Integrations
Every source, and how it connects.
Some sources Dataki connects to directly. Others reach it through BigQuery, where their owners already export them. Each page says which, and the setup guides walk through every route.
01 9 sources
Connects directly
A connector in the app. Sign in or type the connection details, and ask.
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PostgreSQL Ask your PostgreSQL database questions in plain English. Dataki writes the SQL, runs it with a read-only user and charts the answer — in the browser, or from Claude, ChatGPT or Cursor. A read-only user, over TLS, from one fixed IP -
MySQL Ask your MySQL database questions in plain English. Dataki writes the SQL, runs it with a read-only user and charts the answer — in the browser, or from Claude, ChatGPT or Cursor. A read-only user, over TLS, from one fixed IP -
Amazon Redshift Connect your Amazon Redshift cluster or Serverless workgroup to Dataki and ask your warehouse questions in plain English. Dataki writes Redshift SQL, reads every schema a read-only user can see, and keeps the answers as live dashboards. A read-only user, always over TLS, from one fixed IP -
Google BigQuery Ask BigQuery questions in plain English. Dataki writes GoogleSQL, runs it in your own project with a read-only service account and charts the answer — in the browser or from Claude, ChatGPT or Cursor. A read-only service account in your project -
Supabase Connect your Supabase Postgres database and turn it into dashboards. Sign in with Supabase to pick the project, add its database password, and Dataki queries your tables directly. Sign in with Supabase, then add the database password -
Google Sheets Turn a spreadsheet into a real dashboard. Dataki reads your Google Sheets, answers questions about them in plain English, and keeps the charts live as the sheet changes. Google sign-in, then pick a sheet -
CSV and Excel files Upload a CSV or Excel file and ask it questions in plain English. Dataki loads each sheet as a table, answers with SQL and a chart, and keeps what matters as a dashboard. Upload; each sheet becomes a table -
Neon Connect your Neon Postgres database to Dataki and ask it questions in plain English. Dataki connects over TLS with a read-only role, and keeps the answers as live dashboards. A read-only Postgres role, over TLS
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PlanetScale Connect PlanetScale to Dataki with a read-only password and ask your database questions in plain English. Dataki connects over TLS and keeps the answers as live dashboards. A read-only password, over TLS
02 5 sources
Through BigQuery
No connector of their own. Each has a free or built-in export into BigQuery, and Dataki reads that. A guide sets the route up.
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Google Analytics Ask Google Analytics 4 questions in plain English. Dataki reads GA4's free BigQuery export, every event unsampled, and charts users, sessions, pages and purchases from it. GA4's free BigQuery export -
Firebase Ask Firebase Analytics and Crashlytics questions in plain English. Firebase's free BigQuery export puts active users, releases and crashes one question away. Firebase's BigQuery export
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Google Search Console Ask Search Console questions in plain English. The bulk data export puts every query and page in BigQuery, with no 1,000-row cap, and Dataki charts clicks and rankings from it. The bulk data export to BigQuery
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Stripe Ask Stripe revenue questions in plain English. BigQuery's Stripe connector copies charges, customers, invoices and subscriptions into a dataset, and Dataki answers from it. BigQuery's Stripe connector, in Preview
03 1 source
Through a file or BigQuery
No connector and no export into BigQuery of its own. A CSV export or a copy made by Google's tools is the way in.
