Technology · head to head
PostHog vs Ray

PostHog
Technology
The single platform to analyze, test, observe, and deploy new features
- From
- Free
- Rated
- -
The short version
- Each has a real cost: PostHog the free tier covers 1M events, 5K web session recordings and 2.5K mobile recordings per month before usage-based billing starts; Ray windows support is beta and multi node Ray clusters are untested on Windows
- They diverge on capability: PostHog covers Product analytics, Ray covers Distributed computing.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which PostHog and Ray actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in PostHog
- Product analytics
- Session recording
- Feature flags
- A/B testing
- Heatmaps
- SQL access
- Data warehouse
- Apps platform
Only in Ray
- Distributed computing
- Ray Train
- Ray Tune
- RLlib
- Ray Serve
- PyTorch
- TensorFlow
- Hugging Face
What people use each for
The jobs each tool is most often brought in to do.
PostHog
- Product analyticsnot Ray
- Feature experimentationnot Ray
- User behavior trackingnot Ray
- A/B testingnot Ray
- Debug production issuesnot Ray
Ray
- Distributed AI model training and servingnot PostHog
- Large-scale data processingnot PostHog
- Reinforcement learning workloadsnot PostHog
- ML inference servingnot PostHog
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
PostHog
- The free tier covers 1M events, 5K web session recordings and 2.5K mobile recordings per month before usage-based billing starts
- Accounts without a card on file are limited to 1 project; adding one raises it to 6
- Data retention is 1 year until a card is added, which extends it to 7 years
- Support is community-only until the account is on a paid plan
- Error tracking is capped at 100K exceptions and surveys at 1500 responses per month on the free tier
Ray
- Windows support is beta and multi node Ray clusters are untested on Windows
- Windows lacks copy on write forking, which raises memory requirements, and Ray code assumes UNIX filenames
- Multi node clusters are untested on Apple Silicon Macs
- The Java API is experimental and community supported only, and requires matching Java and Python versions
- Python 3.13 support is beta
Pricing, plan by plan
PostHog
Free- FreeFree
- 1M events/month
- 5K sessions/month
- Unlimited users
- Paid$undefined/month
- $0.00031/event
- $0.005/session
- Advanced permissions
- Enterprise$undefined/month
- SAML SSO
- Advanced security
- Dedicated support
Ray
Free- Open SourceFree
- Full Ray framework
- All libraries
- Community support
- Anyscale PlatformFree
- Managed infrastructure
- Enterprise support
- SLAs
Which should you pick?
Choose PostHog if
- You need product analytics.
- You want to start without paying.
- You work on Web, Ios, Android, Api.
- You also want session recording.
Choose Ray if
- You need distributed computing.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want ray train.
Questions people ask
- Is PostHog or Ray better?
- Neither clearly leads. PostHog starts at Free and Ray at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, PostHog or Ray?
- PostHog starts at Free and Ray at Free.
- Does PostHog or Ray run on more platforms?
- PostHog runs on Web, Ios, Android, Api. Ray runs on Linux, Mac, Windows.
- Can I use PostHog for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is PostHog best used for?
- PostHog is most often used for product analytics, feature experimentation, user behavior tracking, a/b testing. Of those, product analytics and feature experimentation are not what Ray is typically brought in for.
- What can PostHog do that Ray cannot?
- PostHog covers Product analytics, Session recording, Feature flags, A/B testing. Ray covers Distributed computing, Ray Train, Ray Tune, RLlib.
Answered from the vendors’ own pages
PostHog: What does PostHog's free tier include per month?
PostHog free tier includes: 1M analytics events, 5K session replays, 1M feature flag requests, 100K error tracking exceptions, 1,500 survey responses, 1M data warehouse rows, 10K data pipeline events, 100K AI observability events, 500 PostHog AI credits, 10K workflow messages, and 10GB log ingestion. Source: https://posthog.com/pricing
SourceRay: Is Ray free?
Yes. Ray is free and open source software with over 34,800 GitHub stars and 1,000+ contributors. Users can download and use the Ray framework at no cost.
SourcePostHog: How much data retention does PostHog provide on paid plans?
PostHog free tier provides 1-year data retention. Pay-as-you-go plans offer 7-year data retention across all projects, enabling longer historical analysis. Source: https://posthog.com/pricing
SourceRay: Is there a paid option for Ray?
Yes. Anyscale, the managed platform built by Ray's creators, offers paid tiers with enterprise features like governance and advanced tooling. Specific Anyscale pricing details are not listed on the Ray website.
SourcePostHog: What percentage of PostHog users stay on the free tier?
PostHog states that 97% of companies use PostHog for free, indicating extensive free tier adoption. However, specific per-unit pricing rates for overages on paid plans are not published. Source: https://posthog.com/pricing
SourceRay: Can I try Ray with credits?
Yes. New users can try Ray with $100 credit on Anyscale's managed platform to explore the service.
SourcePostHog: When does PostHog provide priority support on paid plans?
PostHog provides email or Slack support for accounts exceeding $2,000/month on pay-as-you-go plans. Specific response times and support SLAs are not detailed on their pricing page. Source: https://posthog.com/pricing
SourceRelated pages
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- Ray vs Mixpanel
- Ray vs Amplitude
- Ray vs LaunchDarkly
- Ray vs Heap
- Ray vs ClickUp
- Ray vs Asana
- Ray vs Figma
- Ray vs Linear
- Ray vs GitHub
- Ray vs LogRocket
- Ray vs Plane
- Ray vs Storybook
- Ray vs Microsoft Edge
- Ray vs Netlify
- Ray vs Productboard
- Ray vs Sentry
- Ray vs Trino
- Ray vs Aha!
- Ray vs Google Vertex AI
- Ray vs AWS SageMaker
- Ray vs Azure Machine Learning
- Ray vs DataRobot
- Ray vs Milvus
- Ray vs Pinecone
- Ray vs H2O.ai
- Ray vs Dask
- Ray vs Apache Spark MLlib
- Ray vs Weaviate
- Ray vs TensorFlow
- Ray vs LangChain
- Ray vs Dataiku
- Ray vs KNIME
- Ray vs Palantir Foundry
- Ray vs Python

