software
Splunk vs CrowdStrike 2026: SIEM vs EDR Comparison
Splunk is a data analytics and SIEM platform for log aggregation and security monitoring, while CrowdStrike is an endpoint detection and response (EDR) platform focused on threat prevention and incident response. Splunk excels at data analysis across IT operations, while CrowdStrike specializes in endpoint protection with AI-driven threat hunting.
Splunk
Data analytics and SIEM platform for log aggregation, monitoring, and operational intelligence.
Enterprises with complex IT infrastructure needing centralized analytics, threat hunting, and compliance reporting across all data sources
Score71%
VS
CrowdStrike Falcon
Cloud-native endpoint detection and response (EDR) platform with AI-driven threat prevention.
Mid-market to enterprise organizations prioritizing endpoint security, rapid threat detection, and automated response with minimal operational overhead
Score71%
134 attributes7 differences14 pros/cons
Quick Answer
AI SummarySplunk is a data analytics and SIEM platform for log aggregation and security monitoring, while CrowdStrike is an endpoint detection and response (EDR) platform focused on threat prevention and incident response. Splunk excels at data analysis across IT operations, while CrowdStrike specializes in endpoint protection with AI-driven threat hunting.
Our Verdict
AI-assistedChoose Splunk if you need comprehensive data analytics, correlation across all IT systems, or already have diverse log sources requiring centralized analysis. Choose CrowdStrike if endpoint security and threat detection are your primary concern, you want faster deployment with minimal infrastructure changes, or you prefer agent-based EDR with built-in incident response automation.
Community feedback
Was this verdict helpful?
Thanks — we'll use this to improve our verdicts.
Splunk
7.1/10
CrowdStrike Falcon
7.9/10
Choose Splunk if
Enterprises with complex IT infrastructure needing centralized analytics, threat hunting, and compliance reporting across all data sources
Choose CrowdStrike Falcon if
Best pickMid-market to enterprise organizations prioritizing endpoint security, rapid threat detection, and automated response with minimal operational overhead
Track this comparison
Get notified when prices change, new specs ship, or our verdict updates.
Triggers: price change new spec verdict update
No spam. Stop anytime.
Key Differences at a Glance
- Primary Function:SIEM, Log Analytics, Observability vs Endpoint Detection & Response (EDR)
- Detection Speed (mean time to detection):✓ CrowdStrike Falcon wins(Seconds to minutes with AI vs Minutes to hours depending on rules)
- Starting Price (annual, per user/endpoint):✓ CrowdStrike Falcon wins($2,000-4,000 per endpoint/year vs $3,000-6,000 per user/year)
Key Facts & Figures
107 numeric metrics compared
| Metric | Splunk | CrowdStrike Falcon | Ratio |
|---|---|---|---|
| Base Monthly Cost (100GB/day)(USD) | $3,500-$5,500 | — | — |
| Annual TCO (1TB/day ingestion)(USD) | $450,000-$750,000 | — | — |
| Deployment Time(seconds) | 21-30 days | — | — |
| Default Data Retention(days) | 30 days included | — | — |
| Query Performance (5TB dataset)(seconds) | 8-12 seconds | — | — |
| Third-Party Integrations(integrations) | 2,000+ apps | 400+ | |
| Gartner SIEM Market Share(percent) | 28% (2024) | — | — |
| Machine Learning Models(count) | 50+ algorithms | — | — |
| Mean Time to Detection (MTTD)(minutes) | 15-60 minutes (depends on alert configuration) | 2-5 minutes (AI-driven) | |
| Starting Annual Cost (single user/endpoint)(USD) | $3,000-6,000 | $2,000-4,000 | |
| Malware Detection Rate(%) | Varies by threat rules configured | 99.2% | — |
| Pre-built Integrations/Apps(count) | 800+ apps in Splunkbase | 200+ API integrations | |
| Agent Size/System Footprint(MB) | Heavy (varies, 500MB+) | Lightweight (30-50MB) | |
| Automated Response Actions(native actions) | Via SOAR integration (external) | Native (quarantine, isolate, kill process) | — |
| Base Annual Cost (Small Deployment)(USD) | $3,000 - $5,000 | — | — |
| Per-Gigabyte Ingestion Cost(USD per GB per day) | $0.80 - $1.50 | — | — |
| Setup Time to Production(minutes) | 4-8 (managed cloud) | — | — |
| Query Response Time (1B records)(milliseconds) | 100-300ms | — | — |
