Connect 45+ data sources to AI analytics

Cloud data warehouse

Google Cloud data warehouse

AWS data warehouse

Open-source relational database

Serverless SQL on Amazon S3

Data and AI lakehouse

SQL Server and Azure SQL

MySQL and MariaDB

Serverless analytics on DuckDB

Microsoft’s analytics platform

Real-time analytics database

Enterprise relational database

In-memory database

Cloud warehouse for fast analytics

PostgreSQL backend platform

Spreadsheets as live tables

Spreadsheet upload

Answers through your LookML

Matches its numbers, moves reports to Dot

Uses your models and metrics

Answers with your Cube measures

Asks Steep for every number

Answers through your Malloy model

Reuses your DAX measures

Explains dashboards, rebuilds them in Dot

Explains cards, moves dashboards to Dot

Traces numbers, moves workbooks to Dot

Repeat buyers, refunds and blended ROAS

MRR, churn and failed payments

Answers from the base you run ops from

Account health, NPS and churn risk

Cost per conversion by campaign and keyword

Spend and conversions by campaign and ad

Traffic by channel, page and device

Pipeline, win rates and tickets

Cycle length, campaigns and renewals

Stalled deals and time to close

Clicks by flow and campaign, and list growth

Syncs Dot’s knowledge, reads your code

Syncs Dot’s knowledge, even self-hosted

Lets Dot read your code

Answers questions, searches your Slack

Answers questions, reads your chats

Answers in your AI assistant

Finds the email behind a number

Checks emailed figures against data

Preps meetings with your numbers

Answers questions by email

Checks plans against actuals

Uses your metric definitions

Answers from your company wiki

Reads team files, checks your drafts

Audits spreadsheets and shared files

Checks billing against contracts

Matches lead lists to your pipeline

Reconciles invoices with your ledger

Ties issues to customers and revenue

Measures adoption of what you ship