At Sifflet, our mission has always been to empower data teams with comprehensive observability across their entire data stack. Today, we're excited to announce a significant milestone towards this goal - our new Fivetran integration, expanding Sifflet’s observability landscape into the data movement space.
By integrating Fivetran with Sifflet, you can gain unparalleled visibility into your data's end-to-end journey, ensuring that you’re equipped with the necessary context to swiftly pinpoint the root cause of data incidents.
With today’s release, the Sifflet lineage graph no longer starts at the data platform level. Instead, you now have access to two types of nodes that represent your data’s journey before it even reaches the data platform:
When using Fivetran to ingest data from various sources into your data platform, many things can go wrong, ranging from sync delays to connector-breaking errors. With this new integration, the accurate status of your Fivetran connectors will now be accessible in the Sifflet data catalog and via the Fivetran connector nodes in the lineage.
Thanks to the up-to-date connector status, you can proactively prevent data anomalies from cascading downstream and efficiently reduce the resolution time of data incidents.
Whether you’re navigating the upstream lineage of your dashboard or looking for the owner of a data source, when you encounter a Fivetran connector node in the lineage, you can click on it for key metadata. This information includes the connector’s source and destination, its current status, sync frequency, and the timestamp of the latest sync. Accompanied by the Sifflet metadata that you’re accustomed to (owners, description, and last metadata refresh), this panel gives you, at a glance, all the necessary information about a given connector.
To connect Fivetran to your Sifflet environment, you can refer to the dedicated documentation page. After following the simple setup guide, Fivetran assets will be accessible via the Sifflet lineage and data catalog.
If you want to see the integration in action and learn more about how Sifflet can empower you with comprehensive observability across your entire data stack, check out our documentation or reach out for a demo.