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Snowflake, Redshift, BigQuery Data Warehouse Support
Jun 2025
May 2025
- 🧑🏼🏭 Braze Integration
- 🧮 Unique Values Aggregation
- 📈 Delta Comparison View for Time Series
- 🚢 Experiment Decision Framework
- 📝 Setup Page's New Layout
- 🗂️ Multiple Group-Bys in Funnels
- 📐 Format Y-Axis Units in Time Series Charts
- 📋 Copy Experiment Metrics
- 🕒 Compute Scheduling
- 📊 Experiment Histograms
- 🖥️ Warehouse & Compute Mappings
Apr 2025
- 🚨 Topline Alerts Enhancements
- 🔮 Surrogate Metrics
- 📊 Compare more Groups in Funnels
- 🍩 Donut Chart & World Map 🌍
- 🧭 User Journeys on Warehouse Native
- ✋ Holdout Analysis in Product Analytics
- ⚙️ New Chart Options in Metrics Explorer
- 📊 New Aggregation: Count per User
- 🎯 Cohort Filters on Dashboards
- 💉 CURE (CUPED vNext)
- 📜 Helm Charts for Forward Proxy
Mar 2025
Feb 2025
Jan 2025
- 🐍 Python Server Core
- ⚙️ Custom Metrics in Funnels
- 📊 Distribution Charts++
- 👤 User Profiles
- 🕵Differential Impact Detection
- 💾 Results in your Warehouse
- ☕️ Java Server Core
- ⚔️ Interaction Detection
- ⚙️ Improved Console Settings
- Slicing by frequently used user properties
- Debug Data Ingestion Errors
- 👥 Filtering by User Dimensions in Custom Metrics
Dec 2024
Nov 2024
Oct 2024
- 📋 Dynamic Configs Now Have Templates!
- 🎉 SCIM User Provisioning
- ⏱️WHN Compute Transparency
- ⚡Inline Power Analysis
- 🥇 First-Value metrics
- 🔍 Focused Analysis with Top Group Limits
- 🪵🪄 Log transforms
- ⌚💰📊 Latest value metrics
- 🧲 Group-by in Retention Analysis
- 👯 Cohort analysis in all charts types
- 🔗 Improved Segment Integration
- 📊 Cohort Analysis in Funnels
- 🪜Funnels Now Support Up to 15 Steps
- ⏱️ 2x Funnel Performance Improvements
- 💥 Cross-Environment Feature Gates View
- 🚫 Metrics Update: Deprecating event_dau metric
Sep 2024
Aug 2024
- 🎛️ Dashboard Filters
- 🧠 Experiment Knowledge Base
- 🎓 Meta Analysis : August Release
- 🧲 Retention Overhaul
- ✨🛤️✨User Journeys Overhaul
- 📧 Dashboard PDF Export
- 🚀❤️📊 Statsig <3 Funnels
- 📅 Expanded Chart Granularities and MAU support
- 🕒 Session Analytics Private Beta
- 📋 Custom Experiment Checklist
- 📈 WHN Product Analytics
- 🤖 Bot Filtering
- 🤳 Parameter Stores
Jul 2024
- 📊 Benjamini-Hochberg
- 🔗 Combine Events in Funnel Steps
- 🔍 First-Time Filters in Funnels
- 🌊 Session Streams
- ⌨️ Keyboard Navigation
- 💾 Reusable Cohorts
- 📊 Outlier Detection
- 🕵 Differential Impact Detection
- 🧢 Capped Metrics (WHN)
- 💄 New look and feel on Statsig
- 👩💻 Statsig Managed API Proxy
- 🏠 New Home Experience
- 🧮 Improved Formula Support
- 🎓 Meta Analysis : July release
- 🙋♀️ User Management v2
Jun 2024
May 2024
Apr 2024
Mar 2024
Feb 2024
Jan 2024
Nov 2023
Aug 2023
Jul 2023
Jun 2023
9/1/2022
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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!
Loved by customers at every stage of growth
See what our users have to say about building with Statsig
"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."
Dave Cummings
Engineering Manager, ChatGPT
"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."
Don Browning
SVP, Data & Platform Engineering
"Statsig has been a game changer for how we combine product development and A/B testing. It's made it a breeze to implement experiments with complex targeting logic and feel confident that we're getting back trusted results. It's the first commercially available A/B testing tool that feels like it was built by people who really get product experimentation."
