IBM Cloud Pak for Data vs. Sylox IRIS

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Cloud Pak for Data
Score 8.0 out of 10
N/A
IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.N/A
Sylox IRIS
Score 0.0 out of 10
N/A
Sylox IRIS is a Data Security Posture Management (DSPM) platform built for regulated enterprises managing compliance for the DPDP Act, GDPR, HIPAA, SEBI CSCRF, RBI IT Framework, and SOC 2. The platform provides security and compliance teams with a comprehensive, continuously updated map of Sensitive Data locations, access permissions, and regulatory exposure risks—without requiring Agents or the movement of data outside the customer environment. The Problem IRIS…
$3,600
per year database-based licensing
Pricing
IBM Cloud Pak for DataSylox IRIS
Editions & Modules
No answers on this topic
Starter
$3,600
per year
Professional
$11,000
per year
Business
$29,000
per year
Enterprise
Custom
per year
Offerings
Pricing Offerings
IBM Cloud Pak for DataSylox IRIS
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM Cloud Pak for DataSylox IRIS
User Ratings
IBM Cloud Pak for DataSylox IRIS
Likelihood to Recommend
8.9
(9 ratings)
-
(0 ratings)
Likelihood to Renew
9.1
(2 ratings)
-
(0 ratings)
User Testimonials
IBM Cloud Pak for DataSylox IRIS
Likelihood to Recommend
IBM
IBM Cloud Pak for Data with Netezza is well suited for clients who require fast, economical analytics processing. It is not designed to be used as a transactional processing environment. For example, a large customer is using it during the point of sale process. That makes little sense in that business case. However, to take analysis to market faster, it excels well in that space.
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SYLOXIT SERVICES PRIVATE LIMITED
No answers on this topic
Pros
IBM
  • Increases our impact by combining BI skills with advanced analytics and machine learning in an easy to use visual interface.
  • Visualization and reporting.
  • Rapidly provides business -ready data to all users equally.
  • Manage data spread across distributed stores and clouds.
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SYLOXIT SERVICES PRIVATE LIMITED
No answers on this topic
Cons
IBM
  • Cannot save changes to some secrets in the internal vault
  • Sign-in issues on environments where IAM is enabled
  • The Enforce quotas option is disabled
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SYLOXIT SERVICES PRIVATE LIMITED
No answers on this topic
Alternatives Considered
IBM
IBM Cloud Pak for Data takes the IBM Cognos solution and provides this on an enterprise cloud platform that can be extended to support better data integration and data science capabilities.
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SYLOXIT SERVICES PRIVATE LIMITED
No answers on this topic
Return on Investment
IBM
  • We have the ability to access all our data much quicker through the unified search option.
  • 30% increase in productivity through the introduction of AI.
  • Improved data security and governance.
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SYLOXIT SERVICES PRIVATE LIMITED
No answers on this topic
ScreenShots

Sylox IRIS Screenshots

Screenshot of Executive overview: a single-pane view of sensitive-data exposure, risk posture, and compliance status across the organisation's entire data estate.Screenshot of Data classification powered by 8 India-native NER models (Aadhaar, PAN, GSTIN, UPI) plus an LLM + RAG contextual engine — 99.9% accuracy with Verhoeff checksum validation.Screenshot of Continuous risk scoring via a real-time data-flow graph — sensitive data prioritised by business context, not static periodic reports.Screenshot of Evidence-first compliance tracking across DPDP Act, GDPR, HIPAA, CCPA, SOC 2, and ISO 27001 — audit-ready exports on demand.Screenshot of Access governance: detect over-permissioned access and exposure to sensitive data, with insider-risk andanomaly indicators.Screenshot of Agentless connectors for 105+ cloud and on-premises sources — AWS, Azure, GCP, Snowflake, Databricks, Salesforce, SAP, PostgreSQL, MongoDB, and more.