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Cybersecurity · head to head

IBM QRadar vs Motorola Vigilant

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
Motorola Vigilant logo

Motorola Vigilant

Cybersecurity

Fixed and mobile licence plate recognition with a shared law enforcement plate database

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.; Motorola Vigilant state law can decide eligibility outright: California's SB 34 imposes operator duties and restricts sharing ALPR data with out-of-state and federal agencies, and agencies have been audited and found non-compliant.
  • They diverge on capability: IBM QRadar covers Offence model, Motorola Vigilant covers Fixed LPR cameras.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which IBM QRadar and Motorola Vigilant actually diverge.

Attributes where IBM QRadar and Motorola Vigilant differ
AttributeIBM QRadarMotorola Vigilant
Pricing modelsubscriptionquote
PlatformsWeb, ApiWeb, Windows, iOS, Android
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 Motorola Vigilant

  • Fixed LPR cameras
  • Mobile LPR
  • LEARN database
  • VehicleManager analytics
  • Hotlist alerting
  • Published API
  • Audit logging

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

Motorola Vigilant

  • A police department building a hotlist alerting network on arterial roads into a jurisdictionnot IBM QRadar
  • An investigator reconstructing a suspect vehicle's movements across multiple agency jurisdictionsnot IBM QRadar
  • A toll or parking authority enforcing against a registered vehicle listnot IBM QRadar
  • A sheriff's office locating a vehicle associated with an active AMBER or missing person alertnot 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.

Motorola Vigilant

  • State law can decide eligibility outright: California's SB 34 imposes operator duties and restricts sharing ALPR data with out-of-state and federal agencies, and agencies have been audited and found non-compliant.
  • Local surveillance technology ordinances increasingly require a published usage policy, retention limits and a public council hearing before purchase, which can add many months or block the procurement entirely.
  • Motorola has faced litigation over its dual role as ALPR operator and end user, so the legal exposure of the data-sharing model is unresolved and sits partly with the purchasing agency.
  • The value comes from the shared LEARN database, which means the capability an agency actually buys depends on what other agencies contribute, and that can shrink if peers withdraw for legal or political reasons.
  • Nothing is published on price, and camera hardware, database subscription and analytics are separate line items, so the multi-year total is far higher than the initial camera quote suggests.

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

Motorola Vigilant

On request
  • Vigilant LPR$undefined/year
    • Fixed and mobile camera hardware quoted per unit
    • LEARN database access subscribed per agency
    • Analytics software licensed separately

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 Motorola Vigilant if

  • You need fixed lpr cameras.
  • You work on Web, Windows, iOS, Android.
  • You also want mobile lpr.
Motorola Vigilant review

Questions people ask

Is IBM QRadar or Motorola Vigilant better?
Neither clearly leads. IBM QRadar starts at On request and Motorola Vigilant at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, IBM QRadar or Motorola Vigilant?
IBM QRadar starts at On request and Motorola Vigilant at On request.
Does IBM QRadar or Motorola Vigilant run on more platforms?
IBM QRadar runs on Web, Api. Motorola Vigilant runs on Web, Windows, iOS, Android.
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 Motorola Vigilant is typically brought in for.
What can IBM QRadar do that Motorola Vigilant cannot?
IBM QRadar covers Offence model, Network flow analysis, Device Support Modules, Ariel query language. Motorola Vigilant covers Fixed LPR cameras, Mobile LPR, LEARN database, VehicleManager analytics.

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.

Motorola Vigilant: What is LEARN?

The Law Enforcement Archival Reporting Network, the shared database where plate reads from subscribing agencies are stored and queried. It is the core of the product.

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.

Motorola Vigilant: Can any agency buy it?

No. Several states restrict ALPR use and data sharing, and many municipalities require a published usage policy and a public hearing first. Check statute and local ordinance before budgeting.

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.

Motorola Vigilant: Does California allow sharing with federal agencies?

SB 34 restricts sharing ALPR information with out-of-state and federal agencies, and California agencies have been audited on precisely that point.

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.

Motorola Vigilant: Is it only for police?

No. Toll and parking authorities, and some commercial repossession and insurance operations, also use LPR, though the LEARN law enforcement network is agency restricted.

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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