Joel Witten
Head of Data
"We knew upon seeing Statsig's user interface that it was something a lot of teams could use."
Laura Spencer
Chief of Staff
"The beauty is that Statsig allows us to both run experiments, but also track the impact of feature releases."
Evelina Achilli
Product Growth Manager
"Statsig is my most recommended product for PMs."
Erez Naveh
VP of Product
"Statsig helps us identify where we can have the most impact and quickly iterate on those areas."
John Lahr
Growth Product Manager
"The ability to easily slice test results by different dimensions has enabled Product Managers to self-serve and uncover valuable insights."
Preethi Ramani
Chief Product Officer
"We decreased our average time to decision made for A/B tests by 7 days compared to our in-house platform."
Berengere Pohr
Team Lead - Experimentation
"Statsig is a powerful tool for experimentation that helped us go from 0 to 1."
Brooks Taylor
Data Science Lead
"We've processed over a billion events in the past year and gained amazing insights about our users using Statsig's analytics."
Ahmed Muneeb
Co-founder & CTO
"Leveraging experimentation with Statsig helped us reach profitability for the first time in our 16-year history."
Zachary Zaranka
Director of Product
"Statsig enabled us to test our ideas rather than rely on guesswork. This unlocked new learnings and wins for the team."
David Sepulveda
Head of Data
"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."
Karandeep Anand
President
"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."
Partha Sarathi
Director of Engineering
"Statsig has enabled us to quickly understand the impact of the features we ship."
Shannon Priem
Lead PM
"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."
Partha Sarathi
Director of Engineering
"Working with the Statsig team feels like we're working with a team within our own company."
Jeff To
Engineering Manager
"[Statsig] enables shipping software 10x faster, each feature can be in production from day 0 and no big bang releases are needed."
Matteo Hertel
Founder
"We use Statsig's analytics to bring rigor to the decision-making process across every team at Wizehire."
Nick Carneiro
CTO
"We've successfully launched over 600 features behind Statsig feature flags, enabling us to ship at an impressive pace with confidence."
Wendy Jiao
Staff Software Engineer
"We chose Statsig because it offers a complete solution, from basic gradual rollouts to advanced experimentation techniques."
Carlos Augusto Zorrilla
Product Analytics Lead
"We have around 25 dashboards that have been built in Statsig, with about a third being built by non-technical stakeholders."
Alessio Maffeis
Engineering Manager
"Statsig beats any other tool in the market. Experimentation serves as the gateway to gaining a deeper understanding of our customers."
Toney Wen
Co-founder & CTO
"We finally had a tool we could rely on, and which enabled us to gather data intelligently."
Michael Koch
Engineering Manager
"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."
Mengying Li
Data Science Manager
"Excited to bring Statsig to Whatnot! We finally found a product that moves just as fast as we do and have been super impressed with how closely our teams collaborate."
Rami Khalaf
Product Engineering Manager
"We realized that Statsig was investing in the right areas that will benefit us in the long-term."
Omar Guenena
Engineering Manager
"Having a dedicated Slack channel and support was really helpful for ramping up quickly."
Michael Sheldon
Head of Data
"Statsig takes away all the pre-work of doing experiments. It's really easy to setup, also it does all the analysis."
Elaine Tiburske
Data Scientist
"We thought we didn't have the resources for an A/B testing framework, but Statsig made it achievable for a small team."
Paul Frazee
CTO
"With Warehouse Native, we add things on the fly, so if you mess up something during set up, there aren't any consequences."
Jared Bauman
Engineering Manager - Core ML
"In my decades of experience working with vendors, Statsig is one of the best."
Laura Spencer
Technical Program Manager
"Statsig is a one-stop shop for product, engineering, and data teams to come together."
Duncan Wang
Manager - Data Analytics & Experimentation
"Engineers started to realize: I can measure the magnitude of change in user behavior that happened because of something I did!"
Todd Rudak
Director, Data Science & Product Analytics
"For every feature we launch, Statsig saves us about 3-5 days of extra work."
Rafael Blay
Data Scientist
"I appreciate how easy it is to set up experiments and have all our business metrics in one place."
Paulo Mann
Senior Product Manager