Databox vs Porter Metrics
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 assessmentPorter Metrics compared with Databox
Databox is the packaged in-house alternative: connectors included in the subscription, pre-built metric templates, goal tracking, alerts, a mobile app, and a free tier, from about $64 a month billed annually on the entry paid plan. It watches your numbers for you inside its own interface. Porter has alerting too, and a free plan that is arguably more generous in features if narrower in lookback, but it will never show you a chart, because rendering is somebody else's job. Choose Databox if you want an opinionated dashboard product with the data problem solved invisibly. Choose Porter if you have already committed to Looker Studio or Power BI, want the data in a warehouse you own, and would rather not run a second reporting surface in parallel.
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 Porter Metrics if
Small marketing teams, ecommerce brands, and agencies that already report in Looker Studio, Google Sheets, or Power BI, whose data lives in the mainstream ad, social, ecommerce, and CRM platforms Porter covers, and who want cross-channel blending and a warehouse without hiring anyone to build one. It is at its strongest for a business connecting somewhere between three and twenty accounts.
Side by side
13 attributes| Attribute | Databox | Porter Metrics |
|---|---|---|
| Category | Analytics | Reporting |
| Starting price | $0 (Free), then $64 per month billed annually (Analyst) (free plan available) | $0 on the free forever plan (3 accounts, 30-day lookback); $15 per account per month thereafter, or $12.50 billed annually (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. | Charged per connected data source account, where an account means one ad account, one analytics property, one business profile, one store, or one CRM portal, with ten Google Business Profile locations counting as a single account. There are no seat charges, no per-destination charges, and no premium connectors: every destination, blending, templates, custom fields, alerts, and the MCP server are included on every plan including the free one. The per-account rate falls as the account count rises. Annual billing gives two months free, roughly 16.6 percent. |
| 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. | Free forever: 3 data source accounts, 30-day data lookback, all destinations including BigQuery and the MCP server, automatic data blending, and all features. The lookback window is the only functional restriction. |
| Free trial | 14 days, no credit card required | 14 days, unlimited accounts, no credit card required; the account downgrades automatically to the free forever plan afterwards |
| 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. | Small marketing teams, ecommerce brands, and agencies that already report in Looker Studio, Google Sheets, or Power BI, whose data lives in the mainstream ad, social, ecommerce, and CRM platforms Porter covers, and who want cross-channel blending and a warehouse without hiring anyone to build one. It is at its strongest for a business connecting somewhere between three and twenty accounts. |
| 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. | Under an hour for a first working report. Sign in with the Google account you already use for Looker Studio, authorise a source by OAuth, select the accounts, and install a template through the Data Studio API with data already loaded. A blended multi-source connection with custom fields and a naming-convention parser is more like half a day. A BigQuery destination writing into your own Google Cloud project takes longer only because of Google's side of the setup. |
| 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 for a marketer, and deliberately so, because the modelling interfaces are natural language and visual builders rather than SQL. The concepts that take time are what counts as an account for billing, when a source should be switched to stored rather than live, and how the automatic blend has decided to map fields when two platforms disagree about what a campaign is. Analysts used to writing their own joins will find the absence of a SQL editor the hardest adjustment. |
| Platforms | Web app, iOS and Android mobile apps, TV display mode, Slack and email delivery | Web application at app.portermetrics.com, Looker Studio (Data Studio) connector via the Data Studio API, Google Sheets destination, Power BI connector, BigQuery destination into a customer-owned Google Cloud project, Hosted MCP server at mcp.portermetrics.com for Claude, ChatGPT, Gemini, and other MCP clients |
| Compliance | GDPR, SOC 2, CCPA | No SOC 2 Type 2 certification as of August 2026; the company states it is expected during 2026, The company's own documentation states the product is not GDPR compliant, and flags this specifically for European teams with data residency requirements, NDAs offered in place of certification, Read-only OAuth access to source platforms, revocable by the customer at any time, Customer-owned BigQuery project offered as the data-control answer, so warehoused data sits in infrastructure the customer holds |
| Founded | 2013 | 2020 |
| Headquarters | Boston, Massachusetts, United States, with engineering in Slovenia | Lewes, Delaware, United States, with the team based in Manizales, Caldas, Colombia |
| Ownership | Venture-backed; privately held, led by chief executive Peter Caputa IV, formerly of HubSpot | Independent, angel and accelerator backed |
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.
Porter Metrics
Strengths
- One pricing dimension. You pay for connected accounts and nothing else: no per-destination charge, no seat fees, no premium connectors, no feature gating between plans, which is a genuinely simpler bill than Supermetrics or most of the reporting suites.
- Automatic cross-source blending with no schema work. Dates, campaign names, UTMs, spend, and revenue are unified across connected platforms without a join or a field-mapping exercise, which is the step that normally requires SQL or a data person.
