Qlik AI
Qlik / qlik.com
AI-powered analytics platform with unique associative data engine enabling exploration of all data connections, AI assistant Insight Advisor, no-code AutoML, and real-time data integration.
Pricing
Free
Free plan
No
Category
Developer Tools
Platforms
4
Free plan
No
API access
No
Open source
No
Platforms
4
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What is Qlik AI?
Qlik is an enterprise analytics platform known for its associative data engine — a unique approach enabling users to explore connections across an entire dataset rather than pre-defined hierarchical query paths. The engine shows both selected and excluded data, revealing hidden relationships traditional hierarchical BI misses. Qlik Sense is the cloud-first BI application with the associative engine, AI-assisted analytics, and drag-and-drop visualisation. Qlik AutoML provides no-code ML prediction for business analysts — building predictive models without data science expertise. Insight Advisor is the AI assistant enabling natural language questions and AI-generated chart suggestions. Qlik Data Integration provides real-time CDC data pipelines from databases to cloud platforms. Customers include Google, Samsung, and NHS.
How Qlik AI works
Qlik AI runs as llm assistant software built around data and text workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, ios, and android.
Watch Qlik AI in action
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What makes it worth shortlisting
The capabilities that matter most for teams evaluating Qlik AI.
Associative Engine
Explores all data connections simultaneously revealing selected and excluded data — surfaces unexpected relationships that hierarchical SQL-based BI and OLAP cubes cannot discover.
Qlik AutoML
No-code ML prediction for business analysts — democratises demand forecasting and churn prediction without data science expertise or separate ML infrastructure.
Insight Advisor
AI assistant for natural language queries and AI-recommended visualisations — suggesting appropriate chart types for specific data characteristics.
Best use cases
Who should use it
Pros
- Associative engine uniquely enables discovery of unexpected data connections hierarchical BI cannot reveal
- Qlik AutoML democratises ML prediction for business analysts without data science resources
- Google, Samsung, and NHS validate across technology, electronics, and healthcare
- Qlik Data Integration CDC provides real-time data pipelines alongside analytics
Cons
- Private company under Thoma Bravo — evaluate investment trajectory under private equity
- Associative engine has a learning curve for analysts coming from SQL-based BI tools
- Competing with Tableau, Power BI, and Looker for enterprise BI market
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Is it worth the price?
Annual subscription. Private company (Thoma Bravo since 2016). Demo available.
Model
Subscription
Starting price
Free
Free trial
Yes
Tools like Qlik AI
Tableau (covered) provides enterprise visualisation. Power BI (covered) provides BI within Microsoft. Looker (covered) provides cloud analytics within Google. Domo (rank 708) provides BI with broad connector focus.
Qlik AI vs Hugging Face
A side-by-side look at the closest alternative in this category.
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
OpenAI, Qlik
Platforms
Web, iOS, Android, API
Deployment
SaaS, On-premise
Integrations
Snowflake, Databricks, AWS, Azure, SAP, API
Team Collaboration
Yes
Launch Year
2023
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II. ISO 27001. GDPR compliant. HIPAA eligible. FedRAMP eligible. Enterprise data handling agreements.
Analytics data and query metadata processed on Qlik cloud or customer on-premise. Data integration pipelines handle raw source data under applicable compliance standards.
What users are saying
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Common questions about Qlik AI
Editorial Verdict
Should you use Qlik AI?
Qlik is the best AI analytics platform for enterprises wanting associative data exploration to discover unexpected relationships, no-code ML predictions, and integrated real-time data pipelines alongside BI.
Last verified July 24, 2026.


