Qlik Data Quality and Governance

Name: Qlik Data Quality and Governance
Brand: Qlik Technologies
Rating: 4.3 (600 reviews)

Leader

Do Data Differently

Est 1993|Valuation $2.9B|Raised $13.7B

LinkedIn 307K|Website|Web traffic 1.0M|FTEs 4,586|HQ King of Prussia, Pennsylvania, US

MarketsData Governance Data Catalog Data Quality

Qlik Data Quality and Governance screenshot

01Competitive Landscape

Comparison table (top 3 competitors) | Aspect | Qlik Data Quality & Governance (Talend-derived capabilities) | Informatica Data Quality & Observability (IDMC) | Collibra Data Catalog / Governance | |---|---:|---:|---:| | Starting Price | Public list pricing is limited; example channel listing shows a published starter bundle with limited capacity and usage overage terms; most enterprise tiers require vendor quote | Consumption-based pricing; exact quotes vary by usage and required capabilities | Quote-based pricing; typically procured for governance programs | | Primary fit | Organizations seeking integrated data movement, data quality, and catalog/stewardship aligned with the Qlik ecosystem | Large enterprises standardizing on Informatica for broad data quality and observability needs | Organizations prioritizing a governance operating model and stewardship workflows | | Key strength | Consolidated packaging of integration, quality, and catalog capabilities with a broad connector set | Mature enterprise platform with extensive DQ and observability features | Focused governance tooling, policy management, and stewardship workflows | | Key weakness | Reported learning curve, UI integration seams, observability gaps, and pricing transparency concerns | Perceived procurement and operational complexity for some customers | Setup complexity and ongoing curation effort required for effective adoption | Narrative competitive analysis - Versus Informatica - Informatica is widely used by large enterprises for integration and data quality and positions explicit observability capabilities. Qlik’s differentiation is stronger where an organization already uses Qlik analytics or integration services and wants coupled governance/quality tied to those pipelines. - Versus Collibra / Alation - Collibra and Alation typically win where the buyer’s priority is establishing a governance operating model, stewardship adoption, and extensive catalog/policy functionality. Qlik’s offering is more oriented toward integrating execution (pipelines, transformations) with quality and catalog capabilities. - Versus composable modern data stack alternatives - Modular stacks (e.g., dbt + Great Expectations/Soda + orchestration + OpenLineage) appeal to organizations seeking code-first, git-centric workflows and minimal vendor lock-in. The integrated suite can be preferred where packaged connectors, vendor support, and consolidated procurement are prioritized.

01Competitive Landscape

Comparison table (top 3 competitors)

Aspect	Qlik Data Quality & Governance (Talend-derived capabilities)	Informatica Data Quality & Observability (IDMC)	Collibra Data Catalog / Governance
Starting Price	Public list pricing is limited; example channel listing shows a published starter bundle with limited capacity and usage overage terms; most enterprise tiers require vendor quote	Consumption-based pricing; exact quotes vary by usage and required capabilities	Quote-based pricing; typically procured for governance programs
Primary fit	Organizations seeking integrated data movement, data quality, and catalog/stewardship aligned with the Qlik ecosystem	Large enterprises standardizing on Informatica for broad data quality and observability needs	Organizations prioritizing a governance operating model and stewardship workflows
Key strength	Consolidated packaging of integration, quality, and catalog capabilities with a broad connector set	Mature enterprise platform with extensive DQ and observability features	Focused governance tooling, policy management, and stewardship workflows
Key weakness	Reported learning curve, UI integration seams, observability gaps, and pricing transparency concerns	Perceived procurement and operational complexity for some customers	Setup complexity and ongoing curation effort required for effective adoption

Narrative competitive analysis

Versus Informatica
- Informatica is widely used by large enterprises for integration and data quality and positions explicit observability capabilities. Qlik’s differentiation is stronger where an organization already uses Qlik analytics or integration services and wants coupled governance/quality tied to those pipelines.
Versus Collibra / Alation
- Collibra and Alation typically win where the buyer’s priority is establishing a governance operating model, stewardship adoption, and extensive catalog/policy functionality. Qlik’s offering is more oriented toward integrating execution (pipelines, transformations) with quality and catalog capabilities.
Versus composable modern data stack alternatives
- Modular stacks (e.g., dbt + Great Expectations/Soda + orchestration + OpenLineage) appeal to organizations seeking code-first, git-centric workflows and minimal vendor lock-in. The integrated suite can be preferred where packaged connectors, vendor support, and consolidated procurement are prioritized.

Aspect

Qlik Data Quality & Governance (Talend-derived capabilities)

Informatica Data Quality & Observability (IDMC)

Collibra Data Catalog / Governance

Starting Price

Public list pricing is limited; example channel listing shows a published starter bundle with limited capacity and usage overage terms; most enterprise tiers require vendor quote

Consumption-based pricing; exact quotes vary by usage and required capabilities

Quote-based pricing; typically procured for governance programs

Primary fit

Organizations seeking integrated data movement, data quality, and catalog/stewardship aligned with the Qlik ecosystem

Large enterprises standardizing on Informatica for broad data quality and observability needs

Organizations prioritizing a governance operating model and stewardship workflows

Key strength

Consolidated packaging of integration, quality, and catalog capabilities with a broad connector set

Mature enterprise platform with extensive DQ and observability features

Focused governance tooling, policy management, and stewardship workflows

Key weakness

Reported learning curve, UI integration seams, observability gaps, and pricing transparency concerns

Perceived procurement and operational complexity for some customers

Setup complexity and ongoing curation effort required for effective adoption