Databox vs Whatagraph
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentWhatagraph compared with Databox
Databox comes at the same problem from the KPI dashboard direction rather than the client report direction, with a usable free tier, a large metric template library, and goal tracking that is stronger for in-house teams watching numbers daily. Whatagraph is better at multi-client white-labeled deliverables and at modeling data before it is charted. A small business wanting to watch its own KPIs should start with Databox; an agency producing branded monthly reports for many clients should not.
Choose Databox if
Small and mid-sized businesses and marketing agencies who want one self-updating board covering marketing, sales, and revenue metrics, delivered automatically to clients, executives, and Slack, without building anything or hiring an analyst.
Choose Whatagraph if
Marketing agencies and multi-brand or multi-location in-house teams running roughly 50 or more connected data accounts, that want cross-channel client reporting and a governed shared data layer from one vendor and can commit to an annual contract in the five-figure range.
Side by side
13 attributes| Attribute | Databox | Whatagraph |
|---|---|---|
| Category | Analytics | Reporting |
| Starting price | $0 (Free), then $64 per month billed annually (Analyst) (free plan available) | From 699 euros per month, billed annually (Max, from 50 source credits) (free trial) |
| Pricing model | Freemium, with paid tiers priced by the number of connected data sources plus per-source overage, differentiated by sync frequency, dataset capability, and included features rather than by data volume. | Annual subscription priced by source credits, where one connected data account equals one credit. Users, reports, and dashboards are unlimited on every plan, so cost scales with the number of client accounts and channels rather than with headcount. As of August 2026 the pricing page publishes two tiers: Max and a quote-only Prime. |
| Free plan | Free forever with 3 data sources, 1 user, 1 dashboard, 10 custom metrics, 50 monthly AI credits, cloud integrations, anomaly detection, and basic sharing. | No |
| Free trial | 14 days, no credit card required | Free trial available on the Max plan (length not published) |
| Best for | Small and mid-sized businesses and marketing agencies who want one self-updating board covering marketing, sales, and revenue metrics, delivered automatically to clients, executives, and Slack, without building anything or hiring an analyst. | Marketing agencies and multi-brand or multi-location in-house teams running roughly 50 or more connected data accounts, that want cross-channel client reporting and a governed shared data layer from one vendor and can commit to an annual contract in the five-figure range. |
| Setup time | An hour to a first useful board: connect two or three sources, apply a prebuilt template, and share it. A full agency setup with sub-accounts, custom metrics, and datasets across a dozen clients is a week of design work. | A first client report can be built in an afternoon from a template. Doing it properly across a portfolio takes longer: field mapping, custom metric definitions, account grouping, and template design are a one-to-three week project for an agency with dozens of clients, and that work is the source of most of the eventual value. |
| Learning curve | Low. The dashboard designer is drag-and-drop, templates cover the common cases, and the concepts are metrics and goals rather than dimensions and scopes. Datasets are the only piece that requires real thought, because blending across sources means deciding which definitions win. | Moderate. The report builder is approachable for an account manager. The Data Hub is not: blends, join types, custom dimensions, and normalization decisions require someone who thinks in datasets, and getting them wrong produces confidently incorrect client-facing numbers. |
| Platforms | Web app, iOS and Android mobile apps, TV display mode, Slack and email delivery | Web application, Scheduled email delivery, Live shareable report links, Embedded dashboards, MCP endpoint for Claude, ChatGPT, and other MCP clients |
| Compliance | GDPR, SOC 2, CCPA | GDPR, SOC 2, ISO 27001 |
| Founded | 2013 | 2015 |
| Headquarters | Boston, Massachusetts, United States, with engineering in Slovenia | Amsterdam, Netherlands (engineering in Vilnius, Lithuania) |
| Ownership | Venture-backed; privately held, led by chief executive Peter Caputa IV, formerly of HubSpot | Venture-backed, independent |
Strengths and limitations
Databox
Strengths
- A genuinely useful free plan with three data sources, anomaly detection, and sharing, which lets a small business prove the value before spending anything.
- Finished dashboards out of the box via prebuilt templates per tool, so there is no build project between signing up and having something to show.
- Unlimited users from the $159 Pro plan, which is a significant cost advantage over per-seat dashboard and reporting tools.
- Benchmarks against anonymised peer companies are genuinely distinctive and answer a question no attribution tool addresses, which is whether your numbers are normal.
Limitations
- No attribution logic whatsoever: platform-reported numbers arrive as stated, so Meta and Google both claiming the same conversion will both appear on your board.
- Per-source pricing means a business with a wide tool stack pays materially more than the tier price implies, at $5.60 per additional source on Pro and Growth.
- White labelling and SSO are Custom-tier only, which removes the two features agencies most often need from the self-serve path.
