need for specialized personnel for the administration of the database is often eliminated.
• Fast commissioning : the installation is simple and does not require a complex configuration, which allows immediate use.
• Active community : In case of questions or problems, many supports are available, such as forums or broadcast lists) by email.
• Multiplateform compatibility : Firebird DB supports Linux, Windows, as well as MacOS and Solaris, thus facilitating the development of multiplatform applications.

The database, however, has some weaknesses. The main drawbacks include in particular:

• Lack of horizontal scalability : Firebird DB does not offer integrated support to automatically share the data and the load on several servers. This system is therefore mainly designed for installations on a single server.
• Fixed database diagram : Firebird databases use a predefined diagram, which requires defining the tables and columns in advance. Many competing offers, however, allow dynamic patterns.
• Complex maintenance of stored procedures : Although the stored procedures are very useful in production, their creation and maintenance are generally quite complex.

What are the Firebird DB areas of application?

Firebird DB proves its value wherever a reliable SQL database and resource economy is required. The database management system is particularly suitable for the following applications:

• Analysis of industrial processes : collection of sensor data in production facilities and real -time optimization of production plans.
• Point of sale systems : Treatment of local transactions for cash and accounting systems with synchronization to back office.
• Health and laboratories management : Management and statistical analysis of patient data.
• Telecommunications : processing of customer data, calculation of prices and billing processes.
• Document management : Metadata storage, versions management and documentary processes.
• Game backends : Persistence of backups, profiles and configuration data for multiplayer and simulation environments.

What are the alternatives to Firebird?

As there are many other databases or database management systems in addition to Firebird DBit is wise to learn about possible alternatives. The choice of the most appropriate option will depend on your requirements. Among the main alternatives to Firebird, we find in particular the following solutions:

• Mongodb: As a NOSQL database, Mongodb stores data in JSON binary documents, allowing flexible data structures without a defined diagram. This system is particularly suitable for vast and growing data volumes and is distinguished by unlimited horizontal scalability.
• Mariadb: this is a fork de MySQL, entirely based on the principle of open-source. Mariadb offers full management of SQL, various storage mechanisms and great flexibility.
• Dynamodb: The fully managed NOSQL service and without Amazon server is distinguished in particular by automatic scalability, multi-region replication and extremely low latencies.
• Couchbase: This solution combines storage based on documents with a cache integrated in memory and offers simplified horizontal scalability. Contrary to Firebird DBCouchbase also has a powerful full text search, located directly in the database cluster.
• MySQL: The MySQL database management system, widely used in the world, offers not only many scalability options and a user -friendly interface, but also stable performance and great data security. MySQL is a first choice option for structured data.
• Apache Cassandra: Thanks to its scalability options, this NOSQL database is particularly suitable for large amounts of data, managed with very low latencies. Apache Cassandra is also renowned for his great resilience and robustness.