Which SIEM fits your team: QRadar or OpenSearch with Security Analytics
QRadar on premises fits best when the team needs packaged detection content, vendor support and a predictable operating model more than it needs control over every rule. If your renewal is driven by a licensing change or a data residency requirement that QRadar on premises already meets, the question is usually whether your staff can run a SIEM you do not have to build. QRadar ships with a large library of content and IBM support for the on-premises product, which matters most for teams with little detection engineering capacity. Keep in mind that the SaaS business moved to Palo Alto Networks in 2024, so the on-premises product is the path that continues to receive IBM features and support. Confirm the current support terms and entitlement dates with IBM for your agreement before you decide.
OpenSearch with Security Analytics fits when the organization wants no license fee for the search and storage layer, direct control over the stack, and staff who can build and tune detectors. Security Analytics applies prepackaged, open source Sigma rules to a chosen log type, generates a finding each time a detector matches, and sends alerts to channels such as email or Slack. Its correlation rules link findings across log types into threat scenarios. That model works well when your engineers can write or adapt Sigma rules, map log fields to the rule logic and own the correlation logic over time. Your team also takes on cluster sizing, security plugin configuration (roles, TLS and authentication backends) and upgrades, and DeployOpen can help plan and harden that work as a fixed-scope engagement.
The decision turns on three things: sustained event volume, who owns the detection content, and how many people you can staff for it. Ask IBM for the licensing metric that applies to your event and flow rates, and model the same rates against cluster hardware, storage retention and engineering hours for OpenSearch. Then list the detections you rely on today and mark which ones you would need to rewrite, because that inventory determines the migration effort. If your team cannot commit engineers to content work, a packaged SIEM may cost less in practice even though OpenSearch has no license fee.
Which option fits which scenario
This table matches common situations to the platform that usually fits better, with the reason tied to licensing, packaged content or staffing. Read each row as a starting position: the fit depends on your event volume, staff skills and how much detection content you want to build yourself. Across most rows, the trade-off is the same: QRadar buys packaged content and vendor support with recurring licensing, while OpenSearch removes the license fee and moves tuning and content work to your team.
| Scenario | Better fit | Reason |
|---|---|---|
| Fixed-budget renewal with no spare staff time | QRadar on premises | Recurring EPS or MVS licensing is predictable and packaged rules arrive with the product, so the work to build detection content stays small. |
| Fixed-budget renewal with an engineering team that can absorb tuning | OpenSearch with Security Analytics | No license fee for the software, so the budget shifts to hardware, storage and staff time for Sigma rule tuning and correlation rules. |
| Strict data residency or air-gapped networks | OpenSearch with Security Analytics | The software runs entirely inside your own infrastructure, and Apache 2.0 licensing imposes no phone-home or usage reporting requirement. Confirm any licensing terms with your counsel. |
| Small SOC without detection engineers | QRadar on premises | Packaged offenses, rules and building blocks reduce the content your analysts must write. Ask the vendor which content is included at your license tier. |
| Team with existing OpenSearch or Elasticsearch 7.10 skills | OpenSearch with Security Analytics | Operators can reuse index management, dashboards and cluster operations they already run, which lowers the learning curve for the platform itself. |
| Regulated environment that requires a contracted vendor support path | QRadar on premises | IBM support contracts are the established path for this model. OpenSearch support depends on a commercial partner or your own staff, so confirm response commitments in writing before you choose it. |
| Team migrating from QRadar AQL searches and offense rules | Depends on rule volume | Rebuilding AQL searches and offense logic as Sigma rules and correlation rules is a planned project. Small rule sets move quickly, while large custom libraries need a scoped migration plan. |
How QRadar licensing compares with OpenSearch's no license fee
IBM QRadar on premises has been licensed through several metrics, and the metric you hold determines what grows your bill. Events per second (EPS), flows per minute (FPM) and Managed Virtual Servers (MVS) each measure a different part of the platform, so a renewal can change shape even when the event volume stays flat. Ask IBM or your reseller which metric your current agreement uses and how it is counted.
- EPS licensing: Charges are tied to the sustained rate of events the deployment processes, so bursts and new log sources can move the tier.
- FPM licensing: Network flow collection is metered separately, so adding flow sensors adds a second license line.
- MVS licensing: Pricing follows the virtual servers the deployment runs, so architecture changes such as adding a collector can change the count.
- Support and subscriptions: Support and software subscription terms usually renew alongside the license and are a recurring cost in their own right.
- Appliance hardware: Hardware appliances carry their own refresh and maintenance cycles that sit outside the license figure.
