IBM Cloud Pak for Data vs Denodo Platform

IBM Cloud Pak for Data9.3Visit DPDenodo Platform8.6Visit

Higher score IBM Cloud Pak for Data #1 in Data Fabric Software 9.3/10 Free plan · 60-day trial Free planFree trial✓ 4 of 4 features Visit IBM

vs

DP Denodo Platform #5 in Data Fabric Software 8.6/10 Pricing on request ✓ 0 of 4 features Visit Denodo

• IBM Cloud Pak for Data fits best

  Hybrid enterprises needing broad data fabric coverage

• Denodo Platform fits best

  Enterprises prioritizing governed data virtualization

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Side by side

Feature	IBM Cloud Pak for Data 9.3/10 Visit ↗	DPDenodo Platform 8.6/10 Visit ↗
At a glance
Editor score	9.3	8.6
Ranking	#1 in Data Fabric Software	#5 in Data Fabric Software
Best for	Hybrid enterprises needing broad data fabric coverage	Enterprises prioritizing governed data virtualization
Pricing model	Free	Paid
Starting price	Free plan · 60-day trial	—
Free plan	✓ (best)	—
Free trial	60 days	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted, Browser extension
Platforms	Web	Web
Support	Docs, Community	Community, Docs
Compliance	SSO/SAML	ISO 27001, GDPR, SSO/SAML
Integrations	60+ integrations	200+ integrations
Built for	Mid-market, Enterprise	Mid-market, Enterprise
Features IBM Cloud Pak for Data 4/4 · Denodo Platform 0/4
Data catalog	✓ (best)	Not checked yet
Data lineage	✓ (best)	Not checked yet
Governance controls	✓ (best)	Not checked yet
Data virtualization	✓ (best)	Not checked yet
Specs
Deployment model	Hybrid	Not checked yet
Data delivery modes	Both	Not checked yet
Connector count	Not checked yet	Not checked yet
Our review
Pros	Combines cataloging, lineage, governance and data virtualization Supports batch and real-time data delivery across hybrid environments Includes integrated data engineering, analytics and AI lifecycle services	Federates distributed sources through SQL, REST, and GraphQL Combines semantic metadata with runtime and row-level governance Adds caching, scheduling, and a governed data marketplace
Cons	Pricing varies by service, deployment model and licensing arrangement The 60-day trial does not include Red Hat OpenShift Its modular scope may require more implementation planning	No free plan is available Pricing uses a contact-sales model rather than published monetary rates The Team tier is limited to one server and eight maximum cores
Our verdict	IBM Cloud Pak for Data is a modular data and AI platform for enterprise teams managing information across on-premises, cloud and hybrid environments. It brings together data cataloging, trusted asset discovery, lineage, virtualization,… Read the review →	Denodo Platform provides a logical data layer for connecting operational, analytical, cloud, SaaS, API, and legacy sources. It is designed for data teams, business users, analytics applications, and AI systems that need governed access… Read the review →

Strengths and trade-offs

• IBM Cloud Pak for Data — where it wins

  • Combines cataloging, lineage, governance and data virtualization
  • Supports batch and real-time data delivery across hybrid environments
  • Includes integrated data engineering, analytics and AI lifecycle services

  Where it doesn't

  • Pricing varies by service, deployment model and licensing arrangement
  • The 60-day trial does not include Red Hat OpenShift
  • Its modular scope may require more implementation planning

• Denodo Platform — where it wins

  • Federates distributed sources through SQL, REST, and GraphQL
  • Combines semantic metadata with runtime and row-level governance
  • Adds caching, scheduling, and a governed data marketplace

  Where it doesn't

  • No free plan is available
  • Pricing uses a contact-sales model rather than published monetary rates
  • The Team tier is limited to one server and eight maximum cores

• IBM Cloud Pak for Data9.3/10 · Free plan · 60-day trial

  A broad hybrid data fabric platform for cataloging, governance, delivery and AI workflows.

  Visit IBMFull verdict →
• DPDenodo Platform8.6/10 · Pricing on request

  A mature data fabric for governed access across hybrid and multicloud environments.

  Visit DenodoFull verdict →