Cybersecurity · head to head
IBM QRadar vs IBM SPSS

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
- -

IBM SPSS
Machine Learning
Statistical analysis software for data science
- From
- Free
- Rated
- -
The short version
- Only IBM SPSS has a free tier, so it costs nothing to try first.
- 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.; IBM SPSS add-on packages are priced separately from the base subscription, and the promotional 45% discount on them excludes renewals
- They diverge on capability: IBM QRadar covers Offence model, IBM SPSS covers Statistical analysis.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which IBM QRadar and IBM SPSS actually diverge.
| Attribute | IBM QRadar | IBM SPSS |
|---|---|---|
| Starting price | On request | Free |
| Free tier | No | Yes |
| Platforms | Web, Api | Linux, Mac, Windows |
| Category | Cybersecurity | Machine Learning |
Identical on both: pricing model (subscription), user rating (Not yet rated), founded (1911).
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 IBM SPSS
- Statistical analysis
- Predictive modeling
- Data visualization
- Survey analysis
- Decision trees
- Python
- R
- Excel
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 IBM SPSS
- A SOC that wants log correlation and network flow analysis in one platform rather than buying an NDR product separatelynot IBM SPSS
- An existing QRadar estate deciding whether to stay on premises or accept the migration path to a different vendor's platformnot IBM SPSS
- Compliance-driven log retention and reporting where the audit requirement is specific about collection, retention and reportingnot IBM SPSS
IBM SPSS
- Statistical testing and regression analysis for academic and market researchnot IBM QRadar
- Predictive modelling and forecasting without writing codenot 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.
IBM SPSS
- Add-on packages are priced separately from the base subscription, and the promotional 45% discount on them excludes renewals
- Subscription cost renews at the then current price at the end of the first year, so the advertised rate applies to the first term only
- Prices shown are described by IBM as indicative, vary by country and exclude applicable taxes and duties
- Extended access periods of 12 months or more are handled as tailored pricing rather than a published rate
- Advanced statistics, custom tables, decision trees and forecasting are separate add-ons rather than part of the base product
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
IBM SPSS
Free- TrialFree
- 14-day trial
- Full features
- Base$99/month
- Core statistics
- Data management
Which should you pick?
Choose IBM QRadar if
- You need offence model.
- You work on Web, Api.
- You also want network flow analysis.
Choose IBM SPSS if
- You need statistical analysis.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want predictive modeling.
Questions people ask
- Is IBM QRadar or IBM SPSS better?
- Neither clearly leads. IBM QRadar starts at On request and IBM SPSS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, IBM QRadar or IBM SPSS?
- IBM SPSS has a free tier; the other does not. Paid plans start at On request for IBM QRadar and Free for IBM SPSS.
- Does IBM QRadar or IBM SPSS run on more platforms?
- IBM QRadar runs on Web, Api. IBM SPSS runs on Linux, Mac, Windows.
- Can I use IBM SPSS for free?
- Yes. IBM SPSS has a free tier, so you can try it without paying. IBM QRadar starts at On request.
- 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 IBM SPSS is typically brought in for.
- What can IBM QRadar do that IBM SPSS cannot?
- IBM QRadar covers Offence model, Network flow analysis, Device Support Modules, Ariel query language. IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis.
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.
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.
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.
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.
Related pages
Other head to heads
- IBM QRadar vs Bitdefender Total Security
- IBM QRadar vs 1Password
- IBM QRadar vs Norton 360
- IBM QRadar vs LastPass
- IBM QRadar vs Microsoft Sentinel
- IBM QRadar vs Splunk Enterprise Security
- IBM QRadar vs CrowdStrike Falcon
- IBM QRadar vs LogRhythm SIEM
- IBM QRadar vs Recorded Future
- IBM QRadar vs SentinelOne Singularity
- IBM QRadar vs Proofpoint
- IBM QRadar vs Trend Micro Vision One
- IBM QRadar vs Arnica
- IBM QRadar vs Authelia
- IBM QRadar vs Authy
- IBM QRadar vs Baffle
- IBM QRadar vs Beyond Identity
- IBM QRadar vs BeyondTrust
- IBM QRadar vs Azure Machine Learning
- IBM QRadar vs DataRobot
- IBM QRadar vs AWS SageMaker
- IBM QRadar vs Google Vertex AI
- IBM QRadar vs SAS
- IBM QRadar vs Stata
- IBM QRadar vs Palantir Foundry
- IBM QRadar vs Alteryx
- IBM QRadar vs Snowflake
- IBM QRadar vs Databricks
- IBM QRadar vs Dataiku
- IBM QRadar vs RapidMiner
- IBM QRadar vs Ray
- IBM QRadar vs Seldon
- IBM QRadar vs TensorBoard
- IBM QRadar vs Amazon Redshift ML
- IBM QRadar vs JMP
- IBM SPSS vs Bitdefender Total Security
- IBM SPSS vs 1Password
- IBM SPSS vs Norton 360
- IBM SPSS vs LastPass
- IBM SPSS vs Microsoft Sentinel
- IBM SPSS vs Splunk Enterprise Security
- IBM SPSS vs CrowdStrike Falcon
- IBM SPSS vs LogRhythm SIEM
- IBM SPSS vs Recorded Future
- IBM SPSS vs SentinelOne Singularity
- IBM SPSS vs Proofpoint
- IBM SPSS vs Trend Micro Vision One
- IBM SPSS vs Arnica
- IBM SPSS vs Authelia
- IBM SPSS vs Authy
- IBM SPSS vs Baffle
- IBM SPSS vs Beyond Identity
- IBM SPSS vs BeyondTrust
- IBM SPSS vs Azure Machine Learning
- IBM SPSS vs DataRobot
- IBM SPSS vs AWS SageMaker
- IBM SPSS vs Google Vertex AI
- IBM SPSS vs SAS
- IBM SPSS vs Stata
- IBM SPSS vs Palantir Foundry
- IBM SPSS vs Alteryx
- IBM SPSS vs Snowflake
- IBM SPSS vs Databricks
- IBM SPSS vs Dataiku
- IBM SPSS vs RapidMiner
- IBM SPSS vs Ray
- IBM SPSS vs Seldon
- IBM SPSS vs TensorBoard
- IBM SPSS vs Amazon Redshift ML
- IBM SPSS vs JMP