- Datasets are a lighter modelling layer than a real BI or warehouse stack, so data teams will outgrow them.
Whatagraph
Strengths
- A genuine data modeling layer, not just a report renderer: field mapping, custom metrics, account grouping, and joins with explicit join-type control.
- Cross-channel blending is a first-class feature rather than a workaround, so blended cost per acquisition across six platforms is a defined metric instead of a spreadsheet.
- Unlimited users on every plan, which suits agencies where a dozen people touch reports and clients need viewer access.
- White labeling goes as far as a custom report domain, so nothing in the client-facing experience carries the vendor's name.
Limitations
- The published floor is 699 euros per month billed annually with no free plan and no monthly option, which removes the product from consideration for small agencies and freelancers entirely.
- Pricing is credit-based with no small top-up path, so crossing an allocation forces a tier move rather than an incremental charge; agencies report the jump as unpredictable.
- Public API access and BigQuery or Looker Studio transfer are locked behind the quote-only Prime tier, so the integration path many technical buyers want is not purchasable at the published price.
- Report layout is constrained by a grid and fixed widget sizing; reviewers consistently note limited freedom over widget dimensions and design, which frustrates teams with strict brand templates.
Pricing compared
Databox
Freemium, with paid tiers priced by the number of connected data sources plus per-source overage, differentiated by sync frequency, dataset capability, and included features rather than by data volume.
- Free$0
- Analyst$64
- Pro$159
- Growth$399
- CustomCustom
Databox is priced well for what it is, which is a finished dashboard product that requires no building. The free plan is genuinely usable rather than a teaser, Analyst at $64 removes the dashboard limit for a single operator, and unlimited users at $159 on Pro is a real advantage over per-seat competitors. The structure to model carefully is data sources: at $5.60 each beyond the three included on Pro and Growth, a business with a wide tool stack pays noticeably more than the tier price, and an agency wanting white labelling has to leave self-serve entirely. Compared with Supermetrics, you are paying for the dashboard rather than the connector depth, and compared with any attribution tool you are paying for presentation rather than answers. For a small business that wants one board and no project, that is a good trade.
Whatagraph
Annual subscription priced by source credits, where one connected data account equals one credit. Users, reports, and dashboards are unlimited on every plan, so cost scales with the number of client accounts and channels rather than with headcount. As of August 2026 the pricing page publishes two tiers: Max and a quote-only Prime.
- MaxFrom 699 euros
- PrimeCustom
Whatagraph has repriced itself out of the small end of the market it originally served, and any assessment has to start there. At 50 or more connected accounts, with real cross-channel blending and a team whose account managers otherwise spend days a month in spreadsheets, the arithmetic works: roughly 8,400 euros a year is less than a fractional analyst, and the governed data layer plus warehouse transfer replaces a connector subscription as well as a reporting tool. Below about 25 connected accounts it does not work, and the honest recommendation is a cheaper per-client reporting tool. The product is good; the question is whether your account count is large enough to make the floor price rational, and for most businesses reading a small-business directory the answer is no.
Editorial verdict on each
Databox
Databox is the right buy for a small business or agency that wants every number on one self-updating board and has no appetite for a reporting project. The free plan is genuinely usable, templates mean a first dashboard exists within the hour, unlimited users from $159 removes the seat tax that plagues competitors, and benchmarks against anonymised peers answer a question nothing else in this category asks. The HubSpot partner heritage shows in how well the agency workflow is handled. Be honest about two things before buying. It does no attribution, so the double-counted conversion numbers your ad platforms report will land on your dashboard unchallenged and you will need a separate tool if that matters. And per-source pricing plus Custom-tier white labelling and SSO mean a wide tool stack or an agency brand requirement costs more than the tier list implies. Compare it directly against Supermetrics, and decide whether you are buying a dashboard or a pipe.
Read the full Databox profileWhatagraph
Whatagraph built something real over the past three years. The Data Hub, with field mapping, custom metrics, account grouping, and join-controlled blends, is a genuine modeling layer rather than a dashboard with a settings page, and pushing those same definitions to BigQuery and to AI clients over MCP is a coherent answer to the problem of numbers disagreeing across surfaces. The engineering is not in question. The positioning is. The product that once served a five-person agency for a couple hundred dollars a month now publishes a single entry plan at 699 euros per month billed annually with a 50-credit floor, no free plan, no monthly option, and the API locked behind a quote. That is an agency-scale platform purchase, and it should be evaluated as one: count your connected accounts first, and if the number is under about 25, buy AgencyAnalytics, Swydo, DashThis, or ReportGarden instead and revisit Whatagraph when your portfolio has grown into the price.
Read the full Whatagraph profileDatabox profile last reviewed 2026-08-22; Whatagraph last reviewed 2026-08-23. Pricing is compiled from public sources and can change without notice. See our methodology.