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Marketing · head to head

Google Analytics vs Sisense

Google Analytics logo

Google Analytics

Marketing

Get to know your customers

From
Free
Rated
-
Sisense logo

Sisense

Business Intelligence

Infuse analytics everywhere

From
$10000/year
Rated
-

The short version

  • Only Google Analytics has a free tier, so it costs nothing to try first.
  • Each has a real cost: Google Analytics data retention limited to maximum 26 months on standard properties, with automatic deletion after retention period expires; Sisense pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • They diverge on capability: Google Analytics covers Real-time analytics, Sisense covers Embedded Analytics.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Google Analytics and Sisense actually diverge.

Attributes where Google Analytics and Sisense differ
AttributeGoogle AnalyticsSisense
Starting priceFree$10000/year
Pricing modelfreemiumUnknown
Free tierYesNo
PlatformsWebWeb, Cloud, On-premises
CategoryMarketingBusiness Intelligence
Founded19982004

Identical on both: 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 Google Analytics

  • Real-time analytics
  • Audience insights
  • Acquisition tracking
  • Behavior flow
  • Conversion tracking
  • Custom reports
  • Mobile analytics
  • E-commerce tracking

Only in Sisense

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

Both cover

  • Salesforce

What people use each for

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

Google Analytics

  • Website and web application analyticsnot Sisense
  • Event tracking and user behaviour analysisnot Sisense
  • Traffic source and conversion trackingnot Sisense

Sisense

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

Where each one falls short

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

Google Analytics

  • Data retention limited to maximum 26 months on standard properties, with automatic deletion after retention period expires
  • Large and XL properties capped at 2-month data retention only
  • Age, gender, and interest data always expire after 2 months regardless of retention settings
  • Free tier does not include GA360 advanced features

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 Analytics

Free

No published plan breakdown. See the Google Analytics review.

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 Google Analytics if

  • You need real-time analytics.
  • You want to start without paying.
  • You also want audience insights.

Choose Sisense if

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

Questions people ask

Is Google Analytics or Sisense better?
Neither clearly leads. Google Analytics 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 Analytics or Sisense?
Google Analytics has a free tier; the other does not. Paid plans start at Free for Google Analytics and $10000/year for Sisense.
Does Google Analytics or Sisense run on more platforms?
Google Analytics runs on Web. Sisense runs on Web, Cloud, On-premises.
Can I use Google Analytics for free?
Yes. Google Analytics has a free tier, so you can try it without paying. Sisense starts at $10000/year.
What is Google Analytics best used for?
Google Analytics is most often used for website and web application analytics, event tracking and user behaviour analysis, traffic source and conversion tracking. Of those, website and web application analytics and event tracking and user behaviour analysis are not what Sisense is typically brought in for.
What can Google Analytics do that Sisense cannot?
Google Analytics covers Real-time analytics, Audience insights, Acquisition tracking, Behavior flow. Sisense covers Embedded Analytics, AI/ML Integration, In-chip Technology, White-labeling. Both handle Salesforce.

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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