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Software · head to head

DuckDB vs PostHog

DuckDB logo

DuckDB

Software

Fast in-process analytical database

From
Free
Rated
-
Full reviewWebsite
PostHog logo

PostHog

Software

The single platform to analyze, test, observe, and deploy new features

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DuckDB client-server setup remains in beta and not recommended for production distributed scenarios; 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: DuckDB covers In-process Execution, PostHog covers Product analytics.

Where they differ

Only the attributes on which DuckDB and PostHog actually diverge.

Attributes where DuckDB and PostHog differ
AttributeDuckDBPostHog
Pricing modelopen-sourceusage-based
PlatformsLinux, macOS, Windows, WebAssemblyWeb, Ios, Android, Api
Founded20192020

Identical on both: starting price (Free), free tier (Yes), 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 DuckDB

  • In-process Execution
  • Columnar Storage
  • Vectorized Execution
  • Rich SQL Support
  • Parquet Support
  • CSV/JSON Import
  • Zero Dependencies
  • Python

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.

DuckDB

  • Analytics and data warehousingnot PostHog
  • OLAP queries and data explorationnot PostHog
  • Data science and machine learning workflowsnot PostHog
  • Multi-format data ingestion and processingnot PostHog

PostHog

  • Product analyticsnot DuckDB
  • Feature experimentationnot DuckDB
  • User behavior trackingnot DuckDB
  • A/B testingnot DuckDB
  • Debug production issuesnot DuckDB

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DuckDB

  • Client-server setup remains in beta and not recommended for production distributed scenarios

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

DuckDB

Free

No published plan breakdown. See the DuckDB 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 DuckDB if

  • You need in-process execution.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, WebAssembly.
  • You also want columnar storage.
DuckDB review

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.
PostHog review

Questions people ask

Is DuckDB or PostHog better?
Neither clearly leads. DuckDB 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, DuckDB or PostHog?
DuckDB starts at Free and PostHog at Free.
Does DuckDB or PostHog run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. PostHog runs on Web, Ios, Android, Api.
Can I use DuckDB for free?
Both have a free tier, so you can try either at no cost before committing.
What is DuckDB best used for?
DuckDB is most often used for analytics and data warehousing, olap queries and data exploration, data science and machine learning workflows, multi-format data ingestion and processing. Of those, analytics and data warehousing and olap queries and data exploration are not what PostHog is typically brought in for.
What can DuckDB do that PostHog cannot?
DuckDB covers In-process Execution, Columnar Storage, Vectorized Execution, Rich SQL Support. PostHog covers Product analytics, Session recording, Feature flags, A/B testing.
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