Software Alternatives, Accelerators & Startups

Open Web Analytics VS PostHog

Compare Open Web Analytics VS PostHog and see what are their differences

Open Web Analytics logo Open Web Analytics

Open Web Analytics - Web Analytics – Open Source Web Analytics Framework

PostHog logo PostHog

An open source suite of product and data tools including product analytics, feature flags, session replay, A/B testing, surveys, and more.
  • Open Web Analytics Homepage
    Homepage //
    2024-08-20
  • PostHog Landing page
    Landing page //
    2024-07-05

For developers just starting out, PostHog is a free way to understand how your product is being used, without having to send any data to 3rd parties.

For enterprise customers, one data security becomes a key concern, or B2C businesses where using a SaaS solution is unaffordable, it's typical to see teams hosting an event capture platform, a data lake, and sophisticated analytics tools. The end result is that data scientists are needed and most developers don't have easy access to product intel. PostHog solves that gap - it lets everyone understand how your product is being used, without having to send data to 3rd parties, even once you have scaled to millions of visitors.

It has a JS snippet that can autocapture events, and pre-built libraries to push backend data to. Build up full user histories, visualize product trends, funnels, and run experiments with new features.

Open Web Analytics

Pricing URL
-
$ Details
Release Date
-
Startup details
Country
United States

PostHog

$ Details
freemium
Release Date
2020 January
Startup details
Country
United States
State
California
Founder(s)
James Hawkins, Tim Glaser
Employees
20 - 49

Open Web Analytics features and specs

  • Open Source
    As an open-source platform, Open Web Analytics (OWA) allows users to access and modify the source code according to their needs, providing full control over the functionality and customization.
  • Cost-Effective
    OWA is free to use, which can be very cost-effective compared to paid analytics platforms, making it suitable for small businesses and personal projects.
  • Self-Hosting
    The ability to host OWA on your own server ensures complete data ownership and control, eliminating concerns around data privacy and third-party access.
  • Comprehensive Features
    OWA offers a wide range of features including page view tracking, e-commerce tracking, visitor tracking, and click heatmaps, which can provide in-depth insights into website performance.
  • Integrations
    OWA allows integration with other platforms such as WordPress and MediaWiki, making it versatile for various types of websites.

Possible disadvantages of Open Web Analytics

  • Technical Barrier
    Setting up and maintaining OWA can require a certain level of technical expertise, which might be challenging for users without a technical background.
  • Resource Intensive
    Operating OWA on your own server can consume significant server resources, affecting the performance of the website, especially for high-traffic sites.
  • Complexity
    The extensive features and customization options can make OWA complex to navigate and configure, which can be overwhelming for beginners.
  • Limited Support
    As an open-source project, OWA lacks the comprehensive customer support available with commercial products, meaning users might have to rely on community forums and documentation for troubleshooting.
  • Updates and Security
    The frequency and reliability of updates might be a concern, as well as ensuring that the software remains secure against vulnerabilities, requiring constant monitoring and maintenance.

PostHog features and specs

  • Self-Hosting Option
    PostHog can be self-hosted, allowing you to maintain control over your data and ensuring compliance with strict data privacy regulations.
  • Complete Analytics Suite
    Provides a complete suite of product analytics tools including feature flags, session recordings, and heatmaps, enabling comprehensive user behavior analysis.
  • Open-Source
    Being open-source, PostHog allows for high customizability and the potential to contribute to the codebase, fostering a community-driven development approach.
  • Privacy-Focused
    Designed with privacy in mind, PostHog globally complies with GDPR, CCPA, and other privacy laws, reducing the risk of legal complications.
  • Event-Driven Architecture
    Its event-driven architecture provides high flexibility in tracking custom events, allowing for more detailed and tailored analytics.
  • Integrations
    PostHog integrates with a variety of tools and services such as Slack, GitHub, and Zapier, streamlining workflows and enhancing productivity.

Possible disadvantages of PostHog

  • Resource Intensive for Self-Hosting
    Self-hosting PostHog can be resource-intensive, requiring significant server capacity and management effort.
  • Complex Setup
    The initial setup, especially for self-hosting, can be complex and may require a good understanding of Docker and Kubernetes.
  • Learning Curve
    Due to its extensive features and capabilities, there can be a steep learning curve for new users or teams to fully leverage PostHog's capabilities.
  • Limited Pre-Made Integrations
    While it supports custom integrations, the number of pre-made integrations is limited compared to some commercial analytics platforms.
  • Cost for Additional Features
    Advanced features and enterprise-level support come at a premium, which might be costly for smaller companies or startups.
  • Less Mature Community and Documentation
    Compared to established analytics platforms, PostHog's community and documentation are still growing, which might limit available resources and support.

Analysis of Open Web Analytics

Overall verdict

  • Open Web Analytics is a good choice for users who prefer open-source solutions and want full control over their analytics data. Its ease of integration and extensive customization options make it suitable for a variety of use cases. However, it might not be the best choice for users looking for advanced features and technical support often found in premium analytics tools like Google Analytics.

Why this product is good

  • Open Web Analytics (OWA) is a popular open-source web analytics tool that provides comprehensive tracking and reporting capabilities. It is valued for its flexibility and ability to host data on your own server, ensuring data privacy and security. OWA supports tracking for multiple websites and integrates well with various content management systems such as WordPress. Its extensibility allows developers to customize and enhance its functionality to suit specific business needs.

Recommended for

  • Small to medium businesses that prefer self-hosted solutions.
  • Developers or IT teams that require custom analytics implementations.
  • Privacy-conscious users who want full control over their data.
  • Educational institutions or non-profits looking for free analytics tools.

