Overview

Sifflet's Data Sharing feature lets you directly integrate a curated subset of your Sifflet instance's data into your own data platform, opening the door to custom analysis, reporting, and leveraging Sifflet to monitor Sifflet data.

Once Data Sharing is enabled, Sifflet replicates relevant data from your Sifflet instance to your preferred cloud data platform, enabling you to:

Centralize your data: Consolidate your Sifflet observability data alongside other critical datasets within your data warehouse or data lake.
Fuel custom analytics: Leverage your preferred BI tools to perform in-depth analyses of your Sifflet data, gaining insights into your data quality and pipeline health.
Monitor your Sifflet data: Create Sifflet monitors on top of your Sifflet data to benefit from proactive alerting on critical events within your Sifflet instance. For example, you can create monitors that notify you if a specific data pipeline experiences more than a defined number of failures in a given period, or if data quality metrics deviate from acceptable thresholds. This lets you use Sifflet's monitoring capabilities on your usage data.
Maintain control and security: Your data remains secure throughout the sharing process, adhering to your chosen platform's security protocols.

📘
Refresh frequency
Data presented in the sharing tables may lag behind the live source by a maximum of four hours.

Supported Destinations

Currently, Sifflet supports secure data sharing to the following cloud data platforms:

Snowflake

Sifflet shares data via Snowflake's data sharing capability. Sifflet creates a secure, private share, granting you granular control over access and permissions.

BigQuery

Sifflet shares data through the Analytics Hub service, so you can integrate it with your existing BigQuery workflows.

AWS S3

Sifflet copies data directly to a designated S3 bucket, providing flexibility for integration with various AWS services and analytics tools.

📘
Adding new destinations
If your data platform is not among the supported destinations, contact Sifflet support to discuss your use case.