Database Evaluated
Firebird logo

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.

Category / Domain Database
I/O Performance Empirical Profile

Core Information

#core_information

Name, 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_profile

Typical 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_diagram

Reference diagram of the technology's internal architecture.

Component Architecture & Topology

open_in_new Standalone Tab

Features

#features

Catalogued product capabilities and what each one does.

Empirical data for features is currently being compiled in the global catalog.

Typical Use Cases

#typical_use_cases

Scenarios the technology is commonly chosen for.

Empirical data for typical use cases is currently being compiled in the global catalog.

Known Customers

#known_customers

Publicly referenced organisations using the technology.

Empirical data for known customers is currently being compiled in the global catalog.

Known Integrations

#known_integrations

Other products and services it is documented to work with.

Empirical data for known integrations is currently being compiled in the global catalog.

Connectors

#connectors

Directional data connections to other technologies, with direction and maturity.

Empirical data for connectors is currently being compiled in the global catalog.

Reference Architectures

#reference_architectures

Published architectures where the technology is used or mentioned.

No published reference architecture blueprints currently link to Firebird.

Security Features

#security_features

Built-in security and access-control capabilities.

Empirical data for security features is currently being compiled in the global catalog.

Known Issues

#known_issues

Documented limitations, defects and operational pitfalls.

Empirical data for known issues is currently being compiled in the global catalog.

Guidelines

#guidelines

Recommended practices for adopting and operating the technology.

Empirical data for guidelines is currently being compiled in the global catalog.

Standards & Compliance

#standards_and_compliance

Standards, certifications and control requirements it maps to.

Empirical data for standards & compliance is currently being compiled in the global catalog.

Sources

#sources

Documentation and research references behind the recorded information.

Empirical data for sources is currently being compiled in the global catalog.

Expert Validation

#expert_validation

Whether domain experts reviewed and confirmed the content.

Empirical data for expert validation is currently being compiled in the global catalog.