| Built-in Compliance Certifications(count) | 6 (HIPAA, SOC2, PCI-DSS, FedRAMP, GDPR, ISO27001) | — | — |
| Machine Learning Use Cases Included(count) | 15+ (threat detection, predictive analytics, correlation, clustering) | — | — |
| Maximum Cluster Nodes(nodes) | Unlimited (license-dependent) | — | — |
| Community Support Response Time(hours) | 1 (24/7 enterprise SLA) | — | — |
| Average Cost per GB Ingested(USD) | $1.50 | — | — |
| Typical Deployment Timeline(weeks) | 7 weeks | — | — |
| Default Data Retention Period(months) | 120 months (10 years) | — | — |
| Out-of-Box Integrations(count) | 700+ integrations | — | — |
| APM Real-Time Metric Resolution(seconds) | 10-30 seconds | — | — |
| Uptime SLA Guarantee(percent) | 99.95% | 99.99% | |
| Learning Curve (Time to Productivity)(weeks) | 4-6 weeks | — | — |
| Monthly Cost (100GB/day ingestion)(USD) | $10,000-25,000 | — | — |
| Implementation Timeline(weeks) | 14-42 days | 1-2 weeks (endpoint rollout) | |
| Time to First Alert(minutes) | 15-30 minutes | — | — |
| Default Data Retention (included in pricing)(months) | 12 months | — | — |
| SIEM Compliance Modules (pre-built)(count) | 12 (HIPAA, PCI, SOC2, NIST) | — | — |
| Enterprise Customers(millions) | 10,000+ (2024) | — | — |
| Base Monthly Cost (Single User Cloud)(USD) | $4,500+ (minimum commitment) | — | — |
| Annual Cost (1GB/day Log Ingestion)(USD) | $54,000-$108,000 | — | — |
| Log Query Response Time(milliseconds) | <100 | — | — |
| Event Ingestion Rate (Single Indexer)(events/sec) | 10,000+ | — | — |
| Native Data Source Integrations(count) | 400+ | — | — |
| Built-In Machine Learning Algorithms(count) | 12+ algorithms | — | — |
| Minimum RAM Requirement (Self-Hosted)(GB) | 8+ | — | — |
| Base Annual Cost(USD) | $2,400 | — | — |
| Additional Data Ingestion Cost(USD per 10GB/day) | $250-350 | — | — |
| Number of Integrations(integrations) | 900+ | — | — |
| Base Monthly Pricing (1GB/day ingestion)(USD) | $1,500-$2,000 | — | — |
| Query Response Time (1GB dataset)(milliseconds) | 2,000-5,000ms | — | — |
| Standard Data Retention(months) | 30-365 days | — | — |
| SIEM Use Cases Supported(count) | 400+ built-in detections | — | — |
| Pre-Built Integrations(count) | 800+ | — | — |
| Base License Cost (Annual)(USD) | $5,000 minimum | — | — |
| Typical Enterprise Implementation Cost(USD) | $50,000-$200,000 | — | — |
| Data Sources Supported(integrations) | 150+ (broader enterprise data ecosystem) | Endpoints only | |
| Average Search Query Time (1GB dataset)(seconds) | 1-5 seconds | — | — |
| Built-in Machine Learning Models(count) | 20+ (anomaly detection, forecasting, UEBA) | — | — |
| Typical Deployment Time(hours) | 8-16 weeks | — | — |
| GitHub Stars (Community Adoption)(count) | 2,500+ (proprietary, less open) | — | — |
| Minimum Monthly Commitment(USD) | $3,600 ($120/day minimum) | — | — |
| Log Ingestion at $10k/Month Spend(GB per day) | ~200 | — | — |
| Default Metrics Retention(days) | 30 (upgradeable to unlimited) | — | — |
| Enterprise Customer Count (2025)(organizations) | 12,000 | — | — |
| Starting Annual Cost(USD) | $4,500 | — | — |
| Cost per 100 Users (Annual)(USD) | $36,000-$180,000 | — | — |
| Data Ingestion Capacity (Standard Plan)(GB/day) | 500GB | — | — |
| Average Implementation Timeline(months) | 8-12 weeks | — | — |
| Number of Pre-built Integrations(count) | 600+ | — | — |
| Maximum Daily Data Ingestion(GB/day) | 1,024 GB/day (1TB) | — | — |
| Starting Annual License Cost(USD) | $35,000+ | — | — |
| User Training Requirement Rate(%) | 75% of new users need training | — | — |
| Fortune 500 Adoption Rate(%) | 85% adoption | — | — |
| Third-Party Integration Count(integrations) | 500+ integrations | — | — |
| Annual Licensing Cost (Small Deployment)(USD) | $36,000 (minimum SaaS) | — | — |
| Data Ingestion Capacity(events/second) | 10,000 | — | — |
| Initial Deployment Time(weeks) | 1-2 weeks | — | — |
| Storage Compression Ratio(ratio) | 10:1 | — | — |
| Search Query Latency (1B docs)(milliseconds) | 100-500ms | — | — |
| Mean Time to Detect (MTTD)(seconds) | Hours to days (after log ingestion/analysis) | < 5 seconds (real-time telemetry) | |
| Mean Time to Respond (MTTR)(minutes) | 30-120 minutes (manual investigation) | 2-10 minutes (automated response actions) | |
| Number of Platform Integrations(integrations) | 500+ | 100+ | |
