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DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
Qlik SenseDo Data Differently
Comparison · Business Intelligence · weekly run Nov 2

Databricks vs Qlik Sense

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Qlik Sense is the stronger AI pick in Business Intelligence: it has a visibility score of 28.8 versus 4.3 for Databricks, and ranks ahead in 80% of the answers that name both.

Choose Databricks if…

  • AI answers describe it more positively (35% vs 33% positive)
  • You need ISO 27001 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
  • You prefer a larger, established vendor (5,000+ employees)
  • Lakehouse architecture combining data warehousing with data lake flexibility

Choose Qlik Sense if…

  • You want the brand AI engines rank higher (28.8 vs 4.3)
  • You need a self-hosted or on-premises option
  • You need ISO 27001:2022 or SOC 2 Type 2 or HITRUST CSF or German BSI C5 attestation or FedRAMP Moderate or DoD IL2 or GovRAMP Moderate or ISO/IEC 27018 or ISO/IEC 42001:2023 or TISAX or HIPAA or CJIS or TX-RAMP coverage
  • Proprietary associative engine for real-time data exploration

AI visibility side by side

Latest weekly run · Nov 2

Metric Databricks Qlik Sense
Visibility score4.3%28.8%
Change vs last weekNewNew
Rank in Business Intelligence#18#4
Share of voice1.6%8%
Mentions this run842
Positive in AI answers35%33%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Databricks 4%

Databricks 0pp · Qlik Sense 0pp over 0 weekly runs.

Engine by engine

Qlik Sense leads on 3 of 3 engines

ChatGPT
3%
36.1%
AI Mode
3.7%
19.6%
Perplexity
6.3%
30.7%
DatabricksQlik Sense

Head to head in AI answers

5 engine answers name both brands

1Databricks ranked higher
4Qlik Sense ranked higher

Features, pricing & fit

DimensionDatabricksQlik Sense
DeploymentAvailable across all major cloud providersCloud, on-premises and hybrid
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3ISO 27001:2022, ISO 27017, SOC 2 Type 2, HITRUST CSF, German BSI C5 attestation, FedRAMP Moderate, DoD IL2, GovRAMP Moderate, ISO/IEC 27018, ISO/IEC 42001:2023, TISAX, HIPAA, CJIS, TX-RAMP
SupportTechnical support on request, Technical documentation—
Founded20131993
HeadquartersSan Francisco, CAKing of Prussia, Pennsylvania, United States
Employees5,000+1,001–5,000
FundingRound at $60B valuation, including secondary saleMinority stake sale to ADIA subsidiary and new Thoma Bravo equity investment
Best forData engineering, data science, analytics and AI teams at startups and global enterprises—

Pros and cons

Themes from the AI answers that mention each brand

Databricks

  • Lakehouse architecture combining data warehousing with data lake flexibility
  • Strong for machine learning, AI, and data engineering workloads
  • Top customer satisfaction ratings alongside Snowflake
  • Free trial and free Edition for learning
  • Discounts for annual prepaid commitments
  • Complex consumption-based pricing with no single fixed price
  • Best only when ML, Spark, or Python skills are central to the team

Qlik Sense

  • Proprietary associative engine for real-time data exploration
  • Robust data integration capabilities
  • Strong, trusted data governance
  • Robust AI-driven insights and conversational AI
  • Frequently recommended by analysts for BI shortlists

    Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

    Cite as: SlateIndex, “Databricks vs Qlik Sense”, https://slateindex.ai/compare/databricks-vs-qlik-sense, data of Nov 2, 2026. Licence: CC BY 4.0.