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Cybersecurity · head to head

IBM QRadar vs OneTrust

IBM QRadar logo

IBM QRadar

Cybersecurity

Enterprise SIEM licensed by events per second, whose cloud business IBM sold to Palo Alto Networks in 2024.

From
On request
Rated
-
Full reviewWebsite
OneTrust logo

OneTrust

Cybersecurity

Enterprise AI governance and data compliance platform.

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: IBM QRadar iBM sold the QRadar SaaS business to Palo Alto Networks in 2024 and those customers are being moved to Cortex XSIAM, so anyone buying today is choosing an on-premises product whose vendor has publicly moved the cloud future to a competitor, and the support horizon becomes a contract negotiation rather than an assumption.; OneTrust complex usage-based pricing model with multiple meters (admin users, inventory size, daily visitors, data subjects) making total cost unpredictable
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which IBM QRadar and OneTrust actually diverge.

Attributes where IBM QRadar and OneTrust differ
AttributeIBM QRadarOneTrust
Pricing modelsubscriptionusage-based
PlatformsWeb, ApiWeb, API, Cloud
Founded1911Unknown

Identical on both: starting price (On request), free tier (No), user rating (Not yet rated), category (Cybersecurity).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in IBM QRadar

  • Offence model
  • Network flow analysis
  • Device Support Modules
  • Ariel query language
  • Rules and building blocks
  • Deployment topology
  • App Exchange
  • Use Case Manager

Only in OneTrust

Nothing recorded that IBM QRadar does not also cover.

What people use each for

The jobs each tool is most often brought in to do.

IBM QRadar

  • A regulated enterprise that must keep log data on premises or in a specific jurisdiction and cannot use a shared SaaS SIEMnot OneTrust
  • A SOC that wants log correlation and network flow analysis in one platform rather than buying an NDR product separatelynot OneTrust
  • An existing QRadar estate deciding whether to stay on premises or accept the migration path to a different vendor's platformnot OneTrust
  • Compliance-driven log retention and reporting where the audit requirement is specific about collection, retention and reportingnot OneTrust

OneTrust

  • Fortune 500 enterprises managing multi-framework compliance (GDPR, SOC 2, EU AI Act, DORA, NIS2)not IBM QRadar
  • Organisations implementing responsible AI governance and monitoring AI systemsnot IBM QRadar
  • Companies with global data operations requiring consent and privacy automation at scalenot IBM QRadar
  • Enterprises managing complex vendor ecosystems with third-party risk assessmentnot IBM QRadar
  • Regulated industries (finance, healthcare, insurance) requiring continuous compliancenot IBM QRadar

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

IBM QRadar

  • IBM sold the QRadar SaaS business to Palo Alto Networks in 2024 and those customers are being moved to Cortex XSIAM, so anyone buying today is choosing an on-premises product whose vendor has publicly moved the cloud future to a competitor, and the support horizon becomes a contract negotiation rather than an assumption.
  • Licensing is by events per second and flows per minute, so every additional log source raises the cost directly and teams routinely exclude verbose sources such as DNS, proxy, endpoint and cloud audit logs to stay under the licence, which strips out exactly the data an investigation later needs.
  • It needs a dedicated operator: rule tuning, parser work and offence triage are continuous jobs, and an organisation that deploys QRadar without at least one named engineer accumulates thousands of unreviewed offences and a false sense of coverage.
  • A log source without a matching Device Support Module arrives unparsed, and writing a custom parser with regular expressions against an unfamiliar payload format is specialist work that can take days per source, which quietly determines which systems ever get monitored.
  • On-premises capacity is planned across consoles, processors, collectors and data nodes, so outgrowing the sizing means procuring and racking more appliances rather than changing a subscription tier, and growth becomes a purchasing cycle measured in months.

