Decision guide · 2026

Databox vs Whatagraph: The Cost Math Most Agencies Skip

Both tools sell agency-friendly KPI dashboards. The difference at sub-10 clients: ~$5,500/yr. Most agencies default to Whatagraph because it markets harder, then discover Databox's Agency Pro tier covers 90% of the same workflow at one-fourth the price.

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Pricing modeled from public vendor pages and agency review datasets. Verified May 2026.

Quick verdict

Side-by-side

DataboxWhatagraph
Entry priceFree tier real (3 sources, 1 dashboard, 3 users). Pro $159/mo annual. Agency Starter $79/mo annual.No free tier. No public trial. Entry plan ~$625/mo ($7,500/yr) for 50 connections. Sales call required.
Real cost (modeled)Sub-10-client agency: $159/mo (Agency Pro) + $30-$60/mo connectors = ~$2,250/yr. In-house team: $399/mo (Growth) all-in.Sub-10-client agency: $625/mo entry ($7,500/yr). 25-client agency: typically $900-$1,400/mo ($10,800-$16,800/yr) with white-label add-ons.
Where costs hidePer-additional-source charges compound silently ($5.6-$7/mo each). Monthly billing premium ~25% above annual. Premium tier ($799/mo) sold to non-agencies for white-labeling they don't need.Annual contracts are the default — no monthly option at entry tier. Custom domain white-labeling and SLA support gated to higher tiers. Per-client add-ons compound at scale.
Connector library100+ pre-built. Deepest cross-functional coverage (CRM, finance, product, support, ad platforms, social). Native integrations with HubSpot, Stripe, Salesforce, Mixpanel, Mailchimp, Klaviyo.~50 marketing-channel-focused integrations. Deeper paid-media coverage (Meta, Google Ads, LinkedIn, TikTok) than Databox. Thinner CRM, finance, and product coverage.
White-labelingOn Agency Pro ($159/mo) and Premium ($799/mo) for business plans. Agency tier defaults are agency-friendly (client account isolation, branded reports).White-labeling is the default value prop — full custom domain, branded URLs, agency-as-vendor positioning. Tighter polish than Databox's implementation.
AI featuresAI Analyst, anomaly detection, forecast modeling on Growth+ ($399/mo). MCP support shipped — LLM clients can query KPIs directly.Lighter AI surface at parity. Whatagraph has invested in template automation and multi-source data blending more than AI-generated insight.
Ideal customerSub-10-client marketing agencies, freelance consultants, in-house GTM and RevOps teams needing cross-functional KPIs without standing up Looker or Hex.10+ client paid-media-focused agencies, brand studios reporting on multi-channel campaigns, agencies where white-label polish is part of the client deliverable.
When you are wasting moneyAgency on the Business tier instead of Agency tier. Premium ($799/mo) bought for white-labeling by non-agencies. Connectors at 12+ when usage is 5-7.Sub-5-client agency on Whatagraph entry tier ($625/mo). Solo operator forced into entry tier when Databox Agency Starter ($79/mo) covers the workflow.
AI-readiness score (StackSwap lens)76/100 — modeled from stack benchmarks, not a vendor score.61/100 — same lens; use for relative posture, not absolutes.

Deep breakdown

Databox overview

Whatagraph overview

What most teams get wrong

Cost reality

Modeled sub-10-client agency on Databox Agency Pro lands ~$2,250/yr ($159/mo + ~$30-60/mo on connectors past the included sources). Same agency on Whatagraph entry: $7,500/yr. Delta: $5,250/yr — enough to cover an extra freelance hire at 10-15 hours/month for the year.

Modeled 25-client paid-media agency on Whatagraph: typically $900-$1,400/mo ($10,800-$16,800/yr) once white-label add-ons, custom domains, and per-client overages stack. Same agency on Databox Agency Premium ($799/mo annual): $9,588/yr. Delta narrows; Whatagraph's agency UX advantages start earning the premium at this scale.

In-house GTM teams should not be on Whatagraph at all. The pricing assumes agency reseller economics. If you're reporting internally, Databox Pro ($159/mo) or Growth ($399/mo) cover the cross-functional surface — and Whatagraph won't even sell to you cleanly without an agency story to position around.

