LogZilla vs The Competition

See how LogZilla AI Platform compares to traditional SIEM and log management solutions. Get the complete analysis with feature comparisons, pricing insights, and migration guidance.

vs Splunk

60-80% cost savings with AI capabilities Splunk lacks

  • Predictable events/day pricing vs GB/day overages
  • Natural language queries vs SPL expertise required
  • Built-in SOAR vs $50K+ Splunk SOAR add-on

vs Datadog

Enterprise log management without consumption surprises

  • Transparent pricing vs credit-based consumption
  • On-premises and air-gap deployment options
  • Patented deduplication reduces storage 80-95%

vs CrowdStrike

Full operational intelligence beyond endpoint security

  • Network, infrastructure, and application visibility
  • Natural language queries across all log sources
  • Built-in SOAR automation

vs Elastic (ELK)

Enterprise features without Elasticsearch complexity

  • 10x more efficient than Elasticsearch-based solutions
  • Built-in SIEM and SOAR capabilities
  • AI-powered analysis without ML Toolkit setup

vs IBM QRadar

Modern AI capabilities without legacy complexity

  • Deploy in minutes vs weeks
  • Natural language queries vs complex rule building
  • No dedicated QRadar admin required

vs Microsoft Sentinel

Multi-cloud flexibility beyond Azure lock-in

  • Deploy anywhere: cloud, on-prem, air-gapped
  • Predictable pricing vs consumption-based
  • Works with any cloud provider

vs Cribl

Complete platform vs data routing only

  • Full SIEM, SOAR, and AI capabilities included
  • Search, analyze, and automate in one platform
  • No additional SIEM required

vs Graylog

Enterprise features open source can't match

  • Built-in SIEM and SOAR vs paid add-ons
  • AI-powered natural language analysis
  • 10x better performance at scale

vs Sumo Logic

Deployment flexibility with predictable costs

  • Self-hosted and air-gap options available
  • Events/day pricing vs credit consumption
  • Patented deduplication reduces costs

vs Devo

Full deployment flexibility vs cloud-only

  • On-premises and air-gap deployment
  • Built-in SOAR vs limited capabilities
  • Predictable pricing model

vs Exabeam

Simpler deployment with broader AI capabilities

  • Deploy in minutes vs weeks
  • AI across all domains, not just UEBA
  • Single platform vs multiple components

vs LogRhythm

Modern architecture vs legacy appliances

  • Cloud-native, containerized deployment
  • Kubernetes scaling vs appliance additions
  • AI-powered analysis included

vs Rapid7 InsightIDR

Full log management beyond security-only focus

  • Purpose-built for operational logs
  • Self-hosted and air-gap options
  • AI across SecOps, NetOps, and more

vs Securonix

Simpler deployment with comparable capabilities

  • Deploy in minutes vs complex setup
  • Natural language queries included
  • Lower total cost of ownership
Comparisons | LogZilla AI Platform