ORC Viewer Online — Open .orc Files in Your Browser

ORC files live deep in the Hadoop and Hive ecosystems. They’re compact and columnar, but inspecting one usually means spinning up a JVM or pulling in PyArrow. PondPilot opens .orc files directly in the browser.

How to View

  1. Open app.pondpilot.io
  2. Drop in your .orc file
  3. Instantly see the schema and a data preview
  4. Query with SQL

The file is read in place via DuckDB WebAssembly. Nothing is uploaded.

Full SQL on ORC

Most ORC viewers just show rows. PondPilot gives you DuckDB’s full analytical SQL dialect on top of your ORC data:

SELECT
  region,
  COUNT(*) AS rows,
  SUM(amount) AS total
FROM 'warehouse.orc'
WHERE event_date >= DATE '2024-01-01'
GROUP BY region
ORDER BY total DESC;

Aggregations, window functions, joins between ORC and other files — all available.

Schema Inspection

ORC files carry detailed type and statistics metadata. The schema panel surfaces:

  • Column names and types
  • Nested struct, list, and map types
  • Nullability

Useful when you receive an ORC file from a Hive/Spark pipeline and need to understand what’s inside before writing queries.

Export to Something More Portable

ORC is a fine storage format, but not everyone can read it. PondPilot lets you pull data out and export it as Parquet, CSV, JSON, or Excel — whatever your downstream tool accepts.

Handles Compressed ORC

ORC files are typically ZLIB or ZSTD compressed. DuckDB’s ORC reader handles compression transparently.

Privacy

ORC files from a data warehouse can contain anything — customer data, transactional records, internal metrics. PondPilot processes everything in-browser. No server sees your file.

Get Started

Visit app.pondpilot.io and open your ORC file.

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