IBM Cloud Pak for Data vs SCIKIQ Data Fabric

IBM Cloud Pak for Data9.3Visit SCIKIQ Data Fabric8.3Visit

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

SCIKIQ Data Fabric #8 in Data Fabric Software 8.3/10 Pricing on request ✓ 3 of 4 features Visit SCIKIQ

• IBM Cloud Pak for Data fits best

  Hybrid enterprises needing broad data fabric coverage

• SCIKIQ Data Fabric fits best

  No-code teams building governed data pipelines

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Side by side

Feature	IBM Cloud Pak for Data 9.3/10 Visit ↗	SCIKIQ Data Fabric 8.3/10 Visit ↗
At a glance
Editor score	9.3	8.3
Ranking	#1 in Data Fabric Software	#8 in Data Fabric Software
Best for	Hybrid enterprises needing broad data fabric coverage	No-code teams building governed data pipelines
Pricing model	Free	Paid
Starting price	Free plan · 60-day trial	—
Free plan	✓ (best)	Not checked yet
Free trial	60 days	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web	Web
Integrations	60+ integrations	200+ integrations
Built for	Mid-market, Enterprise	Mid-market, Enterprise
Features IBM Cloud Pak for Data 4/4 · SCIKIQ Data Fabric 3/4
Data catalog	✓	✓
Data lineage	✓	✓
Governance controls	✓	✓
Data virtualization	✓ (best)	Not checked yet
Specs
Deployment model	Hybrid	Hybrid
Data delivery modes	Both	Both
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	No-code pipelines support batch, CDC, and streaming data flows. Catalog, lineage, governance, quality checks, and metadata work together. Connects with SAP, Snowflake, Databricks, AWS, Kafka, and more.
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	The wide feature set may exceed the needs of narrowly focused teams. Pricing requires a contact-sales process across four plan tiers. AI assistance is included alongside, rather than focused solely on, data fabric work.
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 →	SCIKIQ Data Fabric is a no-code platform for integrating, curating, governing, and consuming enterprise data across cloud, on-premises, and hybrid environments. It is aimed at teams managing data across multiple vendors, applications, data… 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

• SCIKIQ Data Fabric — where it wins

  • No-code pipelines support batch, CDC, and streaming data flows.
  • Catalog, lineage, governance, quality checks, and metadata work together.
  • Connects with SAP, Snowflake, Databricks, AWS, Kafka, and more.

  Where it doesn't

  • The wide feature set may exceed the needs of narrowly focused teams.
  • Pricing requires a contact-sales process across four plan tiers.
  • AI assistance is included alongside, rather than focused solely on, data fabric work.

• 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 →
• SCIKIQ Data Fabric8.3/10 · Pricing on request

  A broad hybrid data fabric for teams that need governed pipelines without coding.

  Visit SCIKIQFull verdict →