Experiment definitions
Every experiment with its configuration and referenced metrics.
Polytomic connects Statsig to your data warehouse, databases, and SaaS tools for experimentation configuration ETL. Replicate experiments, feature gates, dynamic configs, layers, and segments into your data warehouse and other systems so your experiment programme can be audited and reported on, without writing code.
Every experiment with its configuration and referenced metrics.
Gate configuration including targeting rules, not just names.
The structure around experiments, so overlap can be reasoned about.
Replicate Statsig experiment configuration into your data warehouse
Statsig is supported as a source. Read experimentation configuration and land it in your data warehouse, databases, or SaaS tools.
Connect Statsig with a console API key and Polytomic reads your experimentation configuration into your data warehouse: experiments, feature gates, dynamic configs, layers, holdouts, segments, autotunes, and console users.
Be clear about what this covers. It is the configuration layer, meaning what has been set up and how, rather than exposure records, event streams, or computed experiment results. Those stay in Statsig's own analysis.
Authentication is a Statsig console API key. Once connected, the experiment, gate, config, layer, holdout, segment, autotune, and user objects appear for selection.
See the documentation for full setup details.
Set up and manage syncs without writing code.
Use SQL to define exactly what data gets synced.
Supports large datasets with incremental syncs and bulk APIs.
No credit card required. Free trial available.