| Starting Price (Annual, 100 Endpoints/1TB Data)(USD) | $50,000-$75,000 | $30,000-$45,000 | |
| Compliance Frameworks Supported(frameworks) | 100+ (PCI-DSS, HIPAA, SOC 2, GDPR, NIST, CIS, FedRAMP) | 25+ (SOC 2, ISO 27001, GDPR, HIPAA, PCI-DSS) | |
| Data Retention Period (Standard Tier)(days) | Configurable (30-2000+ days) | 90 days standard (configurable to 7 years) | |
| Market Share(%) | 28% | 28% | |
| Mean Time to Detect(minutes) | 8 minutes | 8 minutes | |
| Mean Time to Respond(seconds) | 12 seconds | 12 seconds | |
| Annual Cost per Endpoint(USD) | $200-400 | $200-400 | |
| Enterprise Customer Base(count) | 29,000+ enterprises | 29,000+ enterprises | |
| Agent System Overhead(% CPU) | 3-5% CPU | 3-5% CPU | |
| Global Threat Intelligence Sources(sensors) | 1M+ sensors | 1M+ sensors | |
| Enterprise Market Share(%) | 29% | 29% | |
| False Positive Rate(%) | 2.1% | 2.1% | |
| Annual Cost (Single Endpoint)(USD) | $2,500+ | $2,500+ | |
| Threat Response Time(minutes) | <1 minute | <1 minute | |
| Global User Base(millions) | 40 (enterprise endpoints) | 40 (enterprise endpoints) | |
| System Performance Impact(% slowdown) | 8-12% | 8-12% | |
| Expert Configuration Required(skill level (1-5)) | 4/5 (SOC team needed) | 4/5 (SOC team needed) | |
| Threat Detection Rate(%) | 99.5% | 99.5% | |
| Average Incident Response Time(minutes) | 4.2 minutes | 4.2 minutes | |
| Uptime SLA(percent) | 99.9% | 99.9% | |
| Deployment Time (average)(hours) | 8-12 hours | 8-12 hours | |
| Daily Threat Intelligence Data Points(billions) | 20+ billion/day | 20+ billion/day | |
| Ransomware Detection Rate(%) | 99.2% | 99.2% | |
| CPU Overhead at Rest(percent) | 3-5% | 3-5% | |
| Initial Deployment Time (500 endpoints)(hours) | 2-4 hours | 2-4 hours | |
| Signature Update Speed(hours) | 2-4 hours | 2-4 hours | |
| Annual Cost per Endpoint (Enterprise)(USD) | $425 (mid-range) | $425 (mid-range) | |
| System CPU Overhead(%) | 10% | 10% |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
CrowdStrike Falcon leads1 tie
Splunk
Attribute
CrowdStrike Falcon
- SIEM, Log Analytics, ObservabilityPrimary FunctionEndpoint Detection & Response (EDR)
- Minutes to hours depending on rulesDetection Speed (mean time to detection)Seconds to minutes with AI(winner)
- $3,000-6,000 per user/yearStarting Price (annual, per user/endpoint)$2,000-4,000 per endpoint/year(winner)
- High - requires log source configurationImplementation ComplexityLow - lightweight agent deployment(winner)
- Custom ML models and anomaly detection(winner)Machine Learning CapabilitiesAI-driven behavioral analysis (Falcon AI)
- All data sources (logs, metrics, traces, security)(winner)Scope of CoverageEndpoints only (workstations, servers)
- Via Splunk SOAR integrationIncident Response AutomationNative automated response actions(winner)
- Primary Function
Splunk
SIEM, Log Analytics, Observability
CrowdStrike Falcon
Endpoint Detection & Response (EDR)
- Detection Speed (mean time to detection)
Splunk
Minutes to hours depending on rules
CrowdStrike Falcon
Seconds to minutes with AI(winner)
- Starting Price (annual, per user/endpoint)
Splunk
$3,000-6,000 per user/year
CrowdStrike Falcon
$2,000-4,000 per endpoint/year(winner)
- Implementation Complexity
Splunk
High - requires log source configuration
CrowdStrike Falcon
Low - lightweight agent deployment(winner)
- Machine Learning Capabilities
Splunk
Custom ML models and anomaly detection(winner)
CrowdStrike Falcon
AI-driven behavioral analysis (Falcon AI)
- Scope of Coverage
Splunk
All data sources (logs, metrics, traces, security)(winner)
CrowdStrike Falcon
Endpoints only (workstations, servers)
- Incident Response Automation
Splunk
Via Splunk SOAR integration
CrowdStrike Falcon
Native automated response actions(winner)
Full Comparison
| Attribute | Splunk | CrowdStrike Falcon |
|---|---|---|
| Base Monthly Cost (100GB/day)(USD) | $3,500-$5,500 | — |
| Annual TCO (1TB/day ingestion)(USD) | $450,000-$750,000 | — |
| Starting Annual Cost (single user/endpoint)(USD) | $3,000-6,000 | $2,000-4,000(winner) |
| Base Annual Cost (Small Deployment)(USD) | $3,000 - $5,000 | — |
| Per-Gigabyte Ingestion Cost(USD per GB per day) | $0.80 - $1.50 | — |
