The analysis that used to take weeks, now takes seconds.

Datter drops into any dataset, runs the full statistical pass, and surfaces what matters. Transform your dataset at the click of a button. Built for data scientists and the teams they support.

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datter.org / orders_2026_q2.csv
48,291 rows
Columns
order_idint
customerstr
regioncat
revenuenum
placed_atdate
paidbool
Insights
Distribution
Correlation
Outliers
Quality
show me revenue by region, split by paid status⌘K
Rows
48,291
Nulls
0.4%-
Outliers
128+
Forecast
+18%+
Revenue by region
grouped · paid vs unpaid
PaidUnpaid
EU
APAC
NA
LATAM
Revenue distribution
right-skewed · log suggested
Datter noticed
Revenue is right-skewed and correlates strongly with order_size (0.87). 128 rows look like outliers — clustered on Tuesdays.
01 — Ingest

Upload anything.
Instantly structured.

CSV, Excel with a dozen tabs, gnarly JSONL, Parquet straight from your warehouse. Datter detects the shape, infers the types, and profiles every column, all in the browser, before anything touches a server.

  • CSVAuto-detect delimiters, encodings, quotes
  • ExcelMulti-sheet, named ranges, cell types preserved
  • JSONNested objects flattened automatically
  • ParquetNative DuckDB: zero conversion overhead
WebAssembly parser
No upload required
PII masked
orders_2026_q2.csv
parsed in 0.3s
orders_2026_q2.csv
12.4 MB · 48,291 rows
order_id
int
customer
str
region
cat
revenue
num
placed_at
date
paid
bool
48291
Aria K.
EU-West
1,240.50
2026-04-02
true
48292
Theo M.
APAC
832.10
2026-04-02
true
48293
Liang W.
NA-East
4,901.00
2026-04-03
false
Rows
48,291
Cols
6
Nulls
0.4%
Dupes
3
02 — Analyze

The full analysis,
already done.

Forty statistical tests run the moment your data lands. Datter ranks the findings by what’s worth your attention and writes them back in plain English; no notebook required.

Distribution · revenue
Revenue is heavily right-skewed.

Most orders are small; a handful are enormous. Datter suggests a log transform before modelling — and has the transformed version ready in one click.

£0median£9.8k
Quality
97/100

3 constant columns flagged. 0.4% missingness across 2 columns. Safe to ship.

Completeness
98
Consistency
96
Uniqueness
99
Outliers
128 rows flagged.

IQR and Z-score agree. Clustered on Tuesdays — worth a schedule check.

Correlation
revenue order_size

Pearson 0.87 · strong, linear, reliable.

Clusters
4 customer segments.

K-Means with elbow at k=4. Silhouette 0.62.

Forecast · next quarter
+18% revenue, 95% CI holds.

Prophet + ARIMA agree. Seasonality accounted for. Export the forecast straight into a dashboard widget.

Q1Q2 (actual)Q3 forecast
Transform suggestions
5 ready to apply.
  • logrevenuereduce skew
  • one-hotregioncategorical
  • normalizeorder_size[0, 1] range
  • imputecustomer_tiermode
  • dropinternal_idconstant
03 — Ask

Ask in plain English.
Get a finished chart.

Datter reads your schema, picks the right visual, and hands back something you could drop into a deck at 9am. Iterate by typing, not by clicking through menus.

datter.org / ask
live
Prompt
⌘K
reading schema · 4 charts readyRun
Try another
Grouped bars · 4 regions · 2 series
PNGSVGCSV
EU-West
APAC
NA-East
LATAM
Paid Unpaid
04 — Connect

Wherever your data lives.
Datter meets it there.

Warehouses, lakes, operational databases, SaaS apps. One click connects them and the same analysis, ML, and natural-language queries work across the lot.

One-click connect

OAuth, API keys, IAM roles. Datter handles auth, schemas, and rate limits.

Always fresh

Incremental syncs run on your schedule. Every chart reflects the latest row.

Your data stays yours

Private VPC option. Credentials encrypted at rest. SOC 2 controls reviewed.

22+ native connectorsMore on request
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PostgreSQL
MySQL
Snowflake
BigQuery
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MongoDB
ClickHouse
Elasticsearch
Supabase
Google Cloud
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Airbyte
Looker
Stripe
HubSpot
Shopify
Intercom
Xero
QuickBooks
Notion
Airtable
Zapier
Airbyte
Looker
Stripe
HubSpot
Shopify
Intercom
Xero
QuickBooks
Notion
Airtable
Zapier
PostgreSQL
MySQL
Snowflake
BigQuery
Databricks
MongoDB
ClickHouse
Elasticsearch
Supabase
Google Cloud
Kafka
Airbyte
Looker
Stripe
HubSpot
Shopify
Intercom
Xero
QuickBooks
Notion
Airtable
Zapier
PostgreSQL
MySQL
Snowflake
BigQuery
Databricks
MongoDB
ClickHouse
Elasticsearch
Supabase
Google Cloud
Kafka
05 — Govern

Enterprise-ready.
Security team approved.

SSO, RBAC, approval workflows, immutable audit logs, and a private deployment option when you need it. The scaffolding your CISO reads without raising an eyebrow.

Audit log
Streaming
ActorActionTargetTime
aria.kpublished pipelineq2_revenue_v712:04
theo.mran scheduledaily_drift_check11:58
liang.wapproval requestedetl_prod_v1211:44
sana.rrolled backetl_prod_v1110:37
datter.botalert firedrevenue anomaly10:21
diego.pshared workspacemarketing_ops09:55
SOC 2 Type II
Controls audited annually. Data residency options. DPA included.
SSO & RBAC
Okta, Google, Azure AD. Viewer, Editor, Admin — scoped per workspace.
Versioned pipelines
Publish, draft, rollback. Diff any two versions step-by-step.
Approval workflows
Production changes pause for sign-off. Nothing ships alone.
Encrypted end-to-end
At rest and in transit. Credentials stored in a dedicated KMS.
Workspace isolation
Per-team data boundaries. Audit trails scoped to each workspace.
06 — Start

Stop hunting.
Start seeing.

Drop a file in the next thirty seconds. No card. No server upload until you ask for one.

PricingCancel anytime
Standard
£7.99/month

Essential EDA for individual analysts.

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  • Email support
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£14.99/month

Advanced compute for data teams.

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Custom

Security and control for organizations.

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