viewparquet

SQL editor · live now · AI assistant · coming soon

Explore Parquet at the speed of thought.

Free online Parquet viewer — private, browser-based, no uploads.

Open a file, run SQL, and scan millions of rows — entirely in your browser. Powered by DuckDB-WASM, with zero server uploads.

Open a fileSee what it does

Parquet & GeoParquet first · CSV, JSON also supported

trips_nyc_2024.parquet

Query 1fares_by_type

SELECT payment_type,

AVG(fare_amount) AS avg_fare

FROM 'trips_nyc_2024.parquet'

GROUP BY 1 ORDER BY 2 DESC;

trip_id

pickup_time

fare_amount ▲

payment_type

t_8f3a21

2024-03-14 08:12:04

24.50

card

t_8f3a22

2024-03-14 08:12:11

18.75

card

t_8f3a23

2024-03-14 08:12:18

42.20

cash

t_8f3a24

2024-03-14 08:12:25

9.80

card

t_8f3a25

2024-03-14 08:12:31

56.30

card

t_8f3a26

2024-03-14 08:12:38

31.00

card

28,431,902 rows

Built for data teams that live in columnar files

bytes uploaded to a server

<100ms

typical query on large files

WASM

DuckDB running in your tab

100%

client-side processing

SQL editor

Real SQL, right in the browser

Write full DuckDB SQL with multi-tab queries, schema autocomplete, and one-click execution. Joins, CTEs, window functions — then export results to Parquet, CSV, or JSON.

trips_nyc_2024.parquet

Query 1fares_by_type

WITH by_type AS (

SELECT payment_type, AVG(fare_amount) AS avg_fare,

COUNT(*) AS trips

FROM 'trips_nyc_2024.parquet'

GROUP BY 1

)

SELECT * FROM by_type ORDER BY avg_fare DESC;

payment_type

avg_fare

trips

card

34.18

21,902,114

cash

27.55

6,201,338

no charge

0.00

328,450

3 rows

Results grid

Scan millions of rows without the wait

A virtualized grid scrolls huge result sets smoothly, with type-aware coloring and per-column stats — cardinality, ranges, and null counts at a glance.

trips_nyc_2024.parquet

Column stats

fare_amount

DECIMAL

min 0.00 · max 412.50

null 0.02%

payment_type

VARCHAR

4 distinct

trip_id

pickup_time

fare_amount ▲

payment_type

t_8f3a21

2024-03-14 08:12:04

24.50

card

t_8f3a22

2024-03-14 08:12:11

18.75

card

t_8f3a23

2024-03-14 08:12:18

42.20

cash

t_8f3a24

2024-03-14 08:12:25

9.80

card

t_8f3a25

2024-03-14 08:12:31

56.30

card

t_8f3a26

2024-03-14 08:12:38

31.00

card

t_8f3a27

2024-03-14 08:12:44

12.40

cash

t_8f3a28

2024-03-14 08:12:50

88.10

card

28,431,902 rows

AI assistantComing soon

Ask in plain language, get SQL back

Describe what you need and the assistant will draft queries, explain your schema, and fix errors — grounded in the file you have open. Run generated SQL or insert it into the editor.

Coming soon

trips_nyc_2024.parquet

Coming soon

Ask in plain language, get SQL back — grounded in the file you have open.

Private by default

Your file never leaves your machine

Every byte stays in your browser with DuckDB-WASM — zero uploads, zero accounts. Open the Network panel and watch nothing leave. Optional cloud storage sync is on the roadmap.

trips_nyc_2024.parquet

NetworkXHR/Fetch

NameSource

trips_nyc_2024.parquetdisk · local

duckdb-eh.wasmcache

Files load from disk — no uploads to a server

Optional cloud storage sync

Coming soon

Formats

Parquet-first, GeoParquet-ready.

Purpose-built for columnar files, with CSV and JSON supported when you need them — all processed locally in DuckDB-WASM.

Parquet.parquet

Native columnar

First-class

GeoParquet.geoparquet

With geometry

First-class

CSV.csv

Auto-detected schema

Supported

TSV.tsv

Tab-delimited

Supported

JSON.json

Objects or arrays

Supported

JSON Lines.jsonl

One record per line

Supported

FAQ

Questions, anticipated.

Got questions? Here are the most common ones about viewparquet.

Do my files leave the browser?

No. All processing happens locally using DuckDB WASM. Check the Network panel — zero uploads.

Can I run SQL on my data?

Yes. The SQL editor supports full DuckDB syntax with multi-tab queries, schema autocomplete, and exports. An AI assistant to generate SQL, explain schema, and fix errors is coming soon.

What file types are supported?

Parquet and GeoParquet are first-class formats for the fastest path. CSV, TSV, JSON, and JSON Lines are also supported as secondary formats.

Is there a file size limit?

File size is only limited by your browser's available memory. The viewer streams and paginates for efficiency.

When is cloud storage coming?

Cloud storage (S3, GCS, and more) is on the roadmap. Today viewparquet is private-first — all processing runs client-side in your browser.

Working with Parquet files? See the full Parquet FAQ — how to open, view, query, and convert Parquet.

Changelog

2.1Jun 12, 2026

Goodbye cookie banner, hello privacy-first analytics

2.0Jun 1, 2026

SQL editor & results grid

1.2Mar 15, 2026

Saved files & faster Parquet loads

1.1Jan 20, 2026

GeoParquet & export to CSV / JSON

See what's new in viewparquet

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