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Kantata

Business software

Built when you ask for it

Sync Kantata project, task, time entry, and invoice 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 Kantata connector syncs your professional-services automation data into analytics-ready tables in your data warehouse. Pull projects, tasks, time entries, and invoices from the Kantata 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:

  • Projects
  • Tasks
  • Time entries
  • Invoices

How it gets built

  1. Choose Kantata when you set up a pipeline, with the warehouse it goes to and a schedule.
  2. Ingest reads Kantata's documentation, and you choose the tables you want.
  3. Ingest builds the connector and tests it against Kantata itself.
  4. A person at Ingest reviews and publishes it, and your pipeline starts on its own.

What you will need

OAuth 2.0. An Account Administrator registers an application under Settings > API to generate OAuth2 tokens; personal tokens live under User Settings > Password & Authorizations.

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 Kantata connector?
Not as a finished connector yet. Ingest builds it from Kantata's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
Which warehouses can Kantata 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.

Kantata API documentation: https://developer.kantata.com

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.

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