Sync data from
Snowflake to Statsig
Connect your data from Snowflake to Statsig with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
Trusted by data teams at
Trusted by data teams at
Integrate your data in 3 easy steps
Add your source and destination
Connect to 15+ data sources, like Snowflake, and 150+ destinations, like Statsig.
Define your model
Use SQL or select an existing dbt or Looker model.
Sync your data
Define how fields from your model map to Statsig, and start syncing.
Model your Snowflake data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
Query using looks. Hightouch turns your look into SQL and will pull from your source.
Create and Edit SQL from your browser. Hightouch supports SQL native to Snowflake.
Select available tables and sheets from Snowflake and sync using existing views without having to write SQL.
For less technical users, pass traits and audiences from Snowflake using our visual segmentation builder.
Does this integration support in-warehouse planning?
Yes, if you integerate Snowflake and Statsig using Hightouch, in-warehouse planning is supported.
Great, but what is in-warehouse planning?
Between every sync, Hightouch notices any and all changes in your data model. This allows you to only send updated results to your destination (in this case Statsig). With the baseline setup, Hightouch picks out only the rows that need to be synced by querying every row in your data model before diffing using Hightouch’s infrastructure.
The issue here is this can be slow for large models.
Warehouse Planning allows Hightouch to do this diff directly in your warehouse. Read more on how this works here.
Define user targeting groups in segments for re-use in Feature Gates and Dynamic Configs
Log events to help monitor how your product is performing in real-time
Investigate product usage patterns that can point to further improvements and new product hypotheses from the data in your warehouse
Snowflake is a managed cloud data warehouse that helps you consolidate and aggregate your data into a single, centralized platform to tackle analytics use cases. These workloads include data warehousing, data lakes, data engineering, application development, data sharing, and business intelligence.Learn more about Snowflake
Statsig converts the events from your experiments and application events to deliver trustworthy results. This data infrastructure is designed to capture the precision and scale that you expect from applications with users from thousands to billions of end-users.Learn more about Statsig
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Operational Analytics shifts the focus from simply understanding data to taking action on it in the tools that run business processes. Instead of using dashboards to make decisions, Operational Analytics is focused on turning insights into action – automatically.Read
Activate data to any of your marketing and advertising tools
This might be one of the greatest inventions for technical marketers since the advent of legacy CDPs back in 2015.
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increase in return on ad spend
improvement in email engagement
lift in customer acquisition