OneTrust

  • Complex usage-based pricing model with multiple meters (admin users, inventory size, daily visitors, data subjects) making total cost unpredictable
  • No published pricing examples or per-unit costs; all pricing requires custom quotes
  • Each solution area uses different pricing metrics, requiring complex calculations for multi-solution purchases
  • Enterprise-only positioning (Fortune 500 focus) suggests premium pricing, discouraging mid-market or startup adoption
  • Platform complexity and multiple solution areas may result in significant implementation and ongoing costs not disclosed upfront

Pricing, plan by plan

IBM QRadar

On request
  • QRadar SIEMFree
    • Event and flow processing
    • Offense management
    • Threat intelligence
  • QRadar CloudFree
    • Cloud-native deployment
    • Elastic scaling
    • Managed infrastructure
  • QRadar SuiteFree
    • SIEM + SOAR + XDR
    • Unified analyst experience
    • Federated search

OneTrust

On request
  • AI Governance$undefined/variable
    • Pricing by admin users and AI inventory size
    • AI compliance lifecycle management
    • Control enforcement and monitoring
  • Consent & Preferences$undefined/variable
    • CMP Base: priced by average daily visitors
    • CMP Suite: expanded privacy experiences
    • Universal Consent: metered by data subject profiles
  • Privacy Automation$undefined/variable
    • Priced by users and privacy asset inventory
    • Internal operations automation
    • Data subject request handling
  • Tech Risk & Compliance$undefined/variable
    • Governance and risk management across 50+ standards
    • Priced by admin users and asset inventory

Which should you pick?

Choose IBM QRadar if

  • You need offence model.
  • You work on Web, Api.
  • You also want network flow analysis.
IBM QRadar review

Choose OneTrust if

  • You work on Web, API, Cloud.
OneTrust review

Questions people ask

Is IBM QRadar or OneTrust better?
Neither clearly leads. IBM QRadar starts at On request and OneTrust at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, IBM QRadar or OneTrust?
IBM QRadar starts at On request and OneTrust at On request.
Does IBM QRadar or OneTrust run on more platforms?
IBM QRadar runs on Web, Api. OneTrust runs on Web, API, Cloud.
What is IBM QRadar best used for?
IBM QRadar is most often used for a regulated enterprise that must keep log data on premises or in a specific jurisdiction and cannot use a shared saas siem, a soc that wants log correlation and network flow analysis in one platform rather than buying an ndr product separately, an existing qradar estate deciding whether to stay on premises or accept the migration path to a different vendor's platform, compliance-driven log retention and reporting where the audit requirement is specific about collection, retention and reporting. Of those, a regulated enterprise that must keep log data on premises or in a specific jurisdiction and cannot use a shared saas siem and a soc that wants log correlation and network flow analysis in one platform rather than buying an ndr product separately are not what OneTrust is typically brought in for.
What can IBM QRadar do that OneTrust cannot?
IBM QRadar covers Offence model, Network flow analysis, Device Support Modules, Ariel query language.

Answered from the vendors’ own pages

IBM QRadar: Who owns QRadar now?

It is split. IBM sold the QRadar SaaS assets to Palo Alto Networks in a deal announced in May 2024 and closed that September, and those customers are being migrated to Cortex XSIAM. IBM retains and supports the on-premises product.

OneTrust: How many case studies does OneTrust have?

OneTrust showcases 74+ customer case studies across multiple industries and regions, with examples from banking, insurance, hospitality and technology.

Source
IBM QRadar: Is QRadar being discontinued?

IBM has committed to continuing support for on-premises customers, including security updates, while offering migration assistance. The cloud product's future belongs to Palo Alto. If you are signing a multi-year term, get the support horizon written into the contract.

OneTrust: What compliance standards does OneTrust support?

OneTrust covers tech risk and compliance across 50+ standards including GDPR, SOC 2, EU AI Act, DORA and NIS2.

Source
IBM QRadar: How is it licensed?

By events per second for logs and flows per minute for network data, with the software or appliance sized to that rate. Add-on modules in the suite are licensed separately.

OneTrust: Does OneTrust automate data detection?

Yes. OneTrust automatically detects and classifies sensitive data across 200+ connectors, identifying where data lives and what regulatory requirements apply.

Source
IBM QRadar: What is an offence?

QRadar's term for a correlated case. Rules group related events and flows against a common indicator such as a host or user, so an analyst reviews one offence rather than the hundreds of events behind it.

IBM QRadar: Do I need a full-time engineer?

In practice yes for anything beyond a small deployment. Parser development, rule tuning and offence triage do not stop, and the most common failure mode is a well-installed QRadar that nobody has tuned since go-live.

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