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Frankfurter

Business software

Built when you ask for it

Sync European Central Bank reference exchange rates. 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 Frankfurter connector syncs foreign exchange reference rates into analytics-ready tables in your data warehouse. Pull latest rates, historical series, and time ranges published by the European Central Bank, with Ingest handling 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:

  • Latest rates
  • Historical series
  • Currency pairs
  • Date ranges

How it gets built

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

What you will need

None. Frankfurter is a public API and needs no credential.

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

Frankfurter API documentation: https://frankfurter.dev/

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, Salesforce, Airtable, Clockify, Facebook Ads.

Request Frankfurter