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🔶 Avro Viewer

View Apache Avro data files with schema inspection

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What is an Avro File?

Apache Avro is a data serialization system that provides rich data structures, a compact binary format, and built-in schema support. Avro files embed their schema directly, making them self-describing and ideal for data exchange across systems.

Avro files are commonly used for:

  • Apache Kafka event streaming
  • Big data pipelines and data lakes
  • Hadoop ecosystem data storage
  • Data engineering and ETL workflows

Avro Viewer Features

  • Schema DisplayView the full embedded Avro schema with field names and types
  • Record Table ViewBrowse data records in a sortable, searchable table
  • Type IntrospectionInspect complex types including unions, arrays, maps, and nested records
  • 100% PrivateFiles processed locally in your browser - never uploaded

Avro Viewer FAQ

What is Avro?

Apache Avro is a data serialization system developed within the Apache Hadoop project. It uses JSON for schema definitions and a compact binary format for data, supporting schema evolution and rich data structures.

What is the difference between Avro and Parquet?

Avro is a row-based format optimized for write-heavy workloads and streaming, while Parquet is a columnar format optimized for read-heavy analytical queries. Avro is preferred for data transport and Kafka, while Parquet excels for data warehousing.

Is Avro compatible with Kafka?

Yes! Avro is the most widely used serialization format for Apache Kafka. It integrates with Confluent Schema Registry for schema management and supports forward/backward compatibility for evolving data schemas.

Does the viewer display the Avro schema?

Yes! Our viewer extracts and displays the full schema embedded in the Avro file, including field names, types, default values, and nested structures, alongside a table preview of the records.