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Frequently Asked Questions

A curated summary of the top questions asked on our Slack community, often relating to implementation, functionality, and building better products generally.
Statsig FAQs
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GENERAL

How can I sync Statsig exposure events to our Redshift data warehouse without using Stitch?

Date of slack thread: 5/16/24

Anonymous: do you have any suggestions for a good way of syncing statsig exposure events to our data warehouse. right now we are using stitch but it seems to really be slowing down our data warehouse. wondering if building a different solution would be more performant

Anonymous: i think we want something to get data out of statsig not into statsig

Anonymous: <@U03TVG1MD9R> any ideas?

Kenny Yi (Statsig): Hey Robbie, are you referring to our in-house Stitch webhook integration? Or using Stitch directly with Statsig as a source? We do have some in-house integrations to export exposure events directly to a warehouse. You can find them under the Project Settings -> Integrations tab in our UI. Which warehouse are you using?

Anonymous: redshift

Anonymous: i dont see a sync from statsig -> redshift

Kenny Yi (Statsig): Hey Robbie, unfortunately we do not currently support exporting to Redshift. I don’t think it’s in our plans to build one in the near future. Not sure if you’re already aware, but we do offer a warehouse native solution to Statsig https://docs.statsig.com/statsig-warehouse-native/native-vs-cloud

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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.
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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.
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Karandeep Anand
President
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.
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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.
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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.
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Partha Sarathi
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