FoundationDB
FoundationDB is a distributed, open-source, transactional key-value store designed for high-performance and scalability. It offers ACID properties, making it suitable for applications requiring strong consistency and reliability, even across a large cluster of machines.
Core Information
#core_informationName, description, vendor website, logo, technology type and tags.
Overview & Role
FoundationDB is a distributed, open-source, transactional key-value store designed for high-performance and scalability. It offers ACID properties, making it suitable for applications requiring strong consistency and reliability, even across a large cluster of machines.
Domain Classification & Tags
Performance Profile
#performance_profileTypical read and write throughput, payload size and processing latency.
Read Performance Profile
Throughput: Millions of reads per second (e.g., 10M+ reads/sec with 1KB values on a 100-node cluster)
Payload Size: Typically optimized for small to medium-sized values (e.g., 1KB to 10KB), but can handle larger up to 100KB or more with potential performance impact.
Processing Latency: Sub-millisecond for typical operations (e.g., 1-2ms for point reads, 5-10ms for range reads depending on range size and network).
Write Performance Profile
Throughput: Hundreds of thousands to millions of writes per second (e.g., 500K-1M+ writes/sec with 1KB values on a 100-node cluster).
Payload Size: Similar to read payload size, optimized for small to medium-sized values (e.g., 1KB to 10KB).
Processing Latency: Typically a few milliseconds for committed transactions (e.g., 5-10ms for single key updates, slightly higher for multi-key transactions due to coordination).
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 FoundationDB.
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.