Confirm the current metric, tier limits, true-up rules and renewal terms directly with IBM, because they change and are set in your contract.
OpenSearch is released under the Apache License, Version 2.0, and the OpenSearch FAQ does not describe any paid edition. That means the software itself carries no per-event, per-flow or per-server fee. Your costs move to the systems that run it, the people who operate it and any outside help you buy. The Security Analytics plugin and the Security plugin ship within the same open source project, so detection content and access controls do not need a separate license tier.
- No software fee: Running OpenSearch and its Security Analytics plugin does not generate a license invoice.
- Infrastructure cost: Compute, memory, storage and network capacity scale with your ingestion rate and retention period.
- Staff cost: Engineers install, patch, tune shards and maintain detectors, and that time is the largest recurring line for most teams.
- Optional support: Commercial support from third parties is a purchase you choose, not a license requirement.
- Foundation context: The OpenSearch Software Foundation is a Linux Foundation project, but it does not oversee the technical direction of the project.
Confirm the license text and current edition statements on the OpenSearch FAQ before you rely on them in a procurement file.
Removing a license line does not remove the cost of running a SIEM. It shifts that cost to your budget for infrastructure, labor and support, and the shape of the spend changes. Hardware is bought or rented on your schedule rather than on the vendor's appliance cycle, and the work of keeping the cluster healthy becomes an internal responsibility. Plan the comparison around the same event rate, retention and redundancy target on both sides.
- Storage and retention: Indexed event data is often the largest infrastructure driver, so retention periods change the total more than the software does.
- Redundancy: A production cluster needs replicas and enough nodes to survive a failure, which adds capacity beyond the minimum that runs the workload.
- Upgrades and patching: Each minor release and security fix needs testing, change control and a maintenance window.
- Engineering time: Tuning indices, managing detectors and keeping Sigma-based content current take sustained effort.
- Outside help: If you engage an implementation partner, the fee follows the written scope, not a license metric.
Ask any implementation partner for a quote that lists hardware, storage, staff time and support as separate lines, so you can compare them with the QRadar renewal line by line.
QRadar license terms are set by your contract and by IBM's current offering, and they can differ between customers, regions and renewal dates. Before you put a figure next to an OpenSearch estimate, get the terms in writing. Treat any published page or reseller summary as a starting point rather than a binding statement of your entitlement.
- Metric and counting rules: Confirm whether you are licensed by EPS, FPM or MVS, and how bursts, peaks and new sources are counted.
- Renewal and true-up: Ask what happens when your measured rate exceeds the licensed tier at renewal or during an audit.
- Support scope: Confirm which support level, versions and features are included and for how long.
- Exit terms: Check notice periods, data return obligations and any fees for ending the agreement early.
- Deployment form: Confirm whether your license covers on-premises appliances, virtual deployments or both.
Record the answers in your renewal file, because they set the baseline that the OpenSearch cost model has to beat or match.
Where your log data lives and who can access it
Both options keep log data inside infrastructure you control, so the questions move from where a vendor stores events to how your own identity, roles and audit trail are configured. The cards below cover hosting, sign-in, access control, logging and encryption, and the compliance evidence each one produces.
Hosting location of event data
QRadar on premises is also self-hosted, with events stored on appliances or software you deploy in your own data center or cloud account, so residency is set by your own architecture. OpenSearch stores indices on nodes you run, whether in Docker, Kubernetes, tarball or package installs. Confirm backup targets, snapshot repositories and any vendor support access paths, since these determine where copies of logs end up.
Single sign-on with your identity provider
The OpenSearch Security plugin supports SAML, OpenID Connect, Active Directory and LDAP, Kerberos and JSON Web Token authentication backends. Map the analyst groups in your directory to OpenSearch roles before go-live, and test how sessions expire for SOC staff. Check how QRadar's own authentication integrates with your directory today so the migration does not create a second set of accounts.
Role-based access control
OpenSearch Security provides role-based access control that limits which indices, actions and dashboards each user can reach. Analysts handling a single business unit can be restricted to their own log sources, while detection engineers hold rights to change detectors. Review how QRadar's user roles and security profiles map onto these roles, because the mapping is rarely one to one and gaps show up in investigations.
Document and field-level restrictions
Document-level and field-level security let you hide specific events or fields from some users, and field masking can obscure values such as usernames or IP addresses. This matters when logs contain personal data or regulated customer records that only a subset of responders should see. Test these rules with real analyst queries before relying on them, and confirm which fields your correlation rules and dashboards read so that masking does not silently break detections.
