Technology · head to head
Apache Spark vs PostHog
Apache Spark
Technology
A multi-language engine for data engineering, data science, and machine learning
- From
- Free
- Rated
- -

PostHog
Technology
The single platform to analyze, test, observe, and deploy new features
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Apache Spark licensed under Apache License 2.0 per spark.apache.org; as open source software it has no paid tier or vendor price to compare; PostHog the free tier covers 1M events, 5K web session recordings and 2.5K mobile recordings per month before usage-based billing starts
Where they differ
Only the attributes on which Apache Spark and PostHog actually diverge.
| Attribute | Apache Spark | PostHog |
|---|---|---|
| Pricing model | open-source | usage-based |
| Platforms | Web | Web, Ios, Android, Api |
| Founded | Unknown | 2020 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Technology).
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 Apache Spark
Nothing recorded that PostHog does not also cover.
Only in PostHog
- Product analytics
- Session recording
- Feature flags
- A/B testing
- Heatmaps
- SQL access
- Data warehouse
- Apps platform
What people use each for
The jobs each tool is most often brought in to do.
Apache Spark
No use cases recorded yet. See the Apache Spark review.
PostHog
- Product analyticsnot Apache Spark
- Feature experimentationnot Apache Spark
- User behavior trackingnot Apache Spark
- A/B testingnot Apache Spark
- Debug production issuesnot Apache Spark
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Spark
- Licensed under Apache License 2.0 per spark.apache.org; as open source software it has no paid tier or vendor price to compare
- Installation on a laptop requires pip install pyspark or a Docker image per spark.apache.org; there is no hosted single-click deployment offered by the Apache project itself
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
Pricing, plan by plan
Apache Spark
FreeNo published plan breakdown. See the Apache Spark review.
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
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.
Questions people ask
- Is Apache Spark or PostHog better?
- Neither clearly leads. Apache Spark starts at Free and PostHog at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Spark or PostHog?
- Apache Spark starts at Free and PostHog at Free.
- Does Apache Spark or PostHog run on more platforms?
- Apache Spark runs on Web. PostHog runs on Web, Ios, Android, Api.
- Can I use Apache Spark for free?
- Both have a free tier, so you can try either at no cost before committing.
- What can Apache Spark do that PostHog cannot?
- PostHog covers Product analytics, Session recording, Feature flags, A/B testing.
Related pages
More on Apache Spark
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- PostHog vs Asana
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- PostHog vs Monday.com
- PostHog vs Greenhouse
- PostHog vs Notion
- PostHog vs Amplitude
- PostHog vs Datadog
- PostHog vs PyCharm
- PostHog vs Sketch
- PostHog vs Docker
- PostHog vs Netlify
- PostHog vs Okta
- PostHog vs Aha!
- PostHog vs Coda
- PostHog vs Dashlane
- PostHog vs GitHub