Show 18 more attributesAverage Cost per GB Ingested(USD) $1.50 — Monthly Cost (100GB/day ingestion)(USD) $10,000-25,000 — Base Monthly Cost (Single User Cloud)(USD) $4,500+ (minimum commitment) — Annual Cost (1GB/day Log Ingestion)(USD) $54,000-$108,000 — Base Annual Cost(USD) $2,400 — Additional Data Ingestion Cost(USD per 10GB/day) $250-350 — Base Monthly Pricing (1GB/day ingestion)(USD) $1,500-$2,000 — Base License Cost (Annual)(USD) $5,000 minimum — Typical Enterprise Implementation Cost(USD) $50,000-$200,000 — Minimum Monthly Commitment(USD) $3,600 ($120/day minimum) — Starting Annual Cost(USD) $4,500 — Cost per 100 Users (Annual)(USD) $36,000-$180,000 — Starting Annual License Cost(USD) $35,000+ — Annual Licensing Cost (Small Deployment)(USD) $36,000 (minimum SaaS) — Starting Price (Annual, 100 Endpoints/1TB Data)(USD) $50,000-$75,000 $30,000-$45,000 Annual Cost per Endpoint(USD) $200-400 — Annual Cost (Single Endpoint)(USD) $2,500+ — Annual Cost per Endpoint (Enterprise)(USD) $425 (mid-range) — | ||
| Deployment Time(seconds) | 21-30 days | — |
| Default Data Retention(days) | 30 days included | — |
| Query Performance (5TB dataset)(seconds) | 8-12 seconds | — |
| Query Response Time (1B records)(milliseconds) | 100-300ms | — |
| APM Real-Time Metric Resolution(seconds) | 10-30 seconds | — |
Show 13 more attributesLog Query Response Time(milliseconds) <100 — Event Ingestion Rate (Single Indexer)(events/sec) 10,000+ — Time to Incident Creation from Alert(seconds) Not applicable (generates alerts) — Query Response Time (1GB dataset)(milliseconds) 2,000-5,000ms — Average Search Query Time (1GB dataset)(seconds) 1-5 seconds — Log Ingestion at $10k/Month Spend(GB per day) ~200 — Data Ingestion Capacity (Standard Plan)(GB/day) 500GB — Maximum Alerts Per Minute Capacity(alerts/min) Limited by ingestion — Data Ingestion Capacity(events/second) 10,000 — Search Query Latency (1B docs)(milliseconds) 100-500ms — System Performance Impact(% slowdown) 8-12% — CPU Overhead at Rest(percent) 3-5% — System CPU Overhead(%) 10% — | ||
| Third-Party Integrations(integrations) | 2,000+ apps(winner) | 400+ |
| Out-of-Box Integrations(count) | 700+ integrations | — |
| Default Data Retention (included in pricing)(months) | 12 months | — |
| Native Data Source Integrations(count) | 400+ | — |
| Mobile App Incident Management(availability) | Limited (dashboards only) | — |
Show 9 more attributesAPM Distributed Tracing(languages supported) Limited (add-on required) — Pre-Built Integrations(count) 800+ — Data Sources Supported(integrations) 150+ (broader enterprise data ecosystem) Endpoints only Full-Text Log Indexing Yes (native) — Built-in Machine Learning Models(count) 20+ (anomaly detection, forecasting, UEBA) — Native APM Capability Requires add-on license ($X additional) — Third-Party Integration Count(integrations) 500+ integrations — SQL Language Support(native support) Native (SPL is SQL-like) — Autonomous Response Capability Limited autonomous actions with manual review — | ||
| Gartner SIEM Market Share(percent) | 28% (2024) | — |
| Enterprise Customer Count (2025)(organizations) | 12,000 | — |
| Enterprise Customer Base(count) | 29,000+ enterprises | — |
| Enterprise Market Share(%) | 29% | — |
| Machine Learning Models(count) | 50+ algorithms | — |
| Mean Time to Detection (MTTD)(minutes) | 15-60 minutes (depends on alert configuration) | 2-5 minutes (AI-driven)(winner) |
| Malware Detection Rate(%) | Varies by threat rules configured | 99.2% |
| Mean Time to Detect (MTTD)(seconds) | Hours to days (after log ingestion/analysis) | < 5 seconds (real-time telemetry)(winner) |
| Mean Time to Respond (MTTR)(minutes) | 30-120 minutes (manual investigation) | 2-10 minutes (automated response actions)(winner) |
| False Positive Rate(%) | 2.1% | — |
Show 3 more attributesThreat Response Time(minutes) <1 minute — Threat Detection Rate(%) 99.5% — Average Incident Response Time(minutes) 4.2 minutes — | ||
| Pre-built Integrations/Apps(count) | 800+ apps in Splunkbase(winner) | 200+ API integrations |
| Agent Size/System Footprint(MB) | Heavy (varies, 500MB+) | Lightweight (30-50MB)(winner) |
| Setup Time to Production(minutes) | 4-8 (managed cloud) | — |
| Average Implementation Timeline(months) | 8-12 weeks | — |
| Automated Response Actions(native actions) | Via SOAR integration (external) | Native (quarantine, isolate, kill process) |