Audit logs of user and admin activity
OpenSearch Security includes audit logs, which record authentication and access activity so you can show who queried or changed security content. Decide where these audit records are stored, how long they are kept, and who can read them, since a SIEM administrator should not be the only reviewer of their own actions. Compare the audit coverage and export options with what QRadar records for its own administrative changes.
TLS and compliance evidence
OpenSearch Security provides TLS for node and client traffic, so log transport and cluster communication can be encrypted inside your network. Certificate issuance, rotation and key storage remain your responsibility. DeployOpen prepares the configuration, procedures and evidence for compliance assessments, but independent auditors and certification bodies issue any audit report or certification, so confirm early which control evidence your assessor expects.
What moves to your team when you replace packaged SIEM content
With QRadar, much of the detection content arrives packaged: offense rules, building blocks and the log source mappings that tell the product how to read events. With OpenSearch Security Analytics, the starting point is different. A detector applies a set of prepackaged, open source Sigma rules to one chosen log type, and every time a detector matches a rule against a log event, it generates a finding. Correlation rules then link findings across different log types into threat scenarios shown in a correlation graph. The rules are open and portable, but choosing which log types to cover, which rules to enable, and how findings chain together is work your team owns from the first day.
The recurring work falls into four areas. First, your team decides which log types each detector reads, and confirms that the fields those rules expect are actually present in your ingested data, since a rule that never matches is a silent gap. Second, it tunes noisy rules by excluding known-good activity such as backup agents or scanners, and documents each exclusion so an auditor or a new analyst can see why it exists. Third, it writes and maintains correlation logic for the scenarios that matter to your environment. Fourth, it owns alert routing to email or Slack, and reviews findings on a schedule so that alerts do not go unread. Before committing, confirm with the OpenSearch documentation which Security Analytics features are current in the version you plan to run.
This effort is acceptable when you have a named security team that can own detection engineering, a clear list of log sources you need covered, and the appetite to test and document every change. It is worth paying for QRadar's packaged content when your team is small, your auditors expect vendor-maintained content mapped to specific frameworks, or your staff has no time to build detection engineering skills. In that case, ask IBM what content updates, log source extensions and support are included in your current license, and compare that with the hours your own team would spend on the same work. The tradeoff is a cost you can measure against a cost you cannot yet estimate.
What a QRadar versus OpenSearch cost comparison includes
A fair comparison puts QRadar's licensing and appliance costs next to OpenSearch's hardware and staff costs, for the same event rate and retention. Each card below names one component, whether it is one-time or recurring, and what moves it up or down.
QRadar licensing model
QRadar on premises is licensed by events per second (EPS), flows per minute (FPM) or as Managed Virtual Servers (MVS), depending on how your agreement is written. This is a recurring cost, and the unit you are billed on decides what drives it. Ask your IBM representative which metric applies, how bursts above the licensed rate are handled, and whether flow licensing is separate from event licensing.
QRadar appliances or virtual hardware
QRadar runs on hardware appliances or on virtual machines, and each has its own purchase, refresh and rack or hypervisor cost. Appliance cost is largely one-time at purchase, with refresh later. Ask for the appliance models that match your sustained EPS, storage tier and HA design, and confirm which licenses are bundled with them.
QRadar support renewals
Support for QRadar on premises is typically a recurring annual charge that IBM renews. Confirm the support level, what it covers (product fixes, content updates, upgrade help) and the renewal terms in writing. Support renewals are often the largest recurring line that grows without any change in your event volume.
OpenSearch software and cluster hardware
OpenSearch is licensed under Apache 2.0 with no license fee, so the cost is the infrastructure it runs on. Compute, memory and disk for indexers and dashboard nodes are mostly one-time purchases or recurring cloud or data center charges. Size them from your sustained ingest rate, replica count and search load, and confirm them with a test cluster before committing.
Storage and retention
Storage is recurring in both stacks and scales with event rate multiplied by retention period and replica count. OpenSearch storage costs follow whatever disks or object tiers you choose, while QRadar storage is tied to its appliance or virtual disk sizing. Put your required retention per log type into the quote request so both sides price the same data.
Staff time for detector and content work
This is the largest cost difference. QRadar's packaged rules and content come with the product, while OpenSearch Security Analytics starts from open source Sigma rules that your team maps to each log type, tunes and correlates. Estimate the hours for log source onboarding, false positive tuning and correlation rules, and ask a partner to scope that work in writing.
