Apache Iceberg
Apache Iceberg is an open table format for huge analytic datasets. It adds SQL table capabilities to open source distributed storage formats like Parquet, ORC, and Avro. Iceberg is designed for performance and scalability, enabling users to work with massive tables as easily as with traditional database tables.
Core Information
#core_informationName, description, vendor website, logo, technology type and tags.
Overview & Role
Apache Iceberg is an open table format for huge analytic datasets. It adds SQL table capabilities to open source distributed storage formats like Parquet, ORC, and Avro. Iceberg is designed for performance and scalability, enabling users to work with massive tables as easily as with traditional database tables.
Domain Classification & Tags
Performance Profile
#performance_profileTypical read and write throughput, payload size and processing latency.
Read Performance Profile
Throughput: Varies greatly, 100s MB/s to GB/s per query for analytical scans
Payload Size: Typically large, 100s MB to TBs per query
Processing Latency: Seconds to minutes for complex analytical queries, sub-second for metadata operations
Write Performance Profile
Throughput: Varies greatly, 10s MB/s to GB/s for batch writes, 100s-1000s records/sec for streaming appends
Payload Size: Typically large for batch (GBs to TBs), smaller for streaming (KBs to MBs per record/batch)
Processing Latency: Seconds to minutes for batch writes, 100s ms to seconds for streaming appends (commit time)
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 Apache Iceberg.
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.