Databox vs PostHog Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

Databox PostHog
Starts at $64/mo Custom
Number of plans 5 2
Free plan
Free trial
Pricing model hybrid usage-based

Free

$0/mo
  • Cloud integrations
  • BI features (limited*)

Analyst

$64/mo
  • All integrations
  • BI features
  • Datasets
  • MCP server & API

Pro

$159/mo
  • All integrations
  • BI features
  • MCP server & API
  • Sharing & Notifications
  • Datasets (limited*)

Growth

Popular
$399/mo
  • Datasets
  • 15-min sync*
  • Forecasting
  • Sub-accounts
  • Dedicated CSM

Custom

Custom
  • White-labeling
  • Advanced security
  • Single sign-on (SSO)
  • Account setup
  • Priority support

Free

$0/mo
  • Generous free monthly tier
  • Community support
  • 1 project, 1-year data retention
  • Unlimited team members

Pay-as-you-go

$0/mo
  • Generous free monthly tier
  • Usage-based pricing
  • Standard support
  • Unlimited team members
  • No limits on tracked users
  • API access
  • Google, Github, and Gitlab SSO

Databox vs PostHog FAQ

Which one is cheaper?
One or both use custom pricing, so it depends on your specific needs.
Can I use either one for free?
Both offer free plans, so you can try each without paying. Start with whichever fits your workflow better and upgrade when you hit the limits.
How do they charge?
Different approach here. Databox uses hybrid pricing, while PostHog goes with usage-based. That changes the math depending on your team size and usage.
Which one is a better deal?
Depends on what you need. Databox: Databox sits in the mid-market of the BI/dashboard space — more accessible than Tableau or Looker, but priced above lightweight tools like Whatagraph or Klipfolio's entry tiers. They're going after marketing and ops teams who want pre-built integrations and speed-to-insight without a data engineering team. PostHog: PostHog is aggressively undercutting Mixpanel and Amplitude on price while bundling more tools (feature flags, session replay, A/B testing) into one platform. They're going after product-led growth companies that don't want to stitch together five point solutions at enterprise prices.

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