Amazon Athena — Technology Profile & Architecture

Core Information

#core_information

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

Overview & Role

Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon S3 using standard SQL. It is serverless, so there is no infrastructure to set up or manage, and you pay only for the queries you run. Athena is commonly used for analyzing log data, performing ad-hoc queries, and integrating with other AWS services.

Domain Classification & Tags

Analytics

Performance Profile

#performance_profile

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

Read Performance Profile

Throughput: Varies greatly based on query complexity, data size, and concurrency. Can range from MB/s to GB/s for large analytical queries.

Payload Size: Queries process entire files or partitions, not individual records. Result sets can range from KB to GB.

Processing Latency: Typically 5-30 seconds for simple queries on well-partitioned data. Can extend to minutes for complex queries on large datasets.

Write Performance Profile

Throughput: Athena is primarily a read-only query service. Data is written to S3 using other services (e.g., Glue, EMR, Kinesis Firehose).

Payload Size: N/A (as Athena doesn't directly write data)

Processing Latency: N/A (as Athena doesn't directly write data)

Architecture Diagram

#architecture_diagram

Reference diagram of the technology's internal architecture.

Component Architecture & Topology

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 Amazon Athena.

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.