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LaunchDarkly

Business software

Built when you ask for it

Sync LaunchDarkly feature flag, environment, and segment 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 LaunchDarkly connector syncs your feature management data into analytics-ready tables in your data warehouse. Pull feature flags, environments, segments, and experiments from the LaunchDarkly 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:

  • Feature flags
  • Environments
  • Segments
  • Experiments

How it gets built

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

What you will need

API access token (Bearer). Generate a personal or service access token from the Authorization page in LaunchDarkly account settings.

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

LaunchDarkly API documentation: https://launchdarkly.com/docs/guides/api/rest-api

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.

Request LaunchDarkly