Public serverless unit rates are bound to the Essentials and Complete tiers, but total cost depends on ingestion, retention, egress, region, optional services, and deployment design. No contract commitment is inferred from these usage rates.
The current license guide publishes licensing choices, metrics, ratios, and minimums but not currency amounts. Resource Units can be allocated among included products within entitlement limits, and Suite entitlements cannot be mixed with standalone entitlements for the same product.
Engineering-led SOCs that want open schemas and highly customizable security analytics
Cloud and hybrid enterprises that need broad ingestion and deep historical search
Teams already using Elasticsearch and prepared to govern ECS, pipelines, detections, and data tiers
Large and regulated enterprises retaining customer-controlled QRadar infrastructure
Existing QRadar organizations adding federated investigation, intelligence, SOAR, NDR, EDR, or Data Store
Security teams that value flexible Resource Unit allocation across multiple security products
Not for
Teams seeking a fixed all-inclusive SIEM subscription
Organizations without security-data engineering or detection-tuning capacity
Buyers requiring every advanced AI and automation feature in the lowest tier
Buyers seeking IBM's divested cloud-native QRadar Suite SaaS product
Small teams without QRadar and OpenShift administration capacity
Organizations requiring transparent public pricing and a lightweight self-service deployment
Source check
99/100
98/100
Key features
Elastic Agent, integrations, APIs, and custom pipelines for cloud and hybrid security telemetry
ECS-based normalization with asset, identity, and threat-intelligence context
Prebuilt and custom rules, machine learning, anomaly detection, and entity analytics
Timeline investigation, KQL and ES|QL search, cases, dashboards, and threat hunting
AI Assistant, Attack Discovery, query generation, and advanced SOC workflows in supported tiers
QRadar SIEM event and flow collection, parsing, normalization, correlation, and offenses
QRadar SOAR case management, response plans, orchestration, and automation
Data Explorer federated search across connected hybrid and multi-cloud data sources
Threat Investigator automated case analysis and historical threat timelines
Threat Intelligence Insights and IBM X-Force context
Cons
As-low-as unit rates do not represent a complete deployment estimate
Data ingestion, retention, egress, workflows, AI, region, and infrastructure choices can materially change total cost
Self-managed deployments transfer scaling, upgrades, resilience, and operational responsibility to the buyer
No public monetary price for Suite Resource Units
The cloud-native QRadar Suite SaaS is a different divested product
OpenShift, virtual appliances, storage, high availability, and specialist operations can add substantial cost
Category buying score
82Higher category-fit score
80
Rank
#4
#5
Context
Security & Privacy / Security Information and Event Management (SIEM) Software
Security & Privacy / Security Information and Event Management (SIEM) Software
Detection and correlation quality
83Detection content combines prebuilt rules, custom rules, machine learning, anomaly detection, and Complete-tier entity analytics, so quality scales with tuning capacity and correct ECS context rather than arriving as a turnkey sealed rule set.
83Correlation, offenses, QRadar and Sigma rule visibility in the Detection and Response Center, and IBM X-Force threat intelligence context support detection engineering for teams that maintain QRadar content and hybrid telemetry.
Investigation and threat hunting
87Timeline, KQL, ES|QL, dashboards, and threat-hunting workflows support proactive and reactive investigation, with AI Assistant, Attack Discovery, and query generation available on supported Complete configurations for assisted SOC analysis.
85Data Explorer federated search and Threat Investigator automated case analysis with historical threat timelines let analysts pivot across connected sources and prior activity during hunting and case work.
Data collection and context
84Elastic Agent, integrations, APIs, and custom pipelines can collect cloud and hybrid telemetry and feed ECS-normalized security data, but the buyer must own mapping quality for custom sources, which makes the pipeline capability strong but governance-dependent.
84The suite includes event and flow collection, parsing, normalization, and Data Explorer federated search, which gives the data pipeline breadth, though the supplied facts do not establish connector counts or pipeline engineering controls.
Response and security operations
77Cases and collaboration support incident handling on core analytics tiers, while broader automation controls and advanced AI-assisted workflows sit on Complete, so response depth tracks tier selection and configuration rather than a single uniform playbook layer.
88Integrates orchestration, case management, and structured response plans through the included SOAR capabilities to accelerate incident containment.