Analysis of PostHog

Overall verdict

  • Yes, PostHog is a robust and versatile analytics tool. Its open-source nature, coupled with a rich feature set comparable to major analytics platforms, makes it an excellent choice for teams looking for an in-depth and customizable analytics solution.

Why this product is good

  • PostHog is a full-featured analytics platform that provides powerful tools for product teams to understand user behavior without sending data to third parties. It offers features such as event tracking, session recording, feature flags, and heatmaps, making it a comprehensive solution for product analytics. The platform is open-source, allowing for customization and self-hosting, which is a significant advantage for teams with specific needs or concerns about data privacy.

Recommended for

    PostHog is particularly well-suited for product teams, developers, and startups that require deep insights into user interactions and need the flexibility of a self-hosted solution. It is also a good fit for organizations that prioritize data privacy and want to maintain full control over their data.

Open Web Analytics videos

Open Web Analytics | You Need to Watch This Video

More videos:

  • Tutorial - Open Web Analytics - How to Install OWA WordPress Plugin

PostHog videos

PostHog Walk Through

More videos:

  • Review - Open Source Product Analytics With PostHog

Category Popularity

0-100% (relative to Open Web Analytics and PostHog)
Analytics
46 46%
54% 54
Web Analytics
48 48%
52% 52
Mobile Analytics
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Open Web Analytics and PostHog

Open Web Analytics Reviews

Top 5 Self-Hosted, Open Source Alternatives to Google Analytics
Open Web Analytics offers a comprehensive set of features, rivaling commercial analytics tools, with the flexibility of open source.
Source: zeabur.com
Top 5 open source alternatives to Google Analytics
In addition to the usual raft of analytics and reporting functions, Open Web Analytics tracks where on a page, and on what elements, visitors click; provides heat maps that show where on a page visitors interact the most; and even does e-commerce tracking.
Source: opensource.com
Best Google Analytics Alternatives
Open Web Analytics ranks over Google due its self hosting property and additional features like Heatmap, DOM clicks tracking and mouse movement (recording and playback) tracking.
Source: mofluid.com
The 11 Best Alternatives to Google Analytics
Open Web Analytics is feature-rich, especially considering that it’s free to use. It can track goals along several steps of a conversion funnel, it offers separate stats filtered by pretty much any factor you can think of and it even offers heatmaps and mouse-tracking. However, be warned: with those last two options active, OWA will gobble up server resources like nobody’s...

PostHog Reviews

The best Hotjar alternatives & competitors, compared
According to BuiltWith, as of February 2024, PostHog is used on 5,169 (0.52%) of the top 1 million websites. Hotjar is used by 72,048 of the top 1 million websites. Typical PostHog users are engineers and product managers at startups and mid-size companies, such as Webshare, AssemblyAI, and Purplewave.
Source: posthog.com
The 8 best free and open-source feature flag services
BlogBackSign inBlogThe 8 best free and open-source feature flag servicesPosted byThe best open-source feature flag tools1. PostHogWhat is PostHog?Supported librariesHow much does it cost?2. UnleashWhat is Unleash?Supported SDKsHow much does it cost?3. GrowthBookWhat is GrowthBook?Supported SDKsHow much does it cost?4. FlagsmithWhat is Flagsmith?Supported SDKsHow much does it...
Source: posthog.com

Social recommendations and mentions

Based on our record, PostHog seems to be more popular. It has been mentiond 73 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Open Web Analytics mentions (0)

We have not tracked any mentions of Open Web Analytics yet. Tracking of Open Web Analytics recommendations started around Mar 2021.

PostHog mentions (73)

  • I built an AI IDE that shows you exactly what it sends to the model
    What it deliberately does not have: accounts, cloud sync, a marketplace, Or any paywall. Telemetry is opt-in, off by default, anonymous, and collects Zero content — the endpoint is configurable if you'd rather self-host PostHog. It's free software, and it will stay that way. - Source: dev.to / about 1 month ago
  • Opus vs GPT on Real Ops, Part 2: One Drove, One Was Driven
    Opus, zero nudges. Realised on its own that an abandoned signup never fires identify, triangulated the anonymous session from time, platform and registration events, decoded the PostHog replay blobs, confirmed the duplicate account in Supabase, proved the reset email never sent, and pulled the root cause out of an unmasked DOM field. One prompt in; root cause out. - Source: dev.to / about 2 months ago
  • Why We Open-Sourced Our Audit Logging Instead of Using Splunk
    This is the same model that PostHog, Supabase, and dozens of other developer tools use. Open core, with a managed offering on top. - Source: dev.to / 5 months ago
  • What Is Web3 User Analytics? A Complete Guide to Driving Growth
    Offchain: Website traffic, in-app behaviour, marketing channels, growth campaigns (Google Analytics or PostHog). - Source: dev.to / 4 months ago
  • Validating Your Startup Idea with a Landing Page, Waitlist, and Stripe Test Mode in One Weekend
    --- Title: "Validate Your Startup Idea in One Weekend: Next.js + PostHog + Stripe Test Mode" Published: true Description: "A step-by-step workshop for wiring up a landing page with analytics, a waitlist, and Stripe test-mode checkout to measure real willingness-to-pay before writing product code." Tags: typescript, api, architecture, cloud Canonical_url:... - Source: dev.to / 5 months ago
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What are some alternatives?

When comparing Open Web Analytics and PostHog, you can also consider the following products

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.

Matomo - Matomo is an open-source web analytics platform

Amplitude - Chart Your Path to Growth with Digital Analytics

Clicky - Clicky Web Analytics is a simple way to monitor, analyze, and react to your blog or web site's traffic in real time.

Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure 🇪🇺