Databox logoSupermetrics logo

Databox vs Supermetrics

An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.

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The short answer

Both sides assessed

Databox compared with Supermetrics

The direct comparison. Supermetrics is a pipeline with the deeper marketing connector library, feeding Sheets, Looker Studio, Power BI, or a warehouse from €49 a month, with no dashboard of its own. Databox is the finished dashboard with goals, alerts, benchmarks, and a free plan. If you already have a reporting destination you trust, Supermetrics. If you want boards handed to you today with nothing to build, Databox.

Supermetrics compared with Databox

The closest comparison and a genuine fork in the road. Databox is a finished dashboard product with a free plan and paid plans from $71 to $319 a month billed annually, priced by users and data sources and built for people who want boards, goals, and alerts without building anything. Supermetrics is a pipeline with no dashboard, feeding Sheets, Looker Studio, Power BI, or a warehouse. If you want a dashboard handed to you, Databox; if you already have a reporting destination and a template you like, Supermetrics.

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 Supermetrics if

Marketing agencies producing recurring client reports, in-house teams who live in Google Sheets or Looker Studio, and any business that wants marketing data in a warehouse without building and maintaining API connectors themselves.

Side by side

13 attributes
Databox compared with Supermetrics across 13 attributes, including pricing, setup time, platforms, and company facts.
AttributeDataboxSupermetrics
CategoryAnalyticsAnalytics
Starting price$0 (Free), then $71 per month billed annually ($89 monthly) (Analyst)€49 per month (Starter), or €39 per month billed yearly (free plan available)
Pricing modelFreemium, 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.Subscription tiered by the number of connected data sources, accounts per source, user seats, and refresh frequency, with one core destination per self-serve plan and explicitly no data volume fees.
Free planFree 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.None; the trial is the evaluation path.
Free trial14 days, no credit card required14 days, no credit card required
Best forSmall 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 producing recurring client reports, in-house teams who live in Google Sheets or Looker Studio, and any business that wants marketing data in a warehouse without building and maintaining API connectors themselves.
Setup timeAn 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.An hour for a first working report: authorise the sources, install the destination connector, define a query, and schedule the refresh. A full agency reporting template across a dozen clients is a week of design work, most of it in the destination rather than in Supermetrics.
Learning curveLow. 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.Low if you can already build a spreadsheet or a Looker Studio report, since the Supermetrics part is choosing metrics, dimensions, and date ranges. The real skill required is knowing which metric from which platform means what, and that is a marketing analytics skill rather than a product one.
PlatformsWeb app, iOS and Android mobile apps, TV display mode, Slack and email deliveryGoogle Sheets add-on, Looker Studio connectors, Excel and Power BI connectors, Cloud data warehouse destinations, Web hub at hub.supermetrics.com
ComplianceGDPR, SOC 2, CCPASOC 2 Type II (annual audits), ISO 27001, GDPR, CCPA
Founded20132013
HeadquartersBoston, Massachusetts, United States, with engineering in SloveniaHelsinki, Finland
OwnershipVenture-backed; privately held, led by chief executive Peter Caputa IV, formerly of HubSpotVenture-backed; privately held and profitable

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.

Supermetrics

Strengths

  • The largest and best-maintained marketing connector library in the category, with the vendor fixing connectors when platforms change their APIs rather than leaving your report broken.
  • No data volume fees on any package, so cost is decoupled from how much you spend on ads or how much traffic you get.
  • Destination-agnostic by design, so you keep Sheets, Looker Studio, Power BI, or your warehouse rather than being pushed into another vendor's dashboard.
  • Warehouse destinations and transformation tooling turn it into a genuine marketing data pipeline rather than just a reporting connector.

Limitations

  • It does no attribution whatsoever: the numbers it delivers are each platform's self-reported claims, so double-counting flows straight through into your report unchallenged.
  • Accounts-per-source allowances are the real constraint for agencies, and they are hit far sooner than the data source counts suggest.
  • Seat counts are low at one, two, and three users, with additional seats costing €37 to €124 a month each.
  • One core destination per self-serve plan means teams wanting both a spreadsheet and a BI dashboard need to check whether that is an add-on.

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.

Supermetrics

Subscription tiered by the number of connected data sources, accounts per source, user seats, and refresh frequency, with one core destination per self-serve plan and explicitly no data volume fees.

  • Starter€49
  • Growth€199
  • Pro€499
  • EnterpriseCustom

Judged against the labour it replaces, Supermetrics is easy to justify: €199 a month is a fraction of the cost of the two or three days a month an agency currently spends assembling reports by hand, and the maintained connectors mean nobody has to fix a broken API integration on a Sunday. The absence of data volume fees is a real structural advantage over dashboard tools that meter usage. What makes the pricing feel expensive is the allowance structure: low seat counts, one core destination, and accounts-per-source ceilings that agencies hit quickly, all of which push a genuinely small team from €49 to €199 faster than the tier list suggests. Price your actual account count before comparing against Databox, and be clear that you are buying plumbing rather than answers.

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 profile

Supermetrics

Supermetrics is infrastructure, and the right way to judge it is by the labour it removes rather than the features it lists. If your team currently loses days each month exporting from Meta, Google, LinkedIn, and GA4 into a template, €199 a month buys those days back and hands connector maintenance to someone else, with no data volume fees so your bill does not grow with your ad spend. The connector library is the deepest in the category and the company is the most established, which matters when a platform changes an API on a Friday. Two things to be clear about before buying: this does no attribution at all, so it faithfully reproduces the double-counted conversion numbers the ad platforms report, and the allowance structure around accounts per source and seats will push a small agency from €49 to €199 faster than the price list implies. Buy it as plumbing, pair it with an attribution tool if you need answers rather than numbers, and compare it directly against Databox if what you actually want is a dashboard.

Read the full Supermetrics profile

Databox profile last reviewed 2026-09-27; Supermetrics last reviewed 2026-09-27. Pricing is compiled from public sources and can change without notice. See our methodology.

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Frequently asked questions

6 questions

What is the difference between Databox and Supermetrics?

The direct comparison. Supermetrics is a pipeline with the deeper marketing connector library, feeding Sheets, Looker Studio, Power BI, or a warehouse from €49 a month, with no dashboard of its own. Databox is the finished dashboard with goals, alerts, benchmarks, and a free plan. If you already have a reporting destination you trust, Supermetrics. If you want boards handed to you today with nothing to build, Databox.

Is Databox or Supermetrics cheaper?

Databox starts at $0 (Free), then $71 per month billed annually ($89 monthly) (Analyst). Supermetrics starts at €49 per month (Starter), or €39 per month billed yearly (free plan available). 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. Supermetrics pricing model: Subscription tiered by the number of connected data sources, accounts per source, user seats, and refresh frequency, with one core destination per self-serve plan and explicitly no data volume fees.

Does Databox or Supermetrics 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. Supermetrics has a free plan. None; the trial is the evaluation path. Trial terms: 14 days, no credit card required.

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 Supermetrics?

Marketing agencies producing recurring client reports, in-house teams who live in Google Sheets or Looker Studio, and any business that wants marketing data in a warehouse without building and maintaining API connectors themselves.

What are the best alternatives to Databox and Supermetrics?

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). Every profile is compiled from primary sources, so a shortlist can be built from pricing, limitations, and fit rather than from star ratings.