Cybersecurity · head to head
DataGrail vs IBM QRadar

DataGrail
Cybersecurity
Privacy platform that finds shadow data systems and automates data subject requests across them
- 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: DataGrail no pricing is published, and while benchmarking suggests it undercuts OneTrust for comparable scope, cost still scales with request volume and connected systems, which grow with the business.; 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.
- They diverge on capability: DataGrail covers Live data discovery, IBM QRadar covers Offence model.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which DataGrail and IBM QRadar actually diverge.
| Attribute | DataGrail | IBM QRadar |
|---|---|---|
| Pricing model | quote | subscription |
| Founded | Unknown | 1911 |
Identical on both: starting price (On request), 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 DataGrail
- Live data discovery
- Request automation
- Audit trail
- Consent management
- Integration catalogue
- Risk monitoring
- Consumer request portal
- Reporting
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.
DataGrail
- A consumer brand whose deletion requests keep missing data in marketing tools the privacy team did not know existednot IBM QRadar
- A company processing hundreds of CCPA requests a month where manual fulfilment has become a full-time jobnot IBM QRadar
- A privacy team leaving OneTrust because the platform tracked requests but staff still completed them by handnot IBM QRadar
- An organisation needing evidence for a regulator that deletion actually occurred in every system, not that a ticket was closednot 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 DataGrail
- A SOC that wants log correlation and network flow analysis in one platform rather than buying an NDR product separatelynot DataGrail
- An existing QRadar estate deciding whether to stay on premises or accept the migration path to a different vendor's platformnot DataGrail
- Compliance-driven log retention and reporting where the audit requirement is specific about collection, retention and reportingnot DataGrail
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DataGrail
- No pricing is published, and while benchmarking suggests it undercuts OneTrust for comparable scope, cost still scales with request volume and connected systems, which grow with the business.
- Automated fulfilment only works for systems with a supported connector, so homegrown applications and legacy databases still need manual handling, and those are usually where the awkward data lives.
- Discovery works by observing integrations and traffic patterns, so genuinely isolated systems, offline data and files on employee machines remain invisible and outside the data map.
- It is narrower than the enterprise privacy suites, lacking the assessment, third-party risk and wider GRC modules a large regulated organisation will also need, so it may be one of two platforms rather than the only one.
- Deletion automation is irreversible and mistakes are unrecoverable, so teams need real confidence in identity verification before enabling it, and that caution often keeps deletion semi-manual for months after purchase.
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
DataGrail
On request- DataGrail Platform$undefined/year
- Data discovery and mapping
- Data subject request automation
- Consent management
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 DataGrail if
- You need live data discovery.
- You work on Web, API.
- You also want request automation.
Choose IBM QRadar if
- You need offence model.
- You work on Web, Api.
- You also want network flow analysis.
Questions people ask
- Is DataGrail or IBM QRadar better?
- Neither clearly leads. DataGrail 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, DataGrail or IBM QRadar?
- DataGrail starts at On request and IBM QRadar at On request.
- Does DataGrail or IBM QRadar run on more platforms?
- DataGrail runs on Web, API. IBM QRadar runs on Web, Api.
- What is DataGrail best used for?
- DataGrail is most often used for a consumer brand whose deletion requests keep missing data in marketing tools the privacy team did not know existed, a company processing hundreds of ccpa requests a month where manual fulfilment has become a full-time job, a privacy team leaving onetrust because the platform tracked requests but staff still completed them by hand, an organisation needing evidence for a regulator that deletion actually occurred in every system, not that a ticket was closed. Of those, a consumer brand whose deletion requests keep missing data in marketing tools the privacy team did not know existed and a company processing hundreds of ccpa requests a month where manual fulfilment has become a full-time job are not what IBM QRadar is typically brought in for.
- What can DataGrail do that IBM QRadar cannot?
- DataGrail covers Live data discovery, Request automation, Audit trail, Consent management. IBM QRadar covers Offence model, Network flow analysis, Device Support Modules, Ariel query language.
Answered from the vendors’ own pages
DataGrail: How is DataGrail different from OneTrust?
OneTrust orchestrates the workflow; DataGrail focuses on connecting to systems and completing the request, and benchmark data suggests it prices materially below OneTrust for comparable scope.
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.
DataGrail: Does it find systems we do not know about?
Yes. Continuous discovery of unsanctioned tools processing personal data is its main technical claim.
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.
DataGrail: What does it cost?
Not published. Pricing is quoted by request volume and connected systems, with multi-year commitments typically discounted.
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.
DataGrail: Does it cover consent as well as requests?
Yes, it includes consent management, though publishers needing certified advertising consent usually use a specialist CMP.
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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