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Business Intelligence · head to head

Databox vs Evidence

Databox logo

Databox

Business Intelligence

KPI dashboards that pull from the tools you already run on

From
Free
Rated
-
Evidence logo

Evidence

Business Intelligence

Business intelligence as code for teams and AI agents

From
$2500/month
Rated
-

The short version

  • Only Databox has a free tier, so it costs nothing to try first.
  • Each has a real cost: Databox data sources are the billing unit, so cost tracks the number of tools you connect rather than the value you get from them; Evidence high starting price at $2,500/month limits small team adoption
  • They diverge on capability: Databox covers Pre-built dashboards, Evidence covers Analytics Agent.
  • Prices and features above were last checked on 25 September 2026.

Where they differ

Only the attributes on which Databox and Evidence actually diverge.

Attributes where Databox and Evidence differ
AttributeDataboxEvidence
Starting priceFree$2500/month
Pricing modelsubscriptionFlat team pricing with no per-user fees
Free tierYesNo
PlatformsWeb, Mobile, TvCloud, Embedded
CategoryUnknownBusiness Intelligence
Founded2012Unknown

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Databox

  • Pre-built dashboards
  • Dashboard designer
  • Metric library
  • Goal tracking
  • Scorecards
  • Alerts
  • Scheduled reports
  • Client reporting

Only in Evidence

  • Analytics Agent
  • Code-based infrastructure
  • Development environment
  • Visualization tools
  • Embedded analytics
  • Enterprise security
  • Multi-channel access

What people use each for

The jobs each tool is most often brought in to do.

Databox

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

Evidence

  • Building version-controlled analytics infrastructurenot Databox
  • Enabling AI agents to answer business questionsnot Databox
  • Delivering analytics through multiple channels (web, Slack, ChatGPT)not Databox
  • Embedding white-labeled analytics in productsnot Databox

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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

Evidence

  • High starting price at $2,500/month limits small team adoption
  • No freemium option for evaluation or learning
  • Code-based approach has steeper learning curve than visual tools
  • AI credits limited on Team plan; additional credits cost extra
  • Requires Git workflow familiarity for effective collaboration

Pricing, plan by plan

Databox

Free
  • FreeFree
    • 3 data sources
    • 1 user
    • 50 AI credits per month
  • Analyst$71/month
    • 5 data sources
    • 1 user
    • 150 AI credits per month
  • Team - Core$199/month
    • 10 data sources
    • 3 users
    • 500 AI credits per month
  • Team - Scale$319/month
    • 30 data sources
    • 10 users
    • 1,000 AI credits per month

Evidence

$2500/month
  • Team$2500/month
    • Unlimited users
    • Monthly billing
    • Analytics Agent
  • Enterprise$null/custom
    • All Team features
    • SSO/SAML authentication
    • SCIM directory sync

Which should you pick?

Choose Databox if

  • You need pre-built dashboards.
  • You want to start without paying.
  • You work on Web, Mobile, Tv.
  • You also want dashboard designer.

Choose Evidence if

  • You need analytics agent.
  • You work on Cloud, Embedded.
  • You also want code-based infrastructure.

Questions people ask

Is Databox or Evidence better?
Neither clearly leads. Databox starts at Free and Evidence at $2500/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databox or Evidence?
Databox has a free tier; the other does not. Paid plans start at Free for Databox and $2500/month for Evidence.
Does Databox or Evidence run on more platforms?
Databox runs on Web, Mobile, Tv. Evidence runs on Cloud, Embedded.
Can I use Databox for free?
Yes. Databox has a free tier, so you can try it without paying. Evidence starts at $2500/month.
What is Databox best used for?
Databox is most often used 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. Of those, watching marketing, sales and finance kpis from separate saas tools on one shared dashboard and agencies reporting campaign performance to many clients without rebuilding a report per account are not what Evidence is typically brought in for.
What can Databox do that Evidence cannot?
Databox covers Pre-built dashboards, Dashboard designer, Metric library, Goal tracking. Evidence covers Analytics Agent, Code-based infrastructure, Development environment, Visualization tools.

Answered from the vendors’ own pages

Databox: 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
Evidence: Does Evidence have per-user pricing?

No, Evidence offers one flat price for unlimited users at $2,500/month on the Team plan with a 30-day free trial.

Source
Databox: 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
Evidence: How many AI credits come with Team plan?

Team plan includes 20,000 AI credits monthly at $0.01 per additional credit. Enterprise offers custom credit packages.

Source
Databox: 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
Evidence: What is included in the Enterprise plan?

Enterprise adds SSO/SAML, SCIM directory sync, row-level access rules, embedding capabilities, and custom deployment options at custom pricing.

Source
Databox: 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
Databox: 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
Databox: 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
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