- Managed warehousing and backfill for the sources that break live connectors, specifically HubSpot, Shopify, ActiveCampaign, Amazon Seller, and large Google Business Profile accounts, with no warehouse to configure.
- A real permanent free tier: three accounts with every feature and every destination, limited only by a 30-day lookback, plus a 14-day unlimited trial that downgrades to it automatically rather than expiring into a paywall.
Limitations
- Connector breadth is the defining weakness and the company says so itself, calling 25 integrations against 150-plus on Supermetrics and 325-plus on Windsor the number one reason prospects who evaluate Porter decide not to buy. There is no Salesforce and no Go High Level connector, both on the roadmap and neither shipped.
- Destination support is narrow. Looker Studio, Google Sheets, Power BI, BigQuery, Slack, and Zapier is the complete list. No Tableau, no Snowflake, no Redshift, no Amazon S3, no FTP.
- No SOC 2 Type 2 certification as of August 2026, which the company states is expected during the year, and its own documentation says the product is not GDPR compliant. For a European team with data residency obligations or any buyer with a procurement checklist, that is a hard stop, and NDAs plus customer-owned BigQuery are the offered substitutes rather than a fix.
- No SQL editor and no manual join control. Everything is modelled through natural language, visual builders, and AI, which is fast for a marketer and limiting for an analyst who wants exact control over metric definitions and transformations; verified reviewers describe complex bespoke modelling as requiring workarounds.
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.
Porter Metrics
Charged per connected data source account, where an account means one ad account, one analytics property, one business profile, one store, or one CRM portal, with ten Google Business Profile locations counting as a single account. There are no seat charges, no per-destination charges, and no premium connectors: every destination, blending, templates, custom fields, alerts, and the MCP server are included on every plan including the free one. The per-account rate falls as the account count rises. Annual billing gives two months free, roughly 16.6 percent.
- Free forever$0
- 1 to 2 accounts$15 per account
- 3 to 12 accounts$39.99 to $96
- 13 to 20 accounts$100
- 21 to 199 accounts$105 to about $418
- 200-plus accounts and BigQuery CustomFrom $400 per month, or from about $1,000 per month for the custom BigQuery arrangement
The honest way to price Porter is per connector against the two products it actually competes with, and the answer changes direction depending on how many accounts you have. For a single business connecting Meta Ads, Google Ads, and GA4 once each, Porter costs $39.99 a month and includes every destination, unlimited users, blending, and templates. Supermetrics' Starter plan at 49 euros a month covers three data sources but gives you one destination, one user, and three accounts per source, so the moment a second person or a second destination is involved Porter is meaningfully cheaper for the same coverage. Windsor.ai's Basic plan at $23 a month monthly ($19 annually) covers three data source types and up to seventy-five accounts, which at three accounts is cheaper than Porter and comes with a far larger connector catalogue. Push the count up and the picture inverts twice. At twenty accounts Porter is a flat $100 a month, against Windsor Standard at $118 ($99 annually) for seven source types and Supermetrics Growth at 199 euros for seven sources, two users, and seven accounts per source: Porter wins clearly. At sixty accounts across five platforms Porter charges $4 per account, about $240 a month, while Windsor Standard covers seventy-five accounts across seven source types for $99 annually, and Porter loses badly. The rule that falls out of this is specific: Porter is the best value in this category between roughly three and twenty-five connected accounts across a handful of platforms, and it is the wrong pricing model for an agency running dozens of accounts of the same source. Add the free forever plan, which no direct competitor of this shape matches in permanence, and the entry risk is close to zero either way.
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 profilePorter Metrics
Porter Metrics is the connector layer, not the dashboard, and every sensible judgement about it follows from that. It does not compete with AgencyAnalytics, DashThis, or Whatagraph; it competes with Supermetrics and Windsor.ai, and inside that fight its case is packaging rather than breadth. One pricing dimension, every destination and every feature on every plan, automatic cross-source blending that removes the join nobody wants to write, managed warehousing for the APIs that break live connectors, a BigQuery dataset you own, and a permanent free tier make it the best value in this category for a business connecting roughly three to twenty-five accounts across mainstream marketing platforms. The disqualifiers are equally clear and the company states most of them itself: 26 connectors with no Salesforce, no Tableau or Snowflake destination, no SOC 2 Type 2 and an admission that the product is not GDPR compliant, no SQL editor, and a per-account model that turns expensive for an agency running dozens of accounts of the same source. Check your source list and your compliance checklist before anything else, because either one can end the evaluation in a minute. If both pass, start on the free plan, connect three accounts, and see whether a blended table that needed a data engineer last month arrives on its own this month.
Read the full Porter Metrics profileDatabox profile last reviewed 2026-08-22; Porter Metrics last reviewed 2026-08-30. Pricing is compiled from public sources and can change without notice. See our methodology.