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Business Intelligence · head to head

Glassbox vs Sisense

Glassbox logo

Glassbox

Business Intelligence

Digital experience intelligence

From
On request
Rated
-
Full reviewWebsite
Sisense logo

Sisense

Business Intelligence

Infuse analytics everywhere

From
$10000/year
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Glassbox no fixed pricing tiers published; custom quotes required based on package, data retention, and session volume; Sisense pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • They diverge on capability: Glassbox covers Session Replay, Sisense covers Embedded Analytics.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Glassbox and Sisense actually diverge.

Attributes where Glassbox and Sisense differ
AttributeGlassboxSisense
Starting priceOn request$10000/year
Pricing modelsubscriptionUnknown
PlatformsWeb, Mobile, HybridWeb, Cloud, On-premises
Founded20102004

Identical on both: free tier (No), 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 Glassbox

  • Session Replay
  • Struggle Detection
  • Journey Mapping
  • AI Insights
  • Voice of Customer
  • Adobe Analytics
  • Google Analytics
  • ServiceNow

Only in Sisense

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

Both cover

  • Salesforce
  • Web support
  • Mobile support

What people use each for

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

Glassbox

  • User experience analysisnot Sisense
  • Bug reproductionnot Sisense
  • Conversion optimizationnot Sisense
  • Customer journey mappingnot Sisense
  • Usability testingnot Sisense

Sisense

  • Self-service analyticsnot Glassbox
  • Data explorationnot Glassbox
  • Ad-hoc reportingnot Glassbox
  • Collaborative analysisnot Glassbox
  • Embedded analyticsnot Glassbox

Where each one falls short

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

Glassbox

  • No fixed pricing tiers published; custom quotes required based on package, data retention, and session volume

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

Glassbox

On request
  • CustomFree
    • Full Platform
    • Mobile Analytics
    • Enterprise Support

Sisense

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

Which should you pick?

Choose Glassbox if

  • You need session replay.
  • You work on Web, Mobile, Hybrid.
  • You also want struggle detection.
Glassbox review

Choose Sisense if

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

Questions people ask

Is Glassbox or Sisense better?
Neither clearly leads. Glassbox starts at On request and Sisense at $10000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Glassbox or Sisense?
Glassbox starts at On request and Sisense at $10000/year.
Does Glassbox or Sisense run on more platforms?
Glassbox runs on Web, Mobile, Hybrid. Sisense runs on Web, Cloud, On-premises.
What is Glassbox best used for?
Glassbox is most often used for user experience analysis, bug reproduction, conversion optimization, customer journey mapping. Of those, user experience analysis and bug reproduction are not what Sisense is typically brought in for.
What can Glassbox do that Sisense cannot?
Glassbox covers Session Replay, Struggle Detection, Journey Mapping, AI Insights. Sisense covers Embedded Analytics, AI/ML Integration, In-chip Technology, White-labeling. Both handle Salesforce, Web support, Mobile support.

Answered from the vendors’ own pages

Glassbox: How much does Glassbox cost?

Glassbox uses custom pricing based on three factors: the selected package (Production Operation, Marketing/Business, or Product), data retention period, and session volume. The vendor encourages contacting sales to build customized packages.

Source
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
Glassbox: Does Glassbox offer add-ons for specific industries?

Yes, Glassbox offers specialized add-on solutions including fraud prevention, accessibility features, and call center solutions tailored for financial organizations.

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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