Statsig Warehouse Native vs Statsig Cloud

Add Statsig to your warehouse for end-to-end experimentation including targeting and feature rollouts with holdouts and layers

Statsig Warehouse Native vs Statsig Cloud

Statsig Cloud

  • Statsig hosts your data.
  • Suite of SDKs, APIs, and integrations that allow you to manage assignments and log or import events and exposures.
  • Feature gates, a wide array of analytics tools, and 1 million metered events for free.
  • Suitable for organizations beginning their journey in data-driven experimentation, especially if they are already using other SaaS tools for data and metrics.
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Statsig Warehouse Native

  • Use Statsig’s Stats Engine within your data warehouse to calculate metric lifts using your pre-existing data sets.
  • Use third-party or your own SDKs for feature assignment or opt for Statsig’s SDKs for randomization.
  • Ideal for companies that are privacy-sensitive or already have a robust data team and infrastructure in place.
  • Integrates with various tools like Snowflake, BigQuery, Segment, Redshift, Databricks, etc., and supports a modular approach, allowing you to choose specific capabilities like assignment or experiment analysis.
  • Supports advanced features like multiple unit types, timeseries breakdowns, dimensional breakdowns, custom queries, advanced metrics, and statistical tools.
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Compare head-to-head

Feature/Aspect Statsig Warehouse Native Statsig Cloud
Data Hosting Data is hosted in your own data warehouse. Statsig hosts your data.
Primary Source of Metrics Warehouse is the primary source, ideal for using existing data pipelines and computation. Primary source of metrics comes from Statsig SDKs or CDPs like Segment.
Analysis Needs Flexible analysis on top of existing source of truth metric data. Automated experimentation for every experiment and product launch, especially with metrics from event logging.
Data Team Involvement Necessary for setting up warehouse connection and configuring core metrics. Involvement is optional but recommended for experiment design and readouts.
Costs Includes Statsig license plus costs for computation and storage in your warehouse. Total cost of ownership (TCO) is slightly lower, no warehouse costs involved.
Modularity Modular: Opt for integrated end-to-end platform or select subsets of capabilities. Integrated end-to-end platform covering SDKs for feature rollout, experiment execution, analysis, and readouts.
Integration with Existing Tools Seamless integration with tools like Snowflake, BigQuery, Segment, Redshift, Databricks, etc. Synergy with other SaaS tools for customer data and metrics, like Segment.
Privacy and Security Preferable for organizations with stringent data egress policies. Suitable for organizations with less restrictive data egress policies.
Setup Complexity Requires more initial setup, particularly around data warehouse integration. Easier setup for developers, less initial configuration required.
Experimentation Flexibility Supports advanced experimentation features using pre-existing data sets. Provides a reliable method for creating metrics with less engineering effort.
SDKs Usage Use your own or third-party SDKs for feature assignment; also supports Statsig SDKs. Primarily relies on Statsig SDKs for feature assignment and metrics logging.

A warehouse-native solution for experimentation and analytics

Run Statsig in your data warehouse to run experiment analysis, analytics workflows, and more. Build with our infrastructure, or bring your own solution for assignment

No extra overhead

Bring your existing metric data and exposures. Statsig Warehouse Native runs seamlessly on top of your existing data, giving you instant experiment results from the world's most powerful stats engine

Bring your tools, or use our infra

Love your existing assignment and flagging solution? Feel free to keep it. Otherwise, feel free to leverage our SDK and flagging solution, and write exposures directly into your warehouse

Analytics just got better

Run all your product analytics workflows within your own data warehouse, with data that's seamlessly connected to your experiments and releases
Experimentation

Loved by customers at every stage of growth

See what our users have to say about building with Statsig
OpenAI
"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
SoundCloud
"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
Recroom
"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
SoundCloud
"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
"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
Ancestry
"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
Ancestry
"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
Notion
"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
Notion
"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
Whatnot
"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
Whatnot
"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
Whatnot
"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
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