Datumry integrations
Bring business data into one governed analysis workflow
Start with a file or connect a recurring source. Datumry brings each source through the same reviewable path: ingestion, schema confirmation, preparation, analysis, dashboards, and monitoring.
Files and spreadsheets
Upload CSV, TSV, JSON, and Excel files, or connect Google Sheets for analysis that can be refreshed without rebuilding the project.
Databases and warehouses
Connect PostgreSQL, MySQL, Microsoft SQL Server, Snowflake, or Google BigQuery using bounded table or view access and appropriately restricted credentials.
Cloud files and data delivery
Read selected CSV, TSV, JSON, or Parquet objects from Amazon S3, pull bounded CSV, TSV, or JSON data from a public HTTPS URL, or receive JSON records through a protected webhook.
Business applications
Import bounded objects from HubSpot, Shopify, Stripe, and Google Analytics 4 to analyze customer, commerce, revenue, subscription, marketing, and traffic performance.
Recurring refreshes
Supported sources can refresh manually or on a daily or weekly schedule depending on the plan. Datumry records sync history, detects schema changes, and can compare refreshed analysis with a monitored baseline.
At a glance
- CSV, TSV, JSON, and Excel
- Google Sheets and public data URLs
- Five database and warehouse engines
- HubSpot, Shopify, Stripe, and GA4
Connect the source behind your next decision
Create a project, choose a bounded source, and confirm the schema before Datumry uses it for analysis.