# Apache Avro

**Canonical:** https://apis.io/providers/avro/  
**Website:** https://avro.apache.org/  
**APIs profiled:** 1

Apache Avro is a data serialization system that provides rich data structures, a compact binary format, and container files for storing persistent data. Avro uses JSON for defining data types and protocols, and serializes data in a compact binary format.

## Kin Score — 17.5 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 17.5).

| Facet | Score |
|---|---|
| Discoverability | 59.3 |
| Contract Quality | 8.5 |
| Governance | 25.0 |
| Contract Governance | 25.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 9.5 |
| Commercial Clarity | 15.8 |
| Access Clarity | 15.8 |

## Agent readiness — 3.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Freemium — onboarding: unknown, pricing: freemium, trial: no (confidence: medium).

## APIs (1)

- **Apache Avro Schema Format** — JSON Schema for validating Apache Avro schema definitions. Covers all Avro types including primitive types (null, boolean, int, long, float, double, bytes, string), complex type...

## Security (2)

- **Avro Domain Security** — TLSv1.3 · HSTS · DMARC
- **Avro Vulnerability Disclosure** — security.txt · contact published

## Plans (1)

- **Avro Plans Pricing**

## Use cases (5)

- **Event Streaming** — Serialize Kafka events with Avro schemas stored in a Schema Registry for high-throughput data pipelines.
- **Data Lake Storage** — Store large datasets in Avro container files in Hadoop-compatible storage with embedded schema metadata.
- **Schema Registry Integration** — Use Confluent Schema Registry to manage schema versions and enforce compatibility across producers and consumers.
- **Inter-Service Messaging** — Define message contracts between microservices using Avro schemas for type-safe data exchange.
- **Batch Data Processing** — Process large volumes of structured data with Apache Spark, Hive, or Flink using Avro as the interchange format.

## Tags

Apache, Big Data, Binary Format, Data Serialization, Schema Evolution

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/avro/). Scores are computed from the provider's own public artifacts under a published rubric.