OCI Data Flow logo

OCI Data Flow

Fully managed Apache Spark service for batch and streaming jobs.

Category / Domain Parallel Processing
I/O Performance Empirical Profile

Core Information

#core_information

Name, description, vendor website, logo, technology type and tags.

Overview & Role

Fully managed Apache Spark service for batch and streaming jobs.

Domain Classification & Tags

Performance Profile

#performance_profile

Typical read and write throughput, payload size and processing latency.

Read Performance Profile

Throughput: Varies greatly with cluster size and data source. Can range from MB/s to GB/s (e.g., 100s of MB/s to several GB/s for large clusters processing data from OCI Object Storage).

Payload Size: Typically processes large datasets, often terabytes or petabytes, rather than individual 'payloads'. Individual records within these datasets can range from bytes to MBs.

Processing Latency: Batch processing, so 'latency' is less about individual requests and more about job completion time. Job run times can range from minutes to hours, depending on data volume and complexity.

Write Performance Profile

Throughput: Varies greatly with cluster size and data sink. Can range from MB/s to GB/s (e.g., 100s of MB/s to several GB/s for large clusters writing to OCI Object Storage).

Payload Size: Typically writes large datasets, often terabytes or petabytes. Individual records within these datasets can range from bytes to MBs.

Processing Latency: Batch processing, so 'latency' is less about individual requests and more about job completion time. Job run times can range from minutes to hours, depending on data volume and complexity.

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 OCI Data Flow.

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.