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Business Intelligence · head to head

Databox vs Deepnote

Databox logo

Databox

Business Intelligence

KPI dashboards that pull from the tools you already run on

From
Free
Rated
-
Deepnote logo

Deepnote

Business Intelligence

Collaborative cloud workspace for data analytics and machine learning

From
Free
Rated
-

The short version

  • 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; Deepnote free plan limited to 3 editors, restricting team usage
  • They diverge on capability: Databox covers Pre-built dashboards, Deepnote covers Collaborative notebooks.
  • Prices and features above were last checked on 25 September 2026.

Where they differ

Only the attributes on which Databox and Deepnote actually diverge.

Attributes where Databox and Deepnote differ
AttributeDataboxDeepnote
Pricing modelsubscriptionSubscription with free tier
PlatformsWeb, Mobile, TvWeb, API
CategoryUnknownBusiness Intelligence
Founded2012Unknown

Identical on both: starting price (Free), free tier (Yes), 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 Deepnote

  • Collaborative notebooks
  • Interactive dashboards
  • Data agent building
  • Scheduled pipelines
  • Model management
  • 100+ integrations
  • GPU support
  • API deployment

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 Deepnote
  • Agencies reporting campaign performance to many clients without rebuilding a report per accountnot Deepnote
  • Putting a live KPI board on an office TV or a recurring email to a leadership teamnot Deepnote
  • Replacing a manually maintained spreadsheet that someone updates from tool exports each weeknot Deepnote
  • Tracking goals and getting alerted when a metric moves past a thresholdnot Deepnote

Deepnote

  • Data exploration and analysis workflowsnot Databox
  • Building interactive business intelligence dashboardsnot Databox
  • Collaborative machine learning model developmentnot Databox
  • Automating ETL and data pipeline orchestrationnot Databox
  • Creating shareable reports without exportsnot 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

Deepnote

  • Free plan limited to 3 editors, restricting team usage
  • Limited revision history on free plan compared to competitors
  • Requires Team plan or higher for automated scheduling
  • GPU support incurs additional charges beyond base subscription
  • No mentioned offline capability

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

Deepnote

Free
  • FreeFree
    • Up to 3 editors
    • Up to 5 projects
    • Limited Deepnote AI
  • Team$39/month
    • Unlimited viewers and notebooks
    • Full Deepnote AI access
    • Premium integrations
  • Enterprise$null/custom
    • Everything in Team plan
    • Custom contracts
    • Priority support

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 Deepnote if

  • You need collaborative notebooks.
  • You want to start without paying.
  • You work on Web, API.
  • You also want interactive dashboards.

Questions people ask

Is Databox or Deepnote better?
Neither clearly leads. Databox starts at Free and Deepnote at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databox or Deepnote?
Databox starts at Free and Deepnote at Free.
Does Databox or Deepnote run on more platforms?
Databox runs on Web, Mobile, Tv. Deepnote runs on Web, API.
Can I use Databox for free?
Both have a free tier, so you can try either at no cost before committing.
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 Deepnote is typically brought in for.
What can Databox do that Deepnote cannot?
Databox covers Pre-built dashboards, Dashboard designer, Metric library, Goal tracking. Deepnote covers Collaborative notebooks, Interactive dashboards, Data agent building, Scheduled pipelines.

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
Deepnote: What is included in the free Deepnote plan?

The free plan includes up to 3 editors, up to 5 projects, limited Deepnote AI, basic machines with 5 GB RAM, and 7-day revision history.

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
Deepnote: What data sources can Deepnote integrate with?

Deepnote integrates with 100+ data sources including major data warehouses like Snowflake, BigQuery, and Redshift, as well as BI platforms like Looker, Tableau, and Power BI.

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
Deepnote: Does Deepnote support collaboration?

Yes, Deepnote provides real-time collaborative notebooks where multiple team members can work simultaneously. The Team plan allows unlimited viewers and notebooks.

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
Deepnote: What compliance certifications does Deepnote have?

Deepnote is SOC 2, HIPAA, GDPR, and CCPA compliant and offers role-based access control, single sign-on, and directory synchronization.

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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