Count FAQs
Short answer: your warehouse or database, flat files, and anything you can hit with Python.
Native connections (live or snapshot):
- Amazon Athena
- Azure Synapse
- Google BigQuery
- Databricks
- MySQL
- PostgreSQL
- Amazon Redshift
- Snowflake
- Microsoft SQL Server
Files:
- CSVs (upload or drag to the canvas)
Other:
- Use Python cells to call external APIs
Yes. Count has a SOC2 certification, meaning we use the most up-to-date technology and procedures in the way we work. You can read more about everything we do in our trust report and security overview.
Yes! Count supports both SQL and Python and you can reference results from SQL cells in Python and vice versa.
Yes! It's possible to query multiple databases and CSV files in the same canvas.
Check out our pricing page for all the pricing details.
When you join Count you'll have a free 2-week trial in which you can access all the features and have unlimited users and canvases.
If you want to extend your trial or chat, send us a note at hello@count.co
You can see a wide range of canvas examples and templates on the Gallery section of our website. We also regularly showcase how companies are using Count in Company Spotlights and webinars on our blog
Yes, we have a growing Slack community of fellow Count users. You can join us here.
Yes! Find out more about Count Metrics and the benefits of creating reusable definitions and making them available to the rest of your organisation.
Yes, and yes! Use Count's DuckDB database alongside your own. By switching to DuckDB for the bulk of your analysis you can drastically cut down on query costs.