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Databox

KPI dashboards that pull from the tools you already run on

As of 25 September 2026, Databox has a free plan and paid plans start at $71/month. Databox pulls metrics from 130+ marketing, sales, finance and product tools into one dashboard, so a team can watch its KPIs without exporting anything into a spreadsheet first. Softwr lists it under Business Intelligence. Databox is made by Databox, Inc., launched in 2012, available on Web, iOS, Android, TV and console.

Overview

What Databox does

Databox is a business analytics platform that connects to the tools a company already uses - HubSpot, Google Analytics, Salesforce, Stripe, Shopify, spreadsheets, databases and custom APIs - and presents their metrics on shared dashboards, scheduled reports and TV displays. It is aimed at marketing teams, agencies and SMB operators who want one place to watch performance rather than a full BI stack: there is no modelling layer and no SQL requirement, and the setup work is connecting sources and picking metrics rather than building a warehouse. Billing is organised around how many data sources you connect and how many people need access, which is what most often decides the plan a buyer lands on.

What people use it for

  • Watching marketing, sales and finance KPIs from separate SaaS tools on one shared dashboard
  • Agencies reporting campaign performance to many clients without rebuilding a report per account
  • Putting a live KPI board on an office TV or a recurring email to a leadership team
  • Replacing a manually maintained spreadsheet that someone updates from tool exports each week
  • Tracking goals and getting alerted when a metric moves past a threshold

The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Databox.

  • Data sources are the billing unit, so cost tracks the number of tools you connect rather than the value you get from them
  • The $71 Analyst plan is a single seat: adding even a second person means the $199 Core plan, a 2.8x jump
  • AI credits are metered monthly, from 50 on Free to 1,000 on Scale, so heavier AI use pushes you up a tier
  • Every published price assumes annual billing; monthly billing forfeits the advertised 20% saving
  • Free and Analyst plans sync daily and hourly respectively, so neither suits anything close to real-time monitoring
  • It is a dashboarding layer, not a warehouse: there is no transformation or modelling step for messy source data

Cross-shopped

What people choose instead of Databox

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

  • Databox logo
    Databox
    vs
    Geckoboard logo
    Geckoboard

    Geckoboard: Closest match on intent: TV-first KPI dashboards for teams, with a similarly shallow setup

  • Databox logo
    Databox
    vs
    Klipfolio logo
    Klipfolio

    Klipfolio: Similar multi-source dashboarding, but allows custom formulas and modelling Databox has no layer for

  • Databox logo
    Databox
    vs
    Whatagraph logo
    Whatagraph

    Whatagraph: Aimed squarely at agency client reporting, the same buyer as the Databox Agency plan

  • Databox logo
    Databox
    vs
    DashThis logo
    DashThis

    DashThis: Agency reporting priced per dashboard rather than per data source, a different billing shape

  • Databox logo
    Databox
    vs
    Cyfe logo
    Cyfe

    Cyfe: Cheaper flat-rate dashboarding for teams that hit the Databox data-source ceiling on cost

  • Databox logo
    Databox
    vs
    Grow logo
    Grow

    Grow: No-code BI for SMBs that adds a data warehouse and transformation step

  • Databox logo
    Databox
    vs
    Domo logo
    Domo

    Domo: Enterprise end of the same idea, with governance and modelling Databox does not attempt

  • Databox logo
    Databox
    vs
    Power BI logo
    Power BI

    Power BI: Far cheaper per seat and much more capable, if the team can absorb building the model itself

Pricing

What Databox costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

Free

Free

  • 3 data sources
  • 1 user
  • 50 AI credits per month
  • Daily sync frequency
  • Free forever, no card required

Analyst

$71 /mo

  • 5 data sources
  • 1 user
  • 150 AI credits per month
  • Hourly sync frequency
  • Billed annually

Team - Core

$199 /mo

  • 10 data sources
  • 3 users
  • 500 AI credits per month
  • Hourly sync frequency
  • Billed annually

Team - Scale

$319 /mo

  • 30 data sources
  • 10 users
  • 1,000 AI credits per month
  • Hourly sync frequency
  • Billed annually

Agency

$79 /mo

  • 20 data sources, plus 5 per client pack
  • Unlimited users
  • 300 AI credits per month, plus 50 per client pack
  • Client packs at $20 per month (1 client, 5 data sources, 50 AI credits)
  • Hourly sync frequency
  • Billed annually

Custom

On request

  • Custom data source and AI credit limits
  • Unlimited users
  • Hourly sync frequency
  • Enterprise terms on request

Capabilities

Features

  • Pre-built dashboards

    Templates for common stacks so a first dashboard is picked rather than built

  • Dashboard designer

    Drag-and-drop editor for arranging metrics, charts and tables without SQL

  • Metric library

    Ready-made metrics per connected source, so numbers do not have to be defined by hand

  • Goal tracking

    Set a target on any metric and track progress against it over a period

  • Scorecards

    Recurring digest of chosen metrics delivered to Slack or email

  • Alerts

    Notifications when a metric crosses a threshold or moves unusually

  • Scheduled reports

    Reports built once and sent automatically on a recurring schedule

  • Client reporting

    Shareable dashboards and report links for reporting to external clients

  • Benchmarks

    Compare your metrics against anonymised data from similar companies

  • Forecasting

    Project a metric forward from its historical trend

  • Data calculations

    Combine metrics from different sources into a single calculated figure

  • Query builder

    Pull custom figures from connected SQL databases

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

How much does Databox cost?

Databox has a free forever plan with 3 data sources and 1 user. Paid plans are Analyst at $71 per month, Team Core at $199 per month and Team Scale at $319 per month, with an Agency plan from $79 per month plus $20 client packs and a Custom tier on request. All prices are billed annually; monthly billing forfeits the 20% annual saving.

Source
Does Databox have a free plan or a free trial?

Both. The Free plan is free forever and covers 3 data sources, 1 user, 50 AI credits a month and daily syncing. Paid plans also offer a 14-day free trial with no credit card required.

Source
How many users does each Databox plan include?

Free and Analyst are single-user. Team Core includes 3 users and Team Scale includes 10. The Agency and Custom plans include unlimited users.

Source
How many tools does Databox integrate with?

Databox connects to more than 130 tools, spreadsheets, databases and APIs, including HubSpot, Salesforce, Google Analytics, Google and Facebook Ads, Shopify, Stripe, QuickBooks, Google Sheets and custom API sources.

Source
How often does Databox refresh its data?

The Free plan syncs daily. Analyst, Team Core, Team Scale, Agency and Custom plans all sync hourly.

Source
Who makes Databox?

Databox, Inc., founded in 2012 by Davorin Gabrovec, who is now President and Chief Product Officer. Pete Caputa became CEO in 2017 after a decade at HubSpot. The company is headquartered in Boston, Massachusetts, with its product and engineering team based in Ptuj, Slovenia.

Source

Behind it

Who makes Databox

Company
Databox, Inc.
Based in
Boston, Massachusetts, United States
Founders
Davorin Gabrovec
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Softwr does not host reviews and shows no star rating for Databox, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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