Softwr

Education & E-Learning · head to head

Labster vs Sisense

Labster logo

Labster

Education & E-Learning

Virtual science labs for immersive learning

From
On request
Rated
-
Sisense logo

Sisense

Business Intelligence

Infuse analytics everywhere

From
$10000/year
Rated
-

The short version

  • Each has a real cost: Labster customization is limited and labs cannot be easily adapted to specific course learning outcomes; Sisense pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • They diverge on capability: Labster covers Virtual simulations, Sisense covers Embedded Analytics.

Where they differ

Only the attributes on which Labster and Sisense actually diverge.

Attributes where Labster and Sisense differ
AttributeLabsterSisense
Starting priceOn request$10000/year
Pricing modelsubscriptionUnknown
PlatformsWebWeb, Cloud, On-premises
CategoryEducation & E-LearningBusiness Intelligence
Founded20112004

Identical on both: free tier (No), 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 Labster

  • Virtual simulations
  • 3D environments
  • Theory pages
  • Quizzes
  • Lab reports
  • Progress tracking
  • Mobile access
  • Multiplayer

Only in Sisense

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

Both cover

  • Web support

What people use each for

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

Labster

  • Virtual labsnot Sisense
  • Pre-lab preparationnot Sisense
  • Supplemental learningnot Sisense
  • Remote educationnot Sisense

Sisense

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

Where each one falls short

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

Labster

  • Customization is limited and labs cannot be easily adapted to specific course learning outcomes
  • Simulations can lag or freeze depending on operating system and connection speed
  • Cannot fully replace hands-on physical lab experience and data collection
  • Students report preference for tactile physical lab experience over virtual simulations

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

Labster

On request
  • Student Access$49/month
    • Course simulations
    • Mobile access
    • Progress tracking
  • Institution$undefined/month
    • All simulations
    • LMS integration
    • Analytics
  • Enterprise$undefined/month
    • Custom content
    • API access
    • Priority support

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 Labster if

  • You need virtual simulations.
  • You also want 3d environments.

Choose Sisense if

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

Questions people ask

Is Labster or Sisense better?
Neither clearly leads. Labster 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, Labster or Sisense?
Labster starts at On request and Sisense at $10000/year.
Does Labster or Sisense run on more platforms?
Labster runs on Web. Sisense runs on Web, Cloud, On-premises.
What is Labster best used for?
Labster is most often used for virtual labs, pre-lab preparation, supplemental learning, remote education. Of those, virtual labs and pre-lab preparation are not what Sisense is typically brought in for.
What can Labster do that Sisense cannot?
Labster covers Virtual simulations, 3D environments, Theory pages, Quizzes. Sisense covers Embedded Analytics, AI/ML Integration, In-chip Technology, White-labeling. Both handle Web support.

Answered from the vendors’ own pages

Labster: What STEM subjects does Labster cover?

Labster provides interactive 3D simulations across biology, chemistry, physics, and other STEM subjects, designed for university, college, and high school students.

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
Labster: How many students has Labster served?

Labster has served over 6 million students and thousands of institutions globally with its virtual lab simulations.

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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