Studio-Local

Your data workspace.
One local environment.

Explore datasets, write SQL and Python, build visual pipelines, and run workflows from one focused workspace.

Open StudioExplore Features
Import files, write SQL, and analyze locally.

How Studio-Local works

01
CSVsales.csv
Import filesCSV, Parquet, JSON
02
Explore & querySQL + Python notebooks
03
TransformVisual ETL pipelines
04
✓result.parquet
Export & reuseClean outputs

Studio-Local notebooks, Visual ETL, and workflows

Open
Downloads
NameKindSize
▤sales.csvCSV document142 KB
▤customers.csvCSV document88 KB
▤inventory.parquetParquet1.2 MB
▶RunSQL⌄cell_1 / monthly_revenue_summary
⌃✧▣⌫⋮
1
2
3
4
5
6
▦▥
regiontext
3 distinct
total_ordersnumber
16,680 – 84,120
net_revenuenumber
$940K – $4.21M
North America84,120$4,210,500.00
Europe41,200$2,180,420.50
Asia Pacific16,680$940,110.00
SOURCE
sales.csv
142K rows8 columns
FILTER
Delivered orders
status = delivered
AGGREGATE
Revenue by region
GROUP regionSUM revenue
OUTPUT
regional_revenue
Ready
100%
PreviewSchemaSQL
regiontotal_ordersnet_revenue
North America84,120$4,210,500
Europe41,200$2,180,420
Asia Pacific16,680$940,110
NOTEBOOK
Monthly revenue analysis
SQL + Python6 cells
VISUAL ETL
Revenue pipeline
4 nodesregional_revenue
100%
Latest run2 steps completed
✓ Success
Monthly revenue analysisNotebook✓
Revenue pipelineVisual ETL✓
WORK YOUR WAY

Everything you need to move from data to insight.

Analyze
1SELECT region, revenue
2FROM sales;
North America$4.21M

Analyze

Query datasets with SQL or Python and turn results into useful visualizations.

Transform
CSVsales
TransformClean
Outputresult

Transform

Clean, filter, join, and reshape data visually with connected transformation steps.

Automate
ImportCompleted✓
TransformCompleted✓
ExportReady→

Automate

Connect notebooks and pipelines into repeatable workflows that can be run again.

Assist
✧

Chart revenue by region

Generated SQLInsert into cell

Assist

Use AI-assisted tools to help create SQL, understand results, and refine your workspace.

Studio-Local
Processing locally
LOCAL-FIRST

Built for your local machine.

Core data processing is designed to stay on your machine, so you can explore, transform, and iterate without moving every dataset into a cloud workspace.

Open Studio→