01
Instant tables
Types, dates and keys are inferred on upload. Fix anything in a single review step.
Schema inference
Files
CSV / Excel + Kimo
Drop a CSV or Excel file and Kimo infers types, keys and dates, ready to join with your live sources.
- Auth
- File upload
- Sync
- Manual
- Setup
- Instant
Live demo workspace with fictional data · no signup, no credentials needed
kimo / connectors / csvSyncing
Sync logmanual
- Succeeded:price_list.csv+884 rowsnow
- Succeeded:targets_2026.xlsx › Sheet1+103 rows2m ago
- Succeeded:price_list.csv+1,722 rows4m ago
- Succeeded:targets_2026.xlsx › Sheet1+941 rows6m ago
Rows synced · 30 days
41M
Workspaces
10%
What you can do
What teams build with CSV / Excel
CSV / Excel on its own answers half the question. Joined with the rest of your stack in Kimo, it answers the other half.
02
Join with live data
Uploaded files behave like any other source: join them with Postgres, Stripe or GA4.
Any join
03
Works air-gapped
Upload is the simplest path for offline and classified environments.
Offline-ready
Objects & tables
Exactly what gets synced
Kimo maps CSV / Excel into clean, typed tables with primary keys and incremental cursors, so syncs stay fast and joins just work.
2 tables · 8 fields
Tables
targets_2026.xlsx › Sheet1
Full refresh≈ 877,000 rows| Field | Type | Notes |
|---|---|---|
| month | string | |
| team | enum | Low-cardinality dimension |
| target | string | |
| owner | string |
Custom fields and extra objects are discovered automatically on each sync. Row counts are illustrative.
Sample model
From raw CSV / Excel tables to a certified metric
A starter model Kimo suggests the moment CSV / Excel is connected. Every join is editable.
CSV / Excel · Targets vs. actuals
Monthly targets from a sheet joined with live revenue and signups.
- CSV / Exceltargets_2026.xlsx › Sheet1
- Stripesubscriptions
- PostgreSQLusers
Model
month · team
Measuresactualsignups
Actual revenue · last 30 days
$50K+1.7% wk/wk
Fictional data · hover the chart for daily values
Setup
Connect CSV / Excel in Instant
No engineers, no pipelines to maintain. Kimo asks for the minimum access it needs and tells you exactly what it will read.
- 1
Drop a CSV or Excel file
Up to 200 MB per file. Multiple sheets become multiple tables.
- 2
Review inferred types
Kimo detects dates, numbers, currencies and likely keys. Override anything in one click.
- 3
Join and refresh
Join the table with live sources. Re-upload to refresh, history is kept.
Read-only, encrypted, revocable. Credentials are encrypted with a per-workspace key, never logged, and can be rotated without breaking your models.
Connect CSV / Excel
Step 2 of 3 · Kimo demo workspace
Drop CSV or Excel files
Up to 200 MB · .csv, .xlsx, .tsv
fy27_targets.xlsx0%
Inferred schema
- monthdate
- teamenum
- target_revenuecurrency
- target_signupsinteger
Read-only access
Illustration only · placeholder values, never real secrets
Works great with
Pair CSV / Excel with the rest of your stack
Kimo suggests these joins automatically when both sources are connected.
FAQ
CSV / Excel questions, answered
By default Kimo syncs CSV / Excel when you re-upload a file. You can change the schedule per table, or trigger a sync manually from the connector page.
CSV / Excel · File upload · Manual
See your CSV / Excel data in Kimo in Instant.
Try it on the live demo workspace first, then connect your own account when you are ready.