Scale, retention, and performance
86Hot, cold, frozen, snapshot, and serverless retained-data options give buyers multiple retention and searchable-history designs, but the facts do not state retention guarantees or performance limits for every deployment mode, so the score remains below maximum.
78Enterprise licensing supports unlimited data ingestion under the published model for organizations at or above 100 managed virtual servers, and QRadar Data Store offers lower-cost log storage outside SIEM EPS accounting, subject to local infrastructure and entitlement design.
Deployment, support, and total cost
69Public serverless rates start at stated per-GB ingestion and retained-data prices, but total cost also depends on egress, optional workflow and AI meters, region, and deployment design, so the purchase check is full TCO modeling rather than the headline unit rate.
52The suite has no public numeric currency price and can require OpenShift plus separate installation and license keys for some components, so total cost depends heavily on infrastructure and procurement details.
Integrations and detection content
85A broad integration and security-content ecosystem with public detection-rule content accelerates onboarding of supported sources, while custom or unsupported telemetry still requires buyer-built ECS-compatible pipelines.
78The suite includes Threat Intelligence Insights, IBM X-Force context, federated search across connected hybrid and multi-cloud data sources, and QRadar and Sigma rule visibility, but the supplied facts do not establish the depth of third-party integrations or content coverage.
These are the stored dimension rationales returned with each score. They explain the buyer conditions behind the gap without speculating about hidden model reasoning.
Deployment, support, and total cost
17 pts
Elastic Security · 69/100
Public serverless rates start at stated per-GB ingestion and retained-data prices, but total cost also depends on egress, optional workflow and AI meters, region, and deployment design, so the purchase check is full TCO modeling rather than the headline unit rate.
IBM QRadar Suite Software · 52/100
The suite has no public numeric currency price and can require OpenShift plus separate installation and license keys for some components, so total cost depends heavily on infrastructure and procurement details.
Response and security operations
11 pts
Elastic Security · 77/100
Cases and collaboration support incident handling on core analytics tiers, while broader automation controls and advanced AI-assisted workflows sit on Complete, so response depth tracks tier selection and configuration rather than a single uniform playbook layer.
IBM QRadar Suite Software · 88/100
Integrates orchestration, case management, and structured response plans through the included SOAR capabilities to accelerate incident containment.
Scale, retention, and performance
8 pts
Elastic Security · 86/100
Hot, cold, frozen, snapshot, and serverless retained-data options give buyers multiple retention and searchable-history designs, but the facts do not state retention guarantees or performance limits for every deployment mode, so the score remains below maximum.
IBM QRadar Suite Software · 78/100
Enterprise licensing supports unlimited data ingestion under the published model for organizations at or above 100 managed virtual servers, and QRadar Data Store offers lower-cost log storage outside SIEM EPS accounting, subject to local infrastructure and entitlement design.
Research basis
Research basis
This page uses stored product facts, official evidence, and category scoring rationales. It is not an account-based hands-on test, and third-party user ratings are not folded into the category buying score.
Elastic Security
Fact confidence: 99% · Fact checked: 2026-08-10
IBM QRadar Suite Software
Fact confidence: 98% · Fact checked: 2026-08-10
More tools
Security Information and Event Management (SIEM) Software
Add more tools from the same subcategory to this comparison. The page keeps up to 6 tools.
Microsoft Sentinel is a cloud-native SIEM and security operations platform for collecting, detecting, investigating, hunting, and responding across Microsoft and third-party environments.
Google Security Operations is a cloud-native SIEM and SOAR platform that ingests and normalizes security telemetry, detects threats, supports investigation and hunting, and automates response workflows.
Elastic Security is a unified security operations platform that provides SIEM, threat detection, investigation, hunting, case management, and response across cloud-hosted or self-managed Elastic deployments.
IBM QRadar Suite Software is an on-premises enterprise security operations package that combines QRadar SIEM entitlements with case management, federated investigation, threat intelligence, and separately deployable response and detection products.
LogRhythm SIEM is Exabeam's self-hosted security information and event management platform for collecting, normalizing, detecting, investigating, reporting, and responding across customer-managed environments.
Exabeam New-Scale SIEM is a cloud-native security information and event management product for collecting, normalizing, searching, detecting, investigating, and responding across enterprise security data.