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.
Still shortlisting? Browse the best in GTM Analytics and the best in Client Reporting Dashboards for every option we track, with award winners called out.
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 $71 per month billed annually ($89 monthly) (Analyst) | From 699 euros per month, billed annually (Max, from 50 source credits) (free trial) |
| Pricing model | Freemium, with paid plans priced by users, connected data sources, and monthly AI credits, a per-client Agency plan, and paid add-ons for white labelling, security, fiscal calendars, OKRs, and faster sync. | 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 1 user, 3 data sources, 1 dashboard, 10 custom metrics, 50 monthly AI credits, daily sync, and the Genie AI analyst; no sharing, notifications, or chat and email support. | 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 on the Agency plan from $79 a month, with client packs rather than per-seat fees for each new client.
- 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.
- Plans cap data sources and users together, so a business with a wide tool stack or a mid-sized team jumps to Team Scale at $319 sooner than the entry price implies.
- 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 plans priced by users, connected data sources, and monthly AI credits, a per-client Agency plan, and paid add-ons for white labelling, security, fiscal calendars, OKRs, and faster sync.
- Free$0
- Analyst$71
- Team Core$199
- Team Scale$319
- Agency$79
- 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 $71 removes the dashboard limit for a single operator, and the Agency plan at $79 plus $20 per client pack is the cheapest self-serve route to unlimited users. The structure to model carefully is the combination of users and data sources: the Team plans cap both, so a five-person team with fifteen tools lands on Team Scale at $319. White labelling is now an $80 add-on rather than a reason to leave self-serve. 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, the Agency plan's client packs remove 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 plan caps on users and sources, plus paid add-ons for white labelling and SSO, mean a wide tool stack or an agency brand requirement costs more than the entry price 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 2026-09-27; Whatagraph last reviewed 2026-08-23. Pricing is compiled from public sources and can change without notice. See our methodology.
The best in GTM Analytics
16 trackedGTM analytics tools measure how go-to-market actually performs: where traffic and pipeline come from, what marketing touches contribute revenue, and what users do once they arrive.
Two decades of ubiquity, free at any traffic volume, and ad platform integrations no rival matches make Google Analytics the category's inescapable standard.
Self hosted Umami delivers funnels, retention, journeys, revenue, and a full API for the price of a VPS, with a free 100,000 event Cloud tier besides.
Founded in 2022, through Y Combinator in 2023, and a $20M Bessemer Series A by January 2025, HockeyStack is the breakout name in B2B revenue attribution.
The Triple Pixel plus Compass, unifying multi touch attribution, marketing mix modelling, and incrementality in one system, is a genuinely new measurement mechanism.
One script tag puts data live immediately and the whole product is a single dashboard page, the shortest route from signup to a real answer in the category.
The best in Client Reporting Dashboards
16 trackedClient reporting platforms pull metrics from ad, analytics, SEO, social, and CRM sources into automated dashboards and scheduled white-label reports, replacing the monthly spreadsheet an agency assembles by hand.
Template reports ship in under an hour and cloning cuts each added client to minutes, with zero SQL or data modelling asked of account managers.
Frequently asked questions
6 questionsWhat is the difference between Databox and Whatagraph?
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.
Is Databox or Whatagraph cheaper?
Databox starts at $0 (Free), then $71 per month billed annually ($89 monthly) (Analyst). Whatagraph starts at From 699 euros per month, billed annually (Max, from 50 source credits) (free trial). The billing models differ, so the entry price is rarely the whole cost. Databox pricing model: Freemium, with paid plans priced by users, connected data sources, and monthly AI credits, a per-client Agency plan, and paid add-ons for white labelling, security, fiscal calendars, OKRs, and faster sync. Whatagraph pricing model: Annual subscription priced by source credits, where one connected data account equals one credit.
Does Databox or Whatagraph have a free plan?
Databox has a free plan. Free forever with 1 user, 3 data sources, 1 dashboard, 10 custom metrics, 50 monthly AI credits, daily sync, and the Genie AI analyst; no sharing, notifications, or chat and email support. Trial terms: 14 days, no credit card required. Whatagraph has no free plan. Trial terms: Free trial available on the Max plan (length not published).
Who should choose Databox?
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.
Who should choose Whatagraph?
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.
What are the best alternatives to Databox and Whatagraph?
SaaSTracker profiles 16 products in GTM Analytics. The Summer 2026 awards in the category went to Google Analytics 4 (Category Leader), Umami (Best Value), HockeyStack (Momentum). SaaSTracker profiles 16 products in Client Reporting Dashboards. The Summer 2026 awards in the category went to DashThis (Ease of Use). Every profile is compiled from primary sources, so a shortlist can be built from pricing, limitations, and fit rather than from star ratings.
