Business Intelligence · head to head
Sisense vs Looker

Looker
Spreadsheet & Data
Modern business intelligence platform by Google
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Sisense pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training; Looker requires annual commitment with no month-to-month billing option
- They diverge on capability: Sisense covers AI/ML Integration, Looker covers LookML Data Modeling.
Where they differ
Only the attributes on which Sisense and Looker actually diverge.
Identical on both: pricing model (Unknown), 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 Sisense
- AI/ML Integration
- In-chip Technology
- White-labeling
- REST API
- AWS
- Azure
- Google Cloud
- HubSpot
Only in Looker
- LookML Data Modeling
- API Access
- Version Control
- Data Actions
- BigQuery
- Redshift
- PostgreSQL
- MySQL
Both cover
- Embedded Analytics
- Snowflake
- Salesforce
- Web support
- Mobile support
What people use each for
The jobs each tool is most often brought in to do.
Sisense
- Self-service analyticsnot Looker
- Data explorationnot Looker
- Ad-hoc reportingnot Looker
- Collaborative analysisnot Looker
- Embedded analyticsnot Looker
Looker
- Business intelligence and interactive dashboards for data-driven decision makingnot Sisense
- Embedded analytics for integrating BI capabilities into third-party applicationsnot Sisense
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Looker
- Requires annual commitment with no month-to-month billing option
- Conversational analytics will incur token overage charges ($3.00 per 1M input tokens, $20.00 per 1M output tokens) after October 1, 2026
Pricing, plan by plan
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
Looker
On requestNo published plan breakdown. See the Looker review.
Which should you pick?
Choose Sisense if
- You need ai/ml integration.
- You work on Web, Cloud, On-premises.
- You also want in-chip technology.
Choose Looker if
- You need lookml data modeling.
- You work on Web, Cloud (Google Cloud Platform).
- You also want api access.
Questions people ask
- Is Sisense or Looker better?
- Neither clearly leads. Sisense starts at $10000/year and Looker at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Sisense or Looker?
- Sisense starts at $10000/year and Looker at On request.
- Does Sisense or Looker run on more platforms?
- Sisense runs on Web, Cloud, On-premises. Looker runs on Web, Cloud (Google Cloud Platform).
- What is Sisense best used for?
- Sisense is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what Looker is typically brought in for.
- What can Sisense do that Looker cannot?
- Sisense covers AI/ML Integration, In-chip Technology, White-labeling, REST API. Looker covers LookML Data Modeling, API Access, Version Control, Data Actions. Both handle Embedded Analytics, Snowflake, Salesforce, 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.
SourceSisense: 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.
SourceSisense: 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.
SourceSisense: 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
