Apache Hudi — Technology Profile & Architecture

Core Information

#core_information

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

Overview & Role

Apache Hudi is a data lake platform that brings database-like transactional capabilities to data lakes. It enables upserts, deletes, and incremental processing on large analytical datasets stored in formats like Parquet and Avro on distributed file systems or cloud storage.

Domain Classification & Tags

Analytics

Performance Profile

#performance_profile

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

Read Performance Profile

Throughput: Varies greatly, can be 10,000s of records/sec to millions of records/sec depending on query complexity, data size, and underlying storage/compute.

Payload Size: Typically large, ranging from 100s of KB to several MB per record/file, as Hudi is optimized for analytical workloads.

Processing Latency: Sub-second for simple point lookups (on primary key) to several seconds or minutes for complex analytical queries over large datasets.

Write Performance Profile

Throughput: Thousands to hundreds of thousands of records/sec for upserts and inserts, depending on write mode (Copy-on-Write vs. Merge-on-Read), data volume, and cluster size.

Payload Size: Typically large, ranging from 100s of KB to several MB per record/file, as Hudi processes data in batches.

Processing Latency: Seconds to minutes for batch writes, depending on the size of the batch, merge complexity, and underlying storage performance. Near real-time for streaming ingest with micro-batches (seconds).

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 Apache Hudi.

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.