Software · head to head
Looker vs PostHog

PostHog
Software
The single platform to analyze, test, observe, and deploy new features
- From
- Free
- Rated
- -
The short version
- Only PostHog has a free tier, so it costs nothing to try first.
- Each has a real cost: Looker requires annual commitment with no month-to-month billing option; PostHog the free tier covers 1M events, 5K web session recordings and 2.5K mobile recordings per month before usage-based billing starts
- They diverge on capability: Looker covers LookML Data Modeling, PostHog covers Product analytics.
Where they differ
Only the attributes on which Looker and PostHog actually diverge.
Identical on both: user rating (Not yet rated), category (Unknown).
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 Looker
- LookML Data Modeling
- Embedded Analytics
- API Access
- Version Control
- Data Actions
- BigQuery
- Snowflake
- Redshift
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.
Looker
- Business intelligence and interactive dashboards for data-driven decision makingnot PostHog
- Embedded analytics for integrating BI capabilities into third-party applicationsnot PostHog
PostHog
- Product analyticsnot Looker
- Feature experimentationnot Looker
- User behavior trackingnot Looker
- A/B testingnot Looker
- Debug production issuesnot Looker
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Looker
- Requires annual commitment with no month-to-month billing option
- Conversational analytics will incur token overage charges ($3.00 per 1M input tokens, $20.00 per 1M output tokens) after October 1, 2026
PostHog
- The free tier covers 1M events, 5K web session recordings and 2.5K mobile recordings per month before usage-based billing starts
- Accounts without a card on file are limited to 1 project; adding one raises it to 6
- Data retention is 1 year until a card is added, which extends it to 7 years
- Support is community-only until the account is on a paid plan
- Error tracking is capped at 100K exceptions and surveys at 1500 responses per month on the free tier
Pricing, plan by plan
Looker
On requestNo published plan breakdown. See the Looker review.
PostHog
Free- FreeFree
- 1M events/month
- 5K sessions/month
- Unlimited users
- Paid$undefined/month
- $0.00031/event
- $0.005/session
- Advanced permissions
- Enterprise$undefined/month
- SAML SSO
- Advanced security
- Dedicated support
Which should you pick?
Choose Looker if
- You need lookml data modeling.
- You work on Web, Cloud (Google Cloud Platform).
- You also want embedded analytics.
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 Looker or PostHog better?
- Neither clearly leads. Looker starts at On request and PostHog at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Looker or PostHog?
- PostHog has a free tier; the other does not. Paid plans start at On request for Looker and Free for PostHog.
- Does Looker or PostHog run on more platforms?
- Looker runs on Web, Cloud (Google Cloud Platform). PostHog runs on Web, Ios, Android, Api.
- Can I use PostHog for free?
- Yes. PostHog has a free tier, so you can try it without paying. Looker starts at On request.
- What is Looker best used for?
- Looker is most often used for business intelligence and interactive dashboards for data-driven decision making, embedded analytics for integrating bi capabilities into third-party applications. Of those, business intelligence and interactive dashboards for data-driven decision making and embedded analytics for integrating bi capabilities into third-party applications are not what PostHog is typically brought in for.
- What can Looker do that PostHog cannot?
- Looker covers LookML Data Modeling, Embedded Analytics, API Access, Version Control. PostHog covers Product analytics, Session recording, Feature flags, A/B testing.
Related pages
Keep looking
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- PostHog vs Tableau
- PostHog vs Metabase
- PostHog vs Redash
- PostHog vs Fibery
- PostHog vs Apache Superset
- PostHog vs Baserow
- PostHog vs Budibase
- PostHog vs NocoDB
- PostHog vs Asana
- PostHog vs ClickUp
- PostHog vs Figma
- PostHog vs Linear
- 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

