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Business Intelligence · head to head

Databox vs Sisense

Databox logo

Databox

Business Intelligence

KPI dashboards for business performance

From
Free
Rated
-
Sisense logo

Sisense

Business Intelligence

Infuse analytics everywhere

From
$10000/year
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, and the $159 Pro plan still includes only 3 before charging $5.60 for each additional one; Sisense pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • They diverge on capability: Databox covers Pre-built Dashboards, Sisense covers Embedded Analytics.

Where they differ

Only the attributes on which Databox and Sisense actually diverge.

Attributes where Databox and Sisense differ
AttributeDataboxSisense
Starting priceFree$10000/year
Pricing modelfreemiumUnknown
Free tierYesNo
PlatformsWeb, Mobile, TvWeb, Cloud, On-premises
Founded20112004

Identical on both: user rating (Not yet rated), category (Business Intelligence).

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
  • Goal Tracking
  • Alerts
  • Scorecards
  • Mobile App
  • Google Analytics
  • Facebook
  • LinkedIn

Only in Sisense

  • Embedded Analytics
  • AI/ML Integration
  • In-chip Technology
  • White-labeling
  • REST API
  • Snowflake
  • AWS
  • Azure

Both cover

  • HubSpot
  • Salesforce
  • Web support
  • Mobile support

What people use each for

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

Databox

  • Building business dashboards from multiple SaaS data sourcesnot Sisense
  • Tracking KPIs and metrics across marketing, sales and finance toolsnot Sisense

Sisense

  • Self-service analyticsnot Databox
  • Data explorationnot Databox
  • Ad-hoc reportingnot Databox
  • Collaborative analysisnot Databox
  • Embedded analyticsnot 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, and the $159 Pro plan still includes only 3 before charging $5.60 for each additional one
  • The $64 Analyst plan is capped at 5 data sources and a single user
  • The free plan allows 3 data sources, 10 custom metrics and one user
  • AI credits are metered monthly, from 50 on free to 4,000 on Growth
  • Every published price assumes annual billing, with monthly costing 20% more

Sisense

  • Pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • Limited connector ecosystem compared to competitors; missing native connectors to many data sources
  • Dashboard customization options are limited; widgets cannot span multiple rows, restricting layout possibilities
  • Performance issues reported with large datasets and stability problems with data cubes

Pricing, plan by plan

Databox

Free
  • FreeFree
    • 3 Data Sources
    • Basic Features
    • Community Support
  • Starter$72/month
    • 10 Data Sources
    • Alerts
    • Forecasting

Sisense

$10000/year
  • Small Team$10000/year minimum
    • Basic analytics dashboards
    • Limited data sources
  • Mid-Market$null/custom
    • Advanced analytics
    • Multiple data sources
    • Custom integrations
  • Enterprise$60000/year+
    • Advanced AI analytics
    • Premium support
    • Custom development

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 goal tracking.

Choose Sisense if

  • You need embedded analytics.
  • You work on Web, Cloud, On-premises.
  • You also want ai/ml integration.

Questions people ask

Is Databox or Sisense better?
Neither clearly leads. Databox starts at Free and Sisense at $10000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databox or Sisense?
Databox has a free tier; the other does not. Paid plans start at Free for Databox and $10000/year for Sisense.
Does Databox or Sisense run on more platforms?
Databox runs on Web, Mobile, Tv. Sisense runs on Web, Cloud, On-premises.
Can I use Databox for free?
Yes. Databox has a free tier, so you can try it without paying. Sisense starts at $10000/year.
What is Databox best used for?
Databox is most often used for building business dashboards from multiple saas data sources, tracking kpis and metrics across marketing, sales and finance tools. Of those, building business dashboards from multiple saas data sources and tracking kpis and metrics across marketing, sales and finance tools are not what Sisense is typically brought in for.
What can Databox do that Sisense cannot?
Databox covers Pre-built Dashboards, Goal Tracking, Alerts, Scorecards. Sisense covers Embedded Analytics, AI/ML Integration, In-chip Technology, White-labeling. Both handle HubSpot, Salesforce, Web support, Mobile support.

Answered from the vendors’ own pages

Sisense: What is Sisense primarily used for?

Sisense is an embedded analytics platform that combines data ingestion, modeling, and dashboarding, allowing organizations to embed analytics and insights directly into their applications and workflows.

Source
Sisense: Does Sisense have a transparent pricing model?

Sisense pricing is not publicly listed and requires contacting sales. Typical costs start at $10,000 per year for small teams but can scale to $60,000+ annually depending on users, data volume, number of data sources, and complexity. AI capabilities typically add 20-30% to base costs.

Source
Sisense: What data sources can Sisense connect to?

Sisense provides pre-built connectors for popular applications including Salesforce, Google Analytics, Zendesk, and others. It also supports custom connections through APIs and SDKs for specialized data sources.

Source
Sisense: Is Sisense easy to use for non-technical users?

Sisense requires significant technical expertise to set up, particularly for creating Elasticubes (database caches) which often need SQL code. While it promotes codeless reporting, typical implementations require a technical resource.

Source

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