Upgrades and outside support
OpenSearch releases arrive on a regular minor cadence, and each version stays in maintenance for a limited period, so upgrades recur. Your team, or a partner under a fixed-scope or retainer agreement, carries the upgrade and patch work that IBM otherwise handles through support. Ask whether a quote includes upgrades, backups and hardening, and what is excluded.
How a move from QRadar to OpenSearch proceeds
The sequence turns QRadar's event pipeline and offense logic into an OpenSearch cluster with detectors and findings, proven side by side with QRadar before any appliance is switched off. Each stage ends with a check that the team can verify.
Inventory log sources and offense rules
Your team lists every log source sending events to QRadar, with its event rate, retention need and owner, and exports every custom rule, building block and report that drives offenses. DeployOpen can run this inventory alongside your QRadar administrators if the scope is agreed in writing first. The step is done when each source and each rule has a named owner and a decision: keep, rebuild or retire. Confirm the rule export method with the sibling migration page on AQL and Ariel details before starting.
Size and stand up the OpenSearch cluster
Size the cluster from the measured event rate, retention period and search load, not from the QRadar license tier. Choose the install method your platform team supports, such as Docker, Helm, the Kubernetes Operator or packages, and enable the Security plugin with TLS and role-based access before any log data arrives. Confirm the current release line and its maintenance window with the OpenSearch releases page, since minor versions ship about every eight weeks. The step is done when a test index accepts events from a sample source and access controls behave as designed.
Connect log sources to the new pipeline
Redirect each log source to the new collection path in order of risk, starting with low-volume sources that have clear parsing. Where QRadar relied on device support modules to parse events, your team must confirm that each source produces fields the detectors can match, which is a field mapping task rather than a configuration toggle. The step is done when every source in the inventory writes to an index with the expected fields and a documented parsing owner.
Rebuild detection content as detectors and Sigma rules
Create a detector for each log type, start from the prepackaged open source Sigma rules that match your sources, and tune them to your environment. Rebuild offense logic that spans multiple log types as correlation rules, and map each rebuilt rule back to the QRadar rule it replaces. Connect alerts to the channels your responders use, such as email or Slack. The step is done when each retained QRadar rule has a matching detector or correlation rule, a test event that triggers it, and a named tuning owner.
Run both platforms in parallel
Keep QRadar receiving the same sources while OpenSearch produces findings, and compare alert volumes, false positives and missed detections for each rebuilt rule over an agreed period. Your SOC decides which differences are acceptable and which need tuning, and DeployOpen can document the comparison as evidence if your scope includes it. The step is done when the SOC signs off on the rule set in writing and open differences have owners and dates.
Export history and retain required records
Move the event history your retention policy requires into OpenSearch or an archive you control, and export saved searches, reports and rule definitions that auditors or incident responders still need. Confirm the export paths and what each one leaves behind with the QRadar export guidance before deleting any data. The step is done when a sample of archived events can be retrieved and the retention owner has accepted the archive.
Retire QRadar in stages
Switch off QRadar collection source by source, keep the appliances read-only for the retention window your policy sets, and remove them only after the archive and rule sign-off are complete. Withdraw QRadar support and subscription renewals only when the replacement carries the same detections. The step is done when the last log source is removed, the read-only period has ended and the decommissioning record is filed with the platform owner.
Questions buyers ask before choosing OpenSearch over QRadar
What does moving from QRadar to OpenSearch cost in effort?
The effort is mostly people time, not license fees, because OpenSearch is Apache 2.0 licensed and the OpenSearch FAQ does not describe any paid edition. The main drivers are the number of log sources you must re-onboard, how many QRadar custom properties, rules and reports you need to rebuild, the volume of history you intend to keep, and how much of your AQL-based content is reused. Recurring costs are the hardware or cloud capacity for the cluster, storage for retained events, and the staff hours to tune detectors and triage findings. Ask any outside partner for a written scope that lists each of these items separately, so you can compare the one-time migration work against the ongoing run cost.
Can our team migrate from QRadar to OpenSearch without outside help?
Yes, a team with Linux, Elasticsearch-style search and detection engineering experience can do it, provided it has time and capacity for the work. OpenSearch documents installation through Docker, Helm, the OpenSearch Kubernetes Operator, tarball, RPM, Debian packages, an Ansible playbook and Windows, so the platform itself is not the hard part. The harder parts are rebuilding offense logic as detectors, mapping log sources, and validating that alerts fire as expected. Teams that lack this experience often bring in an implementation partner for a fixed-scope piece, such as cluster design or detection content, and keep operations in house.
How long does a QRadar to OpenSearch migration take?
