Statsig and PostHog Compared

What is Statsig?

Statsig is an advanced data platform designed for technical teams, offering a comprehensive suite of tools including feature flagging, product analytics, A/B testing, web analytics, and session replay. The platform caters to startups, enterprises, and top tech companies like OpenAI, Atlassian, and Notion, enabling them to optimize product performance and scale their experimentation efforts.

Statsig's key features include:

• Feature Flags: Advanced feature management capabilities, including release automation, scheduled progressive rollouts, and advanced targeting.

• Product Analytics: User funnels, user journeys, metric drilldowns, and more, allowing teams to analyze the impact of rollouts and experiments.

• A/B Testing: A sophisticated experimentation solution trusted by industry leaders, with advanced statistical methods and customizable settings.

• Web Analytics: A single snippet integration to start collecting and analyzing website data.

• Session Replay: The ability to re-watch user sessions and filter them based on specific criteria.

TL;DR: Statsig is a tool that's well-suited for technical teams looking to optimize their products through experimentation and data-driven insights. It offers a comprehensive set of features that scale with a company's growth.

What is PostHog?

PostHog is an open-source product analytics platform that helps companies understand user behavior and make data-driven decisions. The platform is designed to assist product teams, developers, and data analysts in gaining insights into how users interact with their web and mobile applications. By providing a comprehensive set of tools, PostHog enables teams to identify areas of friction, test new features, and optimize user experience.

PostHog's suite of features includes:

• Product analytics: Track events, visualize user journeys, and analyze retention and stickiness

• Session recording: Replay user sessions to identify pain points and improve UX

• Feature flags: Test new features with minimal risk and roll out changes gradually

• A/B testing: Experiment with different variations of your product to optimize performance

• Surveys: Gather user feedback directly within your application

PostHog's open-source model and extensive documentation make it an attractive choice for developers who prefer flexibility and control over their analytics stack. The platform offers a generous free tier, making it accessible to startups and small businesses, while also providing enterprise-level features and support for larger organizations.

TL;DR: PostHog is a product analytics tool that's well-suited for product teams, developers, and data analysts. However, its open-source nature may require more technical expertise to set up and maintain compared to fully managed solutions.

Integrations comparison

Statsig offers integrations with various tools and platforms, enabling seamless data flow and streamlined workflows. Their integrations span across categories such as data warehouses, customer data platforms, analytics tools, and more. Notable integrations include Segment, Snowflake, and Amplitude, allowing users to leverage existing data and tools within the Statsig platform.

PostHog, being an open-source platform, allows for custom integrations and flexibility in integrating with existing tools and workflows. While they offer some pre-built integrations, the open-source nature of PostHog enables users to build their own integrations tailored to their specific needs. This can be advantageous for companies with unique requirements or those looking to maintain full control over their data and integrations.

TL;DR: Statsig and PostHog's integrations are both well-suited for companies looking to streamline their data workflows and leverage existing tools. However, PostHog's open-source nature may require more technical resources to build and maintain custom integrations.

Pricing comparison

Statsig follows a usage-based pricing model, offering a generous free tier and volume discounts for enterprise customers. The free "Developer Tier" includes unlimited feature flags and 2 million events per month. Statsig's "Pro Tier" starts at $150/month for 5 million events, with additional events charged at $50 per million.

PostHog also offers a free tier with usage-based pricing for additional features and volume, making it accessible for startups and small businesses. PostHog charges based on monthly usage for each product, such as $0.00005 per event after the first 1 million free events. Pricing scales down with increased volume across all products.

We created a resource for comparing monthly prices for some of the most popular product analytics tools - including PostHog. Check it out here!

TL;DR: Statsig and PostHog's pricing are both well-suited for startups and companies looking to scale their experimentation practices. However, Statsig's pricing offers more flexibility and cost savings for high-volume enterprise customers.

The bottom line: Key differences between Statsig and PostHog

Statsig's platform is built for technical teams who need advanced experimentation and analytics capabilities. It offers enterprise-grade infrastructure, a sophisticated stats engine, and bundled products that scale with customers as they grow. Statsig processes over 250 billion events per day and maintains a 99.99% uptime for its API and Console.

PostHog's open-source model and generous free tier make it an attractive choice for early-stage startups and companies with limited budgets. However, as companies scale and require more advanced features, dedicated support, and enterprise-level performance, Statsig becomes the clear choice. Statsig's pricing remains transparent and usage-based, ensuring that teams can be data-driven without seat limitations or MAU-based pricing.

Companies choose Statsig for its unparalleled customer support, which includes dedicated engineers who work directly with customers. Statsig's modern platform is easy to use and offers advanced capabilities like CUPED, stratified sampling, and switchback tests. With a wide range of integrations and a focus on experimentation, Statsig empowers teams to ship faster and foster a culture of data-driven decision-making.