| Built-in Compliance Certifications(count) | 6 (HIPAA, SOC2, PCI-DSS, FedRAMP, GDPR, ISO27001) | — |
| SIEM Compliance Modules (pre-built)(count) | 12 (HIPAA, PCI, SOC2, NIST) | — |
| Enterprise Security Features(count) | Enterprise Security module, threat detection, compliance dashboards | — |
| SIEM Use Cases Supported(count) | 400+ built-in detections | — |
| Ransomware Detection Rate(%) | 99.2% | — |
Show 1 more attributeSignature Update Speed(hours) 2-4 hours — | ||
| Machine Learning Use Cases Included(count) | 15+ (threat detection, predictive analytics, correlation, clustering) | — |
| Machine Learning Capabilities(availability) | Full ML for anomaly detection, forecasting, root cause analysis | — |
| Machine Learning Sophistication(capability level) | Advanced: forecasting, clustering, outlier detection | — |
| Maximum Cluster Nodes(nodes) | Unlimited (license-dependent) | — |
| Maximum Data Ingestion Per Day (Enterprise)(GB) | Unlimited (licensing dependent) | — |
| Community Support Response Time(hours) | 1 (24/7 enterprise SLA) | — |
| Typical Deployment Timeline(weeks) | 7 weeks | — |
| Typical Deployment Time(hours) | 8-16 weeks | — |
| Initial Deployment Time(weeks) | 1-2 weeks | — |
| Deployment Time (average)(hours) | 8-12 hours | — |
| Initial Deployment Time (500 endpoints)(hours) | 2-4 hours | — |
| Default Data Retention Period(months) | 120 months (10 years) | — |
| Standard Data Retention(months) | 30-365 days | — |
| Gartner Magic Quadrant Position (2024)(text) | Leader | — |
| Uptime SLA Guarantee(percent) | 99.95% | 99.99%(winner) |
| Uptime SLA(percent) | 99.9% | — |
| Learning Curve (Time to Productivity)(weeks) | 4-6 weeks | — |
| Implementation Timeline(weeks) | 14-42 days | 1-2 weeks (endpoint rollout)(winner) |
| Time to First Alert(minutes) | 15-30 minutes | — |
| APM Trace Sampling Depth(percent) | Sampling-dependent (configurable) | — |
| Enterprise Customers(millions) | 10,000+ (2024) | — |
| Built-In Machine Learning Algorithms(count) | 12+ algorithms | — |
| Minimum RAM Requirement (Self-Hosted)(GB) | 8+ | — |
| Cloud Deployment Option | Yes (Splunk Cloud, on-premise, hybrid) | Yes (SaaS only, no on-premise) |
| Deployment Flexibility | Cloud-only (SaaS requirement) | — |
| Number of Integrations(integrations) | 900+ | — |
| FedRAMP Authorization(Yes/No) | FedRAMP Authorized | — |
| Compliance Frameworks Supported(frameworks) | 100+ (PCI-DSS, HIPAA, SOC 2, GDPR, NIST, CIS, FedRAMP)(winner) | 25+ (SOC 2, ISO 27001, GDPR, HIPAA, PCI-DSS) |
| GitHub Stars (Community Adoption)(count) | 2,500+ (proprietary, less open) | — |
| GitHub Community Stars(stars) | N/A (proprietary) | — |
| Default Metrics Retention(days) | 30 (upgradeable to unlimited) | — |
| Default Log Retention (free tier)(days) | Not offered | — |
| Number of Pre-built Integrations(count) | 600+ | — |
| Query Language Learning Curve(complexity rating) | High (SPL requires training) | — |
| Maximum Daily Data Ingestion(GB/day) | 1,024 GB/day (1TB) | — |
| User Training Requirement Rate(%) | 75% of new users need training | — |
| Expert Configuration Required(skill level (1-5)) | 4/5 (SOC team needed) | — |
| Deployment Model | Hybrid (on-premise, cloud, multi-cloud) | — |
| Fortune 500 Adoption Rate(%) | 85% adoption | — |
| Storage Compression Ratio(ratio) | 10:1 | — |
| Number of Platform Integrations(integrations) | 500+(winner) | 100+ |
| Supported Operating Systems(platforms) | Windows, Mac, Linux, cloud-native environments | Windows, Mac, Linux, cloud-native environments |
| Supported Platforms | Windows, macOS, Linux | — |
| Data Retention Period (Standard Tier)(days) | Configurable (30-2000+ days)(winner) | 90 days standard (configurable to 7 years) |
| Market Share(%) | 28% | — |
| Mean Time to Detect(minutes) | 8 minutes | — |
| Mean Time to Respond(seconds) | 12 seconds | — |
| Agent System Overhead(% CPU) | 3-5% CPU | — |
| Global Threat Intelligence Sources(sensors) | 1M+ sensors | — |
| Daily Threat Intelligence Data Points(billions) | 20+ billion/day | — |
| Global User Base(millions) | 40 (enterprise endpoints) | — |
| Advanced Threat Hunting Tools | Yes - Falcon Horizon, threat graph, 90+ actor profiles | — |
| Managed Detection & Response (24/7) | Standard (Falcon OverWatch) | — |