The supplied facts do not give a migration duration, and any figure would depend on your environment. The duration is set by the number of log sources, the size of your rule and report library, how much historical data you must keep searchable, and the number of teams who need to validate detections before you retire QRadar. Most organizations run both platforms in parallel for a period, which extends the timeline. Ask for a schedule in the written scope with phases, acceptance criteria and a list of assumptions, and confirm each assumption against your own inventory of log sources and content.
What does the work require from our security and platform staff?
Expect three skill areas: platform operations for the OpenSearch cluster, detection engineering for rule and detector content, and security analysis for triage. Operations staff manage cluster sizing, index lifecycle, backups and upgrades. Detection engineers translate QRadar offenses and building blocks into detectors built on prepackaged Sigma rules, and they tune those detectors to reduce noise. Analysts need training on the OpenSearch Dashboards workflow for findings and correlation graphs. Plan for these roles to be filled by named people before the migration starts, because the content work often takes longer than the infrastructure work.
Does OpenSearch have a paid edition or vendor support?
The OpenSearch FAQ does not describe a paid edition, and all software in the OpenSearch project is released under the Apache License, Version 2.0. The OpenSearch Software Foundation is a Linux Foundation project, but it is not involved in technical oversight of the project, so it does not sell support. Commercial support, if you want it, comes from third-party providers or an implementation partner under a separate written agreement. Ask any provider to state in writing what support covers, which versions it applies to, and how response is handled, because the open-source license alone does not include an SLA.
How do OpenSearch upgrades and end-of-life dates affect our planning?
OpenSearch publishes a new minor version about every eight weeks, and the release page lists 3.8.0 (August 4, 2026) and 3.9.0 (September 29, 2026). Each version stays under maintenance until the next major version enters maintenance or one year passes, whichever is longer. During maintenance, versions receive bug fixes and security patches but no new features. Version 1 reached end of life on May 6, 2025, and version 2 is maintained through the 4.0 GA release. Build a regular upgrade cycle into your operating plan, test detectors after each upgrade, and track the end-of-life date of the version you run.
Does OpenSearch have a direct equivalent to QRadar flow analysis?
No, OpenSearch Security Analytics does not replace QRadar's network flow analysis as a direct feature. Security Analytics analyzes ingested log data against detection rules and correlates findings across log types, which covers log-based detection but not flow collection and network activity analysis. If QRadar flow licensing is part of your current setup, plan a separate component for network visibility, such as Security Onion, which bundles Suricata, Zeek and the Elastic Stack, or confirm with your vendor which flow sources you can ingest as logs. Document which flow-based detections you rely on today, then test each one against the replacement before you retire QRadar.
How DeployOpen helps you evaluate, implement or migrate
DeployOpen plans and implements self-hosted OpenSearch inside your own infrastructure, whether that is your cloud accounts, data centers or an air-gapped network. For a QRadar replacement, the work usually starts with a sizing exercise: your sustained event rate, retention periods, the number of OpenSearch data and dashboard nodes, and how the Security Analytics plugin will be deployed alongside them. The same engagement covers the parts that are easy to underestimate: TLS for node and client traffic, role-based access control and audit logging through the OpenSearch Security plugin, and the identity backend you already use, whether that is SAML, OpenID Connect, LDAP or Active Directory. Ask any implementation partner to show the written sizing assumptions before accepting a design.
Detection content is where most of the effort in this move sits. DeployOpen can build the detectors you need from the prepackaged Sigma rules, tune them against your own log sources, and rebuild the correlation rules that replace QRadar offense logic, so that the correlation graph reflects the threat scenarios your analysts care about. Hardening, backup and restore testing, upgrade procedures tied to OpenSearch's maintenance policy, and operating documentation are delivered as written artifacts that your team keeps. Security testing of the deployed stack and compliance readiness support, which prepares systems, controls and evidence for an assessment, can be added to the same scope. DeployOpen does not issue audit reports or certifications; independent auditors do that work.
Engagements are fixed-scope. Scope, deliverables, timelines and acceptance criteria are agreed in writing before work starts, and the quote follows from that written scope. DeployOpen does not publish a price list, so ask for a quote that separates implementation, detection content, testing and any retainer. Ongoing support, version upgrades and continuous testing are available as retainers, which suit teams that do not want to carry OpenSearch and detection tuning in-house from day one. DeployOpen is not an official partner, reseller or certified provider of OpenSearch or the OpenSearch Software Foundation, and it does not represent QRadar vendors. Before you commit, confirm the scope in writing, the handover plan and who maintains the detectors after go-live.
