Data sources

Every source Dataki reads, and how it gets there

Six connectors in the app, and through them any hosted Postgres or MySQL. Google's products, Firestore and Stripe arrive through BigQuery, where they already export. Each route has a guide that sets it up, and every query runs read-only.

01A connector in the app

Connects directly

Sign in, or type the connection details once. A database, a warehouse or a sheet is queried where it lives, at the moment you ask, so there is no copy of it to keep current.

Wherever your Postgres or MySQL lives

A hosted database is still Postgres or MySQL. Dataki connects over TLS whenever the server offers it, which the hosts below require, and always from one address, 34.89.253.13, so a firewall can let in Dataki and no one else.

03When there is no live route

Through a file, or a sync

An export you upload

A CSV or Excel export is queried with full SQL, each sheet as a table. It is a snapshot, so it suits a question now rather than a dashboard that should keep itself current. MongoDB works this way today, or through a copy in BigQuery.

MongoDB guide

Anything a sync can land

If a tool can put it in BigQuery or Postgres, Dataki can read it there. BigQuery's own Data Transfer Service copies Salesforce, HubSpot, Shopify, Google Ads and more, some in Preview. Airbyte, Fivetran and dlt land hundreds of others in either.

04No connector of their own

Not yet

The connectors people ask for most. None has a date, so we will not pretend otherwise; until one ships, the sync route above is the way in.

  • HubSpot
  • Salesforce
  • Shopify
  • Zendesk
  • Intercom
  • RevenueCat

Need one sooner, or something only your company uses? We build custom connectors for partners, typically in two to four weeks.

Free while we are in beta

Connect a source. Ask it something.

One source is free. It takes about five minutes and a read-only connection, and the answers you keep become dashboards with links that stay live.