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Cybersecurity · head to head

IBM QRadar vs Verint

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
Verint logo

Verint

Customer Support

Enterprise customer engagement and workforce optimisation, taken private by Thoma Bravo and merged with Calabrio

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.; Verint thoma Bravo took Verint private in November 2025 and is combining it with the directly competing Calabrio, so buyers signing multi-year agreements now cannot know which of the two overlapping product lines survives as the strategic one.
  • They diverge on capability: IBM QRadar covers Offence model, Verint covers Workforce management.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

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

Attributes where IBM QRadar and Verint differ
AttributeIBM QRadarVerint
Pricing modelsubscriptionquote
PlatformsWeb, ApiWeb, Windows
CategoryCybersecurityCustomer Support
Founded1911Unknown

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

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 Verint

  • Workforce management
  • Interaction recording
  • Speech and text analytics
  • Quality management
  • CX automation bots
  • Voice of the customer
  • Knowledge management
  • Open platform connectors

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 Verint
  • A SOC that wants log correlation and network flow analysis in one platform rather than buying an NDR product separatelynot Verint
  • An existing QRadar estate deciding whether to stay on premises or accept the migration path to a different vendor's platformnot Verint
  • Compliance-driven log retention and reporting where the audit requirement is specific about collection, retention and reportingnot Verint

Verint

  • A retail bank with 4,000 agents that must record and retain every advised sale under regulatory obligation and evidence retention on demandnot IBM QRadar
  • A government service centre running an inherited Avaya estate that needs modern analytics without replacing the telephonynot IBM QRadar
  • A multinational insurer forecasting across six sites and three languages where a spreadsheet-based rota has stopped scalingnot IBM QRadar
  • An enterprise wanting analytics over one hundred per cent of interactions because sampled quality scoring keeps missing the failure modes that generate complaintsnot 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.

Verint

  • Thoma Bravo took Verint private in November 2025 and is combining it with the directly competing Calabrio, so buyers signing multi-year agreements now cannot know which of the two overlapping product lines survives as the strategic one.
  • The catalogue is licensed piece by piece, including individually priced automation bots, so the quoted platform figure is rarely the figure you end up paying once the analytics, recording and bot modules are all in scope.
  • Implementations routinely run six to twelve months and effectively require a partner, which means the first year of a contract is spent paying for software that is not yet delivering.
  • The interface reflects two decades of accumulated enterprise features, and new supervisors need formal training to do things that a mid-market tool exposes in one screen.
  • It is priced and scoped for thousands of agents, so a 300-seat operation gets an enterprise contract, an enterprise implementation and enterprise complexity for a problem a lighter product would solve in weeks.

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

Verint

On request
  • Verint Open Platform$undefined/year
    • Workforce management and forecasting
    • Compliance recording and quality management
    • Speech and text analytics

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 Verint if

  • You need workforce management.
  • You work on Web, Windows.
  • You also want interaction recording.
Verint review

Questions people ask

Is IBM QRadar or Verint better?
Neither clearly leads. IBM QRadar starts at On request and Verint at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, IBM QRadar or Verint?
IBM QRadar starts at On request and Verint at On request.
Does IBM QRadar or Verint run on more platforms?
IBM QRadar runs on Web, Api. Verint runs on Web, Windows.
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 Verint is typically brought in for.
What can IBM QRadar do that Verint cannot?
IBM QRadar covers Offence model, Network flow analysis, Device Support Modules, Ariel query language. Verint covers Workforce management, Interaction recording, Speech and text analytics, Quality management.

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.

Verint: Who owns Verint now?

Thoma Bravo, which completed a 2 billion US dollar take-private in November 2025 and is combining Verint with its existing portfolio company Calabrio.

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.

Verint: Does that affect an existing contract?

Existing contracts continue, but roadmap and product overlap with Calabrio is unresolved. Ask for written commitments on support horizon and migration terms before renewing.

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.

Verint: Do I have to replace my telephony?

No. Verint is deliberately platform-agnostic and is commonly deployed over Avaya, Cisco, Genesys and Amazon Connect estates.

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.

Verint: Is pricing published?

No. Verint sells multi-year enterprise agreements quoted per module and per agent, with professional services costed separately.

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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