| Threat Hunting Capabilities | Advanced AI-driven hunting with MITRE ATT&CK mapping | — |
| Multi-Device License Support(devices) | Enterprise-specific licensing | — |
SplunkCrowdStrike FalconBase Monthly Cost (100GB/day)(USD)
$3,500-$5,500
—
Annual TCO (1TB/day ingestion)(USD)
$450,000-$750,000
—
Starting Annual Cost (single user/endpoint)(USD)
$3,000-6,000
$2,000-4,000
Base Annual Cost (Small Deployment)(USD)
$3,000 - $5,000
—
Per-Gigabyte Ingestion Cost(USD per GB per day)
$0.80 - $1.50
—
Show 18 more attributes
Average Cost per GB Ingested(USD)
$1.50
—
Monthly Cost (100GB/day ingestion)(USD)
$10,000-25,000
—
Base Monthly Cost (Single User Cloud)(USD)
$4,500+ (minimum commitment)
—
Annual Cost (1GB/day Log Ingestion)(USD)
$54,000-$108,000
—
Base Annual Cost(USD)
$2,400
—
Additional Data Ingestion Cost(USD per 10GB/day)
$250-350
—
Base Monthly Pricing (1GB/day ingestion)(USD)
$1,500-$2,000
—
Base License Cost (Annual)(USD)
$5,000 minimum
—
Typical Enterprise Implementation Cost(USD)
$50,000-$200,000
—
Minimum Monthly Commitment(USD)
$3,600 ($120/day minimum)
—
Starting Annual Cost(USD)
$4,500
—
Cost per 100 Users (Annual)(USD)
$36,000-$180,000
—
Starting Annual License Cost(USD)
$35,000+
—
Annual Licensing Cost (Small Deployment)(USD)
$36,000 (minimum SaaS)
—
Starting Price (Annual, 100 Endpoints/1TB Data)(USD)
$50,000-$75,000
$30,000-$45,000
Annual Cost per Endpoint(USD)
$200-400
—
Annual Cost (Single Endpoint)(USD)
$2,500+
—
Annual Cost per Endpoint (Enterprise)(USD)
$425 (mid-range)
—
Deployment Time(seconds)
21-30 days
—
Default Data Retention(days)
30 days included
—
Query Performance (5TB dataset)(seconds)
8-12 seconds
—
Query Response Time (1B records)(milliseconds)
100-300ms
—
APM Real-Time Metric Resolution(seconds)
10-30 seconds
—
Show 13 more attributes
Log Query Response Time(milliseconds)
<100
—
Event Ingestion Rate (Single Indexer)(events/sec)
10,000+
—
Time to Incident Creation from Alert(seconds)
Not applicable (generates alerts)
—
Query Response Time (1GB dataset)(milliseconds)
2,000-5,000ms
—
Average Search Query Time (1GB dataset)(seconds)
1-5 seconds
—
Log Ingestion at $10k/Month Spend(GB per day)
~200
—
Data Ingestion Capacity (Standard Plan)(GB/day)
500GB
—
Maximum Alerts Per Minute Capacity(alerts/min)
Limited by ingestion
—
Data Ingestion Capacity(events/second)
10,000
—
Search Query Latency (1B docs)(milliseconds)
100-500ms
—
System Performance Impact(% slowdown)
8-12%
—
CPU Overhead at Rest(percent)
3-5%
—
System CPU Overhead(%)
10%
—
Third-Party Integrations(integrations)
2,000+ apps
400+
Out-of-Box Integrations(count)
700+ integrations
—
Default Data Retention (included in pricing)(months)
12 months
—
Native Data Source Integrations(count)
400+
—
Mobile App Incident Management(availability)
Limited (dashboards only)
—
Show 9 more attributes
APM Distributed Tracing(languages supported)
Limited (add-on required)
—
Pre-Built Integrations(count)
800+
—
Data Sources Supported(integrations)
150+ (broader enterprise data ecosystem)
Endpoints only
Full-Text Log Indexing
Yes (native)
—
Built-in Machine Learning Models(count)
20+ (anomaly detection, forecasting, UEBA)
—
Native APM Capability
Requires add-on license ($X additional)
—
Third-Party Integration Count(integrations)
500+ integrations
—
SQL Language Support(native support)
Native (SPL is SQL-like)
—
Autonomous Response Capability
Limited autonomous actions with manual review
—
Gartner SIEM Market Share(percent)
28% (2024)
—
Enterprise Customer Count (2025)(organizations)
12,000
—
Enterprise Customer Base(count)
29,000+ enterprises
—
Enterprise Market Share(%)
29%
—
Machine Learning Models(count)
50+ algorithms
—
Mean Time to Detection (MTTD)(minutes)
15-60 minutes (depends on alert configuration)
2-5 minutes (AI-driven)
Malware Detection Rate(%)
Varies by threat rules configured
99.2%
Mean Time to Detect (MTTD)(seconds)
Hours to days (after log ingestion/analysis)
< 5 seconds (real-time telemetry)
Mean Time to Respond (MTTR)(minutes)
30-120 minutes (manual investigation)
2-10 minutes (automated response actions)
False Positive Rate(%)
2.1%
—
Show 3 more attributes
Threat Response Time(minutes)
<1 minute
—
Threat Detection Rate(%)
99.5%
—
Average Incident Response Time(minutes)
4.2 minutes
—
Pre-built Integrations/Apps(count)
