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Looker AI vs Qlik AI

This comparison was retrieved by database IDs selected from the catalog.

Looker AI favicon

Looker AI

Google Cloud (Looker)

Qlik AI favicon

Qlik AI

Qlik

Overview
Rating
—
—
Category
Developer Tools
Developer Tools
Subcategory
AI-Powered Business Intelligence
AI Augmented Business Intelligence
Company
Google Cloud (Looker)
Qlik
Status
Active
Active
Launch year
2023
2022
Tags
business-intelligenceaigooglebigqueryanalyticssemantic-layer
business-intelligenceaianalyticsenterpriseautomlassociative
Pricing
Starting price
FreeBest value
Free
Pricing model
Subscription
Subscription
Free plan
No
No
Free trial
✓
✓
Pricing notes

Looker Studio is free. Looker (enterprise) pricing via Google Cloud — custom based on seats and features. 30-day trial.

No public pricing. Custom enterprise subscription. 30-day free trial for Qlik Sense SaaS.

Capabilities
Best for
Google Cloud BI and analyticsNatural language data explorationBigQuery analytics and reportingMarketing analytics (Looker Studio)Enterprise semantic analytics
Enterprise business intelligencePredictive analytics in BINatural language exploratory analyticsSAP data analyticsEuropean enterprise BI
Target audience
Data analystsMarketing analystsBusiness intelligence teamsGoogle Cloud usersData engineers
Business analystsData engineersFinance and operations analystsSAP usersEnterprise BI leaders
AI type
LLM Assistant
LLM Assistant
Modalities
TextData
TextData
Technical
Model provider
Google Gemini
OpenAIQlik
Model names
Gemini 1.5 ProGemini 2.0 Flash
—
API available
✓
✓
Open source
✕
✕
Deployment
SaaS
SaaSOn-premise
Platforms
WebAPI
WebDesktop
Integrations
BigQueryGoogle WorkspaceSalesforceSnowflakeRedshiftAWSAPI
SAPSalesforceSnowflakeBigQueryRedshiftAWSAzureSQLAPI
Team collaboration
✓
✓
Trust & security
Security

SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP authorised. HIPAA eligible. Google Cloud enterprise security.

SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP authorised. Enterprise data handling agreements.

Privacy notes

Data processed within Google Cloud infrastructure under Google's enterprise data handling agreements.

Data processed under Qlik enterprise data handling agreements. Customer data not used for AI model training. On-premise deployment available for data sovereignty.

Verdict
Pros
  • LookML semantic layer ensures AI-generated analyses use the same business logic as human-built dashboards
  • BigQuery native integration provides seamless Google Cloud analytics without data movement
  • Looker Studio is free and widely used for marketing and content analytics
  • Gemini integration improves as Google's models advance, benefiting all Looker users
  • Associative Engine provides unique non-linear data exploration that Tableau and Power BI cannot replicate
  • AutoML within BI platform allows predictive analytics without separate data science tools
  • Strong SAP integration for European enterprises with SAP-centric data environments
  • Generative AI connector enables LLM integration directly in Qlik analytics applications
Cons
  • Enterprise Looker pricing requires Google Cloud commitment
  • LookML requires upfront investment in semantic layer definition — not immediately accessible without data engineering
  • Less established AI analytics features than Tableau's more mature Einstein integration
  • No public pricing requires sales engagement
  • Less consumer-facing mindshare than Tableau and Power BI despite strong enterprise position
  • AI features are maturing relative to Tableau Einstein which has more market momentum

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