Server processing — the table is read on the backend
Connect to an Iceberg table to inspect its metadata structure.
What is an Iceberg metadata explorer?
Apache Iceberg is an open table format designed for huge analytic datasets, used across Spark, Trino, Flink, and Snowflake. This tool connects to an Iceberg table path or URI and inspects its metadata structure on the server — no cluster or query engine required to see how the table is organized.
Frequently Asked Questions
- What is Apache Iceberg?
- Apache Iceberg is an open table format for huge analytic datasets. It tracks table state through metadata and manifest files rather than directory listings, enabling snapshot isolation, schema evolution, and time travel across engines like Spark, Trino, and Flink.
- What can this tool show me?
- Point it at an Iceberg table path or URI and it reads the table metadata on the server, returning a summary of the format, location, and current metadata structure.
- Does it support full snapshot navigation?
- This preview focuses on metadata structure inspection. Full snapshot history and manifest file drill-down are planned for future updates.
- Is my table data uploaded anywhere permanent?
- The table metadata is read on the backend only to generate the summary shown here. It is not copied or stored permanently.