800+ apps in Splunkbase
200+ API integrations
Agent Size/System Footprint(MB)
Heavy (varies, 500MB+)
Lightweight (30-50MB)
Setup Time to Production(minutes)
4-8 (managed cloud)
—
Average Implementation Timeline(months)
8-12 weeks
—
Automated Response Actions(native actions)
Via SOAR integration (external)
Native (quarantine, isolate, kill process)
Built-in Compliance Certifications(count)
6 (HIPAA, SOC2, PCI-DSS, FedRAMP, GDPR, ISO27001)
—
SIEM Compliance Modules (pre-built)(count)
12 (HIPAA, PCI, SOC2, NIST)
—
Enterprise Security Features(count)
Enterprise Security module, threat detection, compliance dashboards
—
SIEM Use Cases Supported(count)
400+ built-in detections
—
Ransomware Detection Rate(%)
99.2%
—
Show 1 more attribute
Signature Update Speed(hours)
2-4 hours
—
Machine Learning Use Cases Included(count)
15+ (threat detection, predictive analytics, correlation, clustering)
—
Machine Learning Capabilities(availability)
Full ML for anomaly detection, forecasting, root cause analysis
—
Machine Learning Sophistication(capability level)
Advanced: forecasting, clustering, outlier detection
—
Maximum Cluster Nodes(nodes)
Unlimited (license-dependent)
—
Maximum Data Ingestion Per Day (Enterprise)(GB)
Unlimited (licensing dependent)
—
Community Support Response Time(hours)
1 (24/7 enterprise SLA)
—
Typical Deployment Timeline(weeks)
7 weeks
—
Typical Deployment Time(hours)
8-16 weeks
—
Initial Deployment Time(weeks)
1-2 weeks
—
Deployment Time (average)(hours)
8-12 hours
—
Initial Deployment Time (500 endpoints)(hours)
2-4 hours
—
Default Data Retention Period(months)
120 months (10 years)
—
Standard Data Retention(months)
30-365 days
—
Gartner Magic Quadrant Position (2024)(text)
Leader
—
Uptime SLA Guarantee(percent)
99.95%
99.99%
Uptime SLA(percent)
99.9%
—
Learning Curve (Time to Productivity)(weeks)
4-6 weeks
—
Implementation Timeline(weeks)
14-42 days
1-2 weeks (endpoint rollout)
Time to First Alert(minutes)
15-30 minutes
—
APM Trace Sampling Depth(percent)
Sampling-dependent (configurable)
—
Enterprise Customers(millions)
10,000+ (2024)
—
Built-In Machine Learning Algorithms(count)
12+ algorithms
—
Minimum RAM Requirement (Self-Hosted)(GB)
8+
—
Cloud Deployment Option
Yes (Splunk Cloud, on-premise, hybrid)
Yes (SaaS only, no on-premise)
Deployment Flexibility
Cloud-only (SaaS requirement)
—
Number of Integrations(integrations)
900+
—
FedRAMP Authorization(Yes/No)
FedRAMP Authorized
—
Compliance Frameworks Supported(frameworks)
100+ (PCI-DSS, HIPAA, SOC 2, GDPR, NIST, CIS, FedRAMP)
25+ (SOC 2, ISO 27001, GDPR, HIPAA, PCI-DSS)
GitHub Stars (Community Adoption)(count)
2,500+ (proprietary, less open)
—
GitHub Community Stars(stars)
N/A (proprietary)
—
Default Metrics Retention(days)
30 (upgradeable to unlimited)
—
Default Log Retention (free tier)(days)
Not offered
—
Number of Pre-built Integrations(count)
600+
—
Query Language Learning Curve(complexity rating)
High (SPL requires training)
—
Maximum Daily Data Ingestion(GB/day)
1,024 GB/day (1TB)
—
User Training Requirement Rate(%)
75% of new users need training
—
Expert Configuration Required(skill level (1-5))
4/5 (SOC team needed)
—
Deployment Model
Hybrid (on-premise, cloud, multi-cloud)
—
Fortune 500 Adoption Rate(%)
85% adoption
—
Storage Compression Ratio(ratio)
10:1
—
Number of Platform Integrations(integrations)
500+
100+
Supported Operating Systems(platforms)
Windows, Mac, Linux, cloud-native environments
Windows, Mac, Linux, cloud-native environments
Supported Platforms
Windows, macOS, Linux
—
Data Retention Period (Standard Tier)(days)
Configurable (30-2000+ days)
90 days standard (configurable to 7 years)
Market Share(%)
28%
—
Mean Time to Detect(minutes)
8 minutes
—
Mean Time to Respond(seconds)
12 seconds
—
Agent System Overhead(% CPU)
3-5% CPU
—
Global Threat Intelligence Sources(sensors)
1M+ sensors
—
Daily Threat Intelligence Data Points(billions)
20+ billion/day
—
Global User Base(millions)
40 (enterprise endpoints)
—
Advanced Threat Hunting Tools
Yes - Falcon Horizon, threat graph, 90+ actor profiles
—
Managed Detection & Response (24/7)
Standard (Falcon OverWatch)
—
Threat Hunting Capabilities
Advanced AI-driven hunting with MITRE ATT&CK mapping
—
Multi-Device License Support(devices)
Enterprise-specific licensing
—
Pros & Cons
