Cybersecurity · head to head
Drata vs IBM QRadar

Drata
Cybersecurity
Agentic trust management with compliance automation.
- From
- On request
- Rated
- -

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
- -
The short version
- Each has a real cost: Drata no published pricing for any tier; requires contacting sales team for quotes; 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.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Drata and IBM QRadar actually diverge.
| Attribute | Drata | IBM QRadar |
|---|---|---|
| Founded | Unknown | 1911 |
Identical on both: starting price (On request), pricing model (subscription), free tier (No), platforms (Web, API), 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 Drata
Nothing recorded that IBM QRadar does not also cover.
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
What people use each for
The jobs each tool is most often brought in to do.
Drata
- SaaS companies automating SOC 2 certification for enterprise salesnot IBM QRadar
- Organisations managing multi-framework compliance simultaneouslynot IBM QRadar
- Vendor management programmes requiring third-party security assessmentsnot IBM QRadar
- Enterprises implementing AI governance and monitoring AI systemsnot IBM QRadar
- Organisations seeking continuous compliance monitoring rather than point-in-time auditsnot IBM QRadar
IBM QRadar
- A regulated enterprise that must keep log data on premises or in a specific jurisdiction and cannot use a shared SaaS SIEMnot Drata
- A SOC that wants log correlation and network flow analysis in one platform rather than buying an NDR product separatelynot Drata
- An existing QRadar estate deciding whether to stay on premises or accept the migration path to a different vendor's platformnot Drata
- Compliance-driven log retention and reporting where the audit requirement is specific about collection, retention and reportingnot Drata
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Drata
- No published pricing for any tier; requires contacting sales team for quotes
- Solution tiers (Startup, Growth, Enterprise) are marketing categories with no corresponding published prices or feature differentiation
- No transparency on cost per framework, per user, or based on organisational size
- AI questionnaire automation claims 375+ hours saved annually but does not publish per-questionnaire costs or limits
- Compared directly with Vanta by customers, but pricing opaque for cost-benefit analysis
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.
Pricing, plan by plan
Drata
On request- Startup$undefined/variable
- 'Launch Trust Fast' with automated evidence collection
- SOC 2 and other framework support
- Basic compliance automation
- Growth$undefined/variable
- 'Accelerate Trust Smoothly' as teams expand
- Multi-framework compliance
- Enhanced AI automation
- Enterprise$undefined/variable
- 'Command Trust at Scale' for complex needs
- Advanced GRC capabilities
- Dedicated support
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
Which should you pick?
Choose IBM QRadar if
- You need offence model.
- You work on Web, Api.
- You also want network flow analysis.
Questions people ask
- Is Drata or IBM QRadar better?
- Neither clearly leads. Drata starts at On request and IBM QRadar at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Drata or IBM QRadar?
- Drata starts at On request and IBM QRadar at On request.
- Does Drata or IBM QRadar run on more platforms?
- Drata runs on Web, API. IBM QRadar runs on Web, Api.
- What is Drata best used for?
- Drata is most often used for saas companies automating soc 2 certification for enterprise sales, organisations managing multi-framework compliance simultaneously, vendor management programmes requiring third-party security assessments, enterprises implementing ai governance and monitoring ai systems. Of those, saas companies automating soc 2 certification for enterprise sales and organisations managing multi-framework compliance simultaneously are not what IBM QRadar is typically brought in for.
- What can Drata do that IBM QRadar cannot?
- IBM QRadar covers Offence model, Network flow analysis, Device Support Modules, Ariel query language.
Answered from the vendors’ own pages
Drata: What compliance frameworks does Drata support?
Drata supports multiple frameworks including SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS and others, with multi-framework management capabilities.
SourceIBM 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.
Drata: Does Drata automate questionnaires?
Yes. Drata's AI uses approved content to draft consistent responses, automating questionnaire completion and saving claimed 375+ hours per year.
SourceIBM 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.
Drata: How many customers does Drata have?
Drata serves 8,500+ global customers ranging from startups to enterprises, with a 4.8/5.0 rating on G2.
SourceIBM 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.
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