Cybersecurity · head to head
IBM QRadar vs Relativity

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
- -

Relativity
Legal
Ediscovery and legal data platform for large matters
- From
- On request
- Rated
- -
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.; Relativity quote-only and expensive, typically billed on data volume, so costs escalate with matter size
- They diverge on capability: IBM QRadar covers Offence model, Relativity covers Large-scale processing.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which IBM QRadar and Relativity actually diverge.
| Attribute | IBM QRadar | Relativity |
|---|---|---|
| Pricing model | subscription | quote |
| Platforms | Web, Api | Web, Cloud, Self-hosted |
| Category | Cybersecurity | Legal |
| Founded | 1911 | Unknown |
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 Relativity
- Large-scale processing
- Review workflow
- Analytics and active learning
- Application ecosystem
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 Relativity
- A SOC that wants log correlation and network flow analysis in one platform rather than buying an NDR product separatelynot Relativity
- An existing QRadar estate deciding whether to stay on premises or accept the migration path to a different vendor's platformnot Relativity
- Compliance-driven log retention and reporting where the audit requirement is specific about collection, retention and reportingnot Relativity
Relativity
- Large litigation with very high document volumesnot IBM QRadar
- Corporate investigations requiring defensible, auditable reviewnot IBM QRadar
- Firms whose review process is already built around the platformnot 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.
Relativity
- Quote-only and expensive, typically billed on data volume, so costs escalate with matter size
- Complex enough that certified specialists are a job title, which is a real staffing cost
- Considerable overkill for small matters, where lighter self-service tools are far cheaper
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
Relativity
On requestNo published plan breakdown. See the Relativity review.
Which should you pick?
Choose IBM QRadar if
- You need offence model.
- You work on Web, Api.
- You also want network flow analysis.
Choose Relativity if
- You need large-scale processing.
- You work on Web, Cloud, Self-hosted.
- You also want review workflow.
Questions people ask
- Is IBM QRadar or Relativity better?
- Neither clearly leads. IBM QRadar starts at On request and Relativity at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, IBM QRadar or Relativity?
- IBM QRadar starts at On request and Relativity at On request.
- Does IBM QRadar or Relativity run on more platforms?
- IBM QRadar runs on Web, Api. Relativity runs on Web, Cloud, Self-hosted.
- 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 Relativity is typically brought in for.
- What can IBM QRadar do that Relativity cannot?
- IBM QRadar covers Offence model, Network flow analysis, Device Support Modules, Ariel query language. Relativity covers Large-scale processing, Review workflow, Analytics and active learning, Application ecosystem.
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.
Relativity: What does Relativity cost?
It does not publish rates. Ediscovery is generally billed on data volume and users, quoted per matter or organisation.
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.
Relativity: Is Relativity only for law firms?
No. Corporate legal departments and government agencies use it for investigations as well as litigation.
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.
Relativity: Do I need trained staff?
In practice yes. Relativity certification is a recognised specialism, and that staffing cost is part of the total.
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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