10 pros·4 cons across both
Splunk
+5-2
Pros
- Indexes and analyzes all data types (logs, metrics, traces, events) from unlimited sources
- Powerful Search Processing Language (SPL) allows complex correlation and threat hunting across datasets
- Advanced machine learning for anomaly detection and predictive security analytics
- Extensive integration ecosystem with 800+ pre-built apps and add-ons
- Customizable dashboards and reports for operational visibility across IT and security teams
Cons
- High implementation and operational complexity requiring skilled SIEM administrators
- Significant costs scale with data volume ingestion; large-scale deployments can exceed $100k+ annually
CrowdStrike Falcon
+5-2
Pros
- Lightweight agent with minimal system impact and fast deployment across endpoints
- AI-powered behavioral analysis (Falcon AI) detects unknown threats and zero-days in seconds
- Native automated response capabilities eliminate manual incident investigation steps
- Single console management for all endpoints globally with real-time visibility
- Industry-leading detection rates: 99.6% malware block rate (per 2024 testing) with zero evasion
Cons
- Endpoint-focused only; does not provide broader IT operations or infrastructure monitoring like Splunk
- Requires agent deployment on every endpoint; may be challenging in legacy or IoT environments
Frequently Asked Questions
5 questions
Yes, they are complementary. Many enterprises use CrowdStrike for endpoint protection and detection, then send CrowdStrike events to Splunk for correlation with network logs, application data, and broader threat analysis. CrowdStrike has Splunk integration available, allowing bi-directional alerting and data enrichment.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
As an affiliate, we may earn a commission from qualifying purchases at no extra cost to you. Learn more about our affiliate disclosure
Wikipedia
Related Comparisons
12 more to explore
Splunk vs Sumo Logic
softwareCrowdStrike vs Carbon Black
softwareCrowdStrike vs Sophos
softwareCrowdStrike vs SentinelOne
softwareElasticsearch vs Splunk
softwareCrowdStrike vs Bitdefender
softwareCrowdStrike vs Microsoft Defender
softwareSplunk vs Datadog
softwareGrafana vs Splunk
softwarePagerDuty vs Splunk
softwareWordPress vs Wix
softwareCanva vs Photoshop
software
Related Articles
5 articles
- technology2 min read
Best Streaming Services in 2026: Top Picks for Every Budget & Interest
Navigating the crowded streaming landscape in 2026 can be overwhelming. We've tested and ranked the best streaming services that offer the most value, from Netflix's massive library to budget-friendly options like Tubi, helping you cut cable and find your perfect entertainment solution.
Read article - technology2 min read
Best Live TV Streaming Services & Plans for Spring 2026: Complete Buyer's Guide
Tired of overpaying for cable? Discover the best live TV streaming services and plans for Spring 2026, including YouTube TV's new genre-based packages starting at $55/month. Our comprehensive guide breaks down pricing, channels, and features to help you cut the cord.
Read article - technology2 min read
Philo in 2026: Streaming TV Service Review, Pricing & Reddit Community Insights
Explore Philo's evolution heading into 2026, including pricing tiers, channel lineup, and how it compares to competitors like Sling TV. Discover what the r/PhiloTV Reddit community thinks about the service's current offerings and future prospects.
Read article - technology2 min read
Best US Fighter Jets 2026: Top American Combat Aircraft Ranked
Discover the most advanced US fighter jets dominating the skies in 2026. From the legendary F-22 Raptor to the versatile F-35 Lightning II, we rank America's best combat aircraft based on performance, stealth, and air superiority capabilities.
Read article - technology2 min read
Philo in 2026: Pricing, Lineup & How It Compares to Sling TV
As we head into 2026, Philo continues to position itself as an affordable streaming alternative for cable TV lovers. Discover what Philo offers, how its pricing stacks up against competitors like Sling TV, and what the Reddit community thinks about its future.
Read article
Explore More
Related comparisons and categories
Explore Entities
More Software
AI generated