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Software · head to head

Google Data Studio vs Sisense

Google Data Studio logo

Google Data Studio

Software

Free data visualization by Google

From
Free
Rated
-
Full reviewWebsite
Sisense logo

Sisense

Software

Infuse analytics everywhere

From
$10000/year
Rated
-
Full reviewWebsite

The short version

  • Only Google Data Studio has a free tier, so it costs nothing to try first.
  • Each has a real cost: Google Data Studio google Data Studio has been renamed Looker Studio; the vendor's own landing page states it is free to use ("It's easy and free"), with no enterprise pricing tier visible on the consumer product itself.; Sisense pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • They diverge on capability: Google Data Studio covers Free Platform, Sisense covers Embedded Analytics.

Where they differ

Only the attributes on which Google Data Studio and Sisense actually diverge.

Attributes where Google Data Studio and Sisense differ
AttributeGoogle Data StudioSisense
Starting priceFree$10000/year
Pricing modelfreeUnknown
Free tierYesNo
PlatformsWebWeb, Cloud, On-premises
Founded19982004

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

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 Google Data Studio

  • Free Platform
  • Real-time Collaboration
  • Custom Visualizations
  • Data Blending
  • Sharing
  • Google Analytics
  • BigQuery
  • Google Sheets

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.

Google Data Studio

  • Self-service analytics
  • Data exploration
  • Ad-hoc reporting
  • Collaborative analysis
  • Embedded analytics

Sisense

  • Self-service analytics
  • Data exploration
  • Ad-hoc reporting
  • Collaborative analysis
  • Embedded analytics

Both are used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis, embedded analytics, on those jobs the choice comes down to price and fit rather than capability.

Where each one falls short

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

Google Data Studio

  • Google Data Studio has been renamed Looker Studio; the vendor's own landing page states it is free to use ("It's easy and free"), with no enterprise pricing tier visible on the consumer product itself.

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

Google Data Studio

Free
  • FreeFree
    • Unlimited Reports
    • Data Connectors
    • Collaboration

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 Google Data Studio if

  • You need free platform.
  • You want to start without paying.
  • You also want real-time collaboration.
Google Data Studio 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 Google Data Studio or Sisense better?
Neither clearly leads. Google Data Studio 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, Google Data Studio or Sisense?
Google Data Studio has a free tier; the other does not. Paid plans start at Free for Google Data Studio and $10000/year for Sisense.
Does Google Data Studio or Sisense run on more platforms?
Google Data Studio runs on Web. Sisense runs on Web, Cloud, On-premises.
Can I use Google Data Studio for free?
Yes. Google Data Studio has a free tier, so you can try it without paying. Sisense starts at $10000/year.
What is Google Data Studio best used for?
Google Data Studio is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis.
What can Google Data Studio do that Sisense cannot?
Google Data Studio covers Free Platform, Real-time Collaboration, Custom Visualizations, Data Blending. Sisense covers Embedded Analytics, AI/ML Integration, In-chip Technology, White-labeling. Both handle Web 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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Related pages

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