Before you choose — run your stack

Before committing to a renewal, answer one question: do you white-label client dashboards as part of your deliverable, or are you reporting internally? If the answer is internal, Whatagraph's premium is unjustified — Databox covers the same cross-functional surface at one-third the price.

For agencies, the math depends on client count. Below 10 clients, Databox Agency Pro is the rational pick — same workflow, $5,500/yr saved. Above 10 clients in paid-media-heavy reporting, Whatagraph's polish and integration depth start earning their keep.

StackScan models your full stack and flags the dashboard-tool waste pattern alongside the bigger overlap layers (CRM + MAP + SEP + enrichment) where 60-70% of GTM spend hides. Most agencies that overpay on dashboards also overpay on the broader stack — fix the bigger waste first, then revisit the dashboard layer.

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Final verdict

If you're a sub-10-client agency, freelance consultant, or in-house GTM team running cross-functional KPI dashboards, Databox is the rational pick — Agency Pro at $159/mo covers the workflow with white-labeling, and the connector breadth handles non-marketing sources Whatagraph can't reach cleanly.

If you're a 10+ client paid-media-focused agency where white-label polish is part of the client deliverable and integration depth on Meta + Google Ads + LinkedIn matters more than CRM/finance/product surface, Whatagraph earns the $625/mo+ entry. The single-environment UX and tighter agency defaults justify the premium at this scale.

The provocation: most agencies that buy Whatagraph haven't actually compared TCO at their real client count. They went with the tool that markets harder. Run the math at your specific scale before signing — the $5,500/yr delta at sub-10 clients pays for a meaningful chunk of your operating budget.

Best alternatives & next reads

When both can make sense (rare)

Almost never the right pattern. Some agencies pilot Databox and Whatagraph during evaluation but should pick one within 30 days. Running both for 60+ days means you're paying twice for the same dashboard surface — the savings of either tool individually are gone.

AI-native pressure

Databox is investing harder in AI — AI Analyst, anomaly detection, forecast modeling, MCP support. Whatagraph's AI surface is lighter at parity. For teams that want LLM-queryable KPI access (e.g., Claude, ChatGPT pulling live metrics), Databox is the right shape. For teams that prioritize agency UX and white-labeling polish over AI insight depth, Whatagraph still wins on the operating workflow.

Related comparisons

FAQ

Is Databox really cheaper than Whatagraph for agencies?

Yes for sub-10-client agencies. Databox Agency Pro at $159/mo covers white-labeling, unlimited dashboards, and 5+ client accounts — Whatagraph entry is $625/mo. The $5,500/yr delta narrows above 10 clients where Whatagraph's polish and paid-media integration depth start earning the premium.

Should I buy Whatagraph if I'm not an agency?

No. Whatagraph's pricing assumes agency reseller economics. If you're an in-house GTM or RevOps team, Databox Pro ($159/mo) or Growth ($399/mo) covers your cross-functional KPI dashboard need at a fraction of the cost. Whatagraph won't even sell to you cleanly without an agency positioning to match.

Which one has better integrations?

It depends on what you integrate. Databox has 100+ pre-built connectors covering CRM, finance, product, support, and marketing — broader cross-functional reach. Whatagraph has ~50 connectors, narrower but deeper on Meta + Google Ads + LinkedIn + TikTok. For paid-media-heavy reporting at scale, Whatagraph's integration depth wins. For everything else, Databox's breadth wins.

Can I run both during a migration?

Technically yes, but you shouldn't for more than 30 days. The two tools cover overlapping surface; running both means duplicate connector cost, two dashboard maintenance loads, and team confusion about which is canonical. Pick a target, set a cutover date, and run parallel for at most 4 weeks.

How does StackSwap help reduce dashboard tool spend?

StackScan models your full GTM stack including dashboard tools, surfaces tier mismatches (Premium-without-agency-motion, Whatagraph-without-client-economics), and quantifies recoverable waste. The biggest dashboard-tool waste pattern is buying the wrong tier — usually fixable in one renewal cycle.

Canonical URL: https://stackswap.ai/compare/databox-vs-whatagraph