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.
The short answer
Both sides assessedDatabox 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 $64 to $399 tiers, priced by 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| Attribute | Databox | Supermetrics |
|---|---|---|
| Category | Analytics | Analytics |
| Starting price | $0 (Free), then $64 per month billed annually (Analyst) (free plan available) | €49 per month (Starter), or €39 per month billed yearly (free plan available) |
| 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. | 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 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. | None; the trial is the evaluation path. |
| Free trial | 14 days, no credit card required | 14 days, no credit card required |
| 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 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 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. | 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 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. | 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. |
| Platforms | Web app, iOS and Android mobile apps, TV display mode, Slack and email delivery | Google Sheets add-on, Looker Studio connectors, Excel and Power BI connectors, Cloud data warehouse destinations, Web hub at hub.supermetrics.com |
| Compliance | GDPR, SOC 2, CCPA | GDPR, SOC 2, ISO 27001, EU-based company and processing |
| Founded | 2013 | 2013 |
| Headquarters | Boston, Massachusetts, United States, with engineering in Slovenia | Helsinki, Finland |
| Ownership | Venture-backed; privately held, led by chief executive Peter Caputa IV, formerly of HubSpot | Venture-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 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.
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 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.
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, 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 profileSupermetrics
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 profileDatabox profile last reviewed 2026-08-22; Supermetrics last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.