Matomo
Business software
Sync Matomo visit, action, and goal data into your warehouse. Ingest builds this connector the first time a customer asks for it, then keeps the tables current in a data warehouse you own, on the schedule you choose.
The Matomo connector syncs your web analytics data into analytics-ready tables in your data warehouse. Pull visits, actions, events, goals, and reports from the Matomo Reporting API, with Ingest handling auth, pagination, and retries so the tables stay current.
What you would get
Each of these arrives as its own table, kept current on the schedule you choose:
- Visits
- Actions
- Events
- Goals
- Reports
How it gets built
- Choose Matomo when you set up a pipeline, with the warehouse it goes to and a schedule.
- Ingest reads Matomo's documentation, and you choose the tables you want.
- Ingest builds the connector and tests it against Matomo itself.
- A person at Ingest reviews and publishes it, and your pipeline starts on its own.
What you will need
Token auth (request parameter). Each user generates their own token inside their Matomo instance (self-hosted or Cloud) under Administration > Personal > Security.
You enter it once, in a form in Ingest, and it is kept in a secret store set aside for your organization.
Questions
- Does Ingest have a Matomo connector?
- Not as a finished connector yet. Ingest builds it from Matomo's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
- Which warehouses can Matomo data go to?
- Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL and Snowflake, in an account you own.
- Do I need to write code?
- No. Ingest builds, runs and maintains the connector. Someone with access to your warehouse connects it once, following a short guide.
Matomo API documentation: https://developer.matomo.org/guides/authentication-in-depth
Where this would land, and what else connects
Setting up the destination is its own short guide, one per warehouse or lake: Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL, Snowflake.
Other sources Ingest connects for SaaS teams: Asana, Jira, Airtable, Clockify, Facebook Ads, Frankfurter.