Databox Pricing (2026)
It's a hybrid setup gated by data sources and users rather than pure seats — you're paying for how many integrations and dashboards you need to pull business metrics into one view, with price climbing as your data footprint grows. The jump from $71 to $199 signals a metric shift toward more connections and team access, not just feature unlocks.
- Free
- $0/mo
- Analyst
- $71/mo
- Team Popular
- $199/mo
- Custom
- Contact Sales
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Databox has changed its pricing 1 time since we started watching. Last change Sep 19, 2026.
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Free
- Cloud integrations
- AI analyst (Genie)
- Performance summaries
- BI features
- Governed semantic layer
Analyst
- Custom data integrations
- Artifacts
- Pre-built skills
- MCP server
- API access
Team
Popular- Routines
- Custom skills
- Sharing & notifications
- MCP connectors
- Agents (Soon)
- Verify & badge assets
Custom
- We audit your setup
- We design your AI stack
- We build and integrate it
- We optimize it as your needs
- You're live, with an embedded engineer
Does Databox have a free plan?
Yes: the Free plan is free forever, not a time-limited trial. When you outgrow it, paid plans start at $71/mo. Paid tiers also come with a free trial (14 days).
What the free plan includes
- Cloud integrations
- AI analyst (Genie)
- Performance summaries
- BI features
- Governed semantic layer
AI Pricing Analysis
Pricing Model
It's a hybrid setup gated by data sources and users rather than pure seats — you're paying for how many integrations and dashboards you need to pull business metrics into one view, with price climbing as your data footprint grows. The jump from $71 to $199 signals a metric shift toward more connections and team access, not just feature unlocks.
Tier Strategy
Free is a toe-dip for solo users who want a taste of dashboarding with limited sources; Analyst fits a single marketer or ops person consolidating a handful of tools. Team is where things get real — once multiple people need access or you're tracking metrics across more than a few data sources, you're forced up, and Custom exists for orgs that blow past Team's source/user caps entirely.
Competitive Positioning
Databox sits mid-market — pricier than bare-bones dashboard tools but nowhere near BI heavyweights like Domo or Looker. They're clearly chasing small marketing and agency teams who want plug-and-play reporting without hiring an analyst to build it.
Growth Lever
The real paywall is data source count and dashboard/user limits — teams expand because they keep adding tools (ad platforms, CRMs, analytics) that need to feed into one dashboard. The separate Agency plan with client packs is the real expansion engine, monetizing every additional client an agency onboards.
Want the strategist's read on the live page? Read the AI teardown of Databox's pricing page →
Databox Pricing FAQ
- How much does Databox cost?
- Paid plans start at $71/mo, going up to $199/mo for larger teams. There's also an Enterprise tier with custom pricing. You can get started on the free plan before committing.
- Is there a free plan?
- Yes. The "Free" plan is free forever, not just a trial. You get cloud integrations, ai analyst (genie), performance summaries — plus 2 more features. It's enough to evaluate the product before upgrading.
- Can I try it before paying?
- Yes — there's a free trial that lasts 14 days.
- How does the pricing work?
- It's a hybrid setup gated by data sources and users rather than pure seats — you're paying for how many integrations and dashboards you need to pull business metrics into one view, with price climbing as your data footprint grows. The jump from $71 to $199 signals a metric shift toward more connections and team access, not just feature unlocks.
- Is there a discount for annual billing?
- Save 20% with annual billing.
- Which plan makes sense for me?
- Free is a toe-dip for solo users who want a taste of dashboarding with limited sources; Analyst fits a single marketer or ops person consolidating a handful of tools. Team is where things get real — once multiple people need access or you're tracking metrics across more than a few data sources, you're forced up, and Custom exists for orgs that blow past Team's source/user caps entirely.
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