Firebird
Firebird is a powerful, open-source relational database management system (RDBMS) that offers high performance, robust features, and a small footprint. It supports stored procedures, triggers, views, and full ACID compliance, making it suitable for a wide range of applications from embedded systems to enterprise solutions.
Core Information
#core_informationName, description, vendor website, logo, technology type and tags.
Overview & Role
Firebird is a powerful, open-source relational database management system (RDBMS) that offers high performance, robust features, and a small footprint. It supports stored procedures, triggers, views, and full ACID compliance, making it suitable for a wide range of applications from embedded systems to enterprise solutions.
Domain Classification & Tags
Performance Profile
#performance_profileTypical read and write throughput, payload size and processing latency.
Read Performance Profile
Throughput: Thousands of transactions per second (TPS) for typical OLTP workloads, can reach tens of thousands depending on hardware and schema.
Payload Size: Varies widely, from small key-value lookups (tens of bytes) to larger record sets (kilobytes to megabytes).
Processing Latency: Sub-millisecond for simple indexed lookups, typically 1-10 ms for more complex queries.
Write Performance Profile
Throughput: Hundreds to thousands of transactions per second (TPS) for typical OLTP workloads, can be bottlenecked by disk I/O.
Payload Size: Typically tens of bytes to a few kilobytes per record for OLTP, larger for bulk inserts.
Processing Latency: Typically 1-10 ms for single record inserts/updates, can be higher for transactions involving multiple writes or complex triggers.
Architecture Diagram
#architecture_diagramReference diagram of the technology's internal architecture.
Features
#featuresCatalogued product capabilities and what each one does.
Empirical data for features is currently being compiled in the global catalog.
Typical Use Cases
#typical_use_casesScenarios the technology is commonly chosen for.
Empirical data for typical use cases is currently being compiled in the global catalog.
Known Customers
#known_customersPublicly referenced organisations using the technology.
Empirical data for known customers is currently being compiled in the global catalog.
Known Integrations
#known_integrationsOther products and services it is documented to work with.
Empirical data for known integrations is currently being compiled in the global catalog.
Connectors
#connectorsDirectional data connections to other technologies, with direction and maturity.
Empirical data for connectors is currently being compiled in the global catalog.
Reference Architectures
#reference_architecturesPublished architectures where the technology is used or mentioned.
No published reference architecture blueprints currently link to Firebird.
Security Features
#security_featuresBuilt-in security and access-control capabilities.
Empirical data for security features is currently being compiled in the global catalog.
Known Issues
#known_issuesDocumented limitations, defects and operational pitfalls.
Empirical data for known issues is currently being compiled in the global catalog.
Guidelines
#guidelinesRecommended practices for adopting and operating the technology.
Empirical data for guidelines is currently being compiled in the global catalog.
Standards & Compliance
#standards_and_complianceStandards, certifications and control requirements it maps to.
Empirical data for standards & compliance is currently being compiled in the global catalog.
Sources
#sourcesDocumentation and research references behind the recorded information.
Empirical data for sources is currently being compiled in the global catalog.
Expert Validation
#expert_validationWhether domain experts reviewed and confirmed the content.
Empirical data for expert validation is currently being compiled in the global catalog.