Platform

Developers

Resources

Pricing

Snowflake, Redshift, BigQuery Data Warehouse Support

Statsig Product Updates
Arrow Left
Arrow Right
9/1/2022
#

Snowflake, Redshift, BigQuery Data Warehouse Support

We’re thrilled to announce that today we're rolling out native integrations with popular data warehouses (DWs) including Snowflake, Redshift, and BigQuery. Now you can import metrics directly from your existing DW tables and automatically include them in the results of all of your experiments, feature gates, and holdouts.

Ingesting precomputed metrics from DWs was been a common request from customers who have a well-established modern data stack. Our new native DW integrations enable you to immediately start measuring your team’s core metrics and KPIs for every product launch as you scale out product experimentation with Statsig 

You can now simply enter your DW connection string in the Statsig console, map data in your tables to Statsig fields, and start to automatically ingest precomputed metrics into your project to observe metric shifts for every product update.

To get started, navigate to Metrics from the left-hand navigation panel and click on the Ingestion tab to add new metrics. In addition to ingesting metrics daily, you run an initial backfill to bootstrap your Metrics Catalog and validate that the integration is working as expected. To learn more, visit our documentation for Data Warehouse Ingestion 

You can start ingesting precomputed metrics and raw events from Snowflake, Redshift, and BigQuery today, with support for Databricks coming soon. To request access, please hit us up!


Join the #1 Community for Product Experimentation

Connect with like-minded product leaders, data scientists, and engineers to share the latest in product experimentation.

Try Statsig Today

Get started for free. Add your whole team!

What builders love about us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
CPO
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
We use cookies to ensure you get the best experience on our website.
Privacy Policy