Coroot vs SigNoz
Comprehensive comparison of observability platforms: architecture, features, costs, and deployment models
Platform Model
On-premises first vs Cloud-first SaaS
Data Storage
On-premises vs Cloud-managed platforms
Pricing Model
Simple per-CPU vs Usage-based billing
Architecture & Technology
Fundamentally different approaches to observability
Coroot
🔒 On-Premises Complete Platform
Full observability stack on your infrastructure. Store ALL data without compromise, enterprise-grade guarantees, complete control over your observability pipeline.
Hybrid Data Collection
eBPF auto-instrumentation + OpenTelemetry compatibility - best of both worlds
Store Everything
No data sampling compromises - 10x compression means unlimited retention without cost fears
Full AI Root Cause Analysis
Complete intelligent incident analysis - not just chat assistance but actual RCA automation.
Learn more about AI features →Zero Configuration Setup
Pre-built dashboards, alerts, and inspections - insights within minutes, not months of setup
Enterprise Control & Support
Commercial support with SLAs, professional services, air-gapped deployments, unlimited customization.
Explore enterprise features →SigNoz
☁️ Cloud-First Observability Platform
OpenTelemetry-native observability platform. Modern approach to monitoring with flexible deployment options but requires instrumentation setup.
OpenTelemetry Integration
Native OpenTelemetry support with standardized instrumentation across languages
Usage-Based Storage
Cloud-managed storage with transparent pricing but costs scale with data volume
Standard Alerting & Dashboards
Traditional alerting capabilities with manual investigation workflows - no automated RCA
Quick Cloud Setup
Fast deployment with managed infrastructure but requires OpenTelemetry instrumentation
SOC2 & HIPAA Compliance
Cloud compliance with SOC2 Type II and HIPAA certifications, community and paid support
Feature Comparison
How the platforms compare across key observability capabilities
| Feature | Coroot | SigNoz |
|---|---|---|
| Metrics & Infrastructure Monitoring | Comprehensive telemetry via eBPF including network monitoring | Infrastructure monitoring with OpenTelemetry-native metrics collection |
| Distributed Tracing | eBPF auto-tracing + OpenTelemetry compatibility | Native OpenTelemetry distributed tracing with correlation |
| Log Management | Automated discovery & shipping, pattern extraction, ClickHouse 10x compression | Log aggregation with filtering, search, and correlation |
| AI-Powered Root Cause Analysis | Integrated RCA across metrics, logs, traces automatically | No root cause analysis capabilities - manual investigation required |
| SLO Tracking & Alerting | Built-in SLO monitoring with integrated RCA | No SLO monitoring capabilities - relies on manual threshold-based alerting |
| Database Monitoring | Major OSS databases: Postgres, MySQL, MongoDB, Redis - integrated with RCA | Basic database metrics collection through OpenTelemetry instrumentation |
| Continuous Profiling | Always-on profiling with <1% overhead - pinpoint performance bottlenecks down to exact line of code | Continuous profiling not available in current offering |
| Cloud Cost Monitoring | Automatic cloud cost tracking without account access - calculates cross-AZ and egress costs per application | Not available - requires separate cloud cost management tools |
| Real User Monitoring (RUM) | Not available - backend/infrastructure focused | Basic frontend monitoring with Core Web Vitals and browser tracing - limited to web applications only |
| Synthetic Monitoring | Not available - focuses on internal observability | Not available - focuses on application and infrastructure monitoring |
Cost Analysis
Understanding the total cost of ownership for each platform
Coroot
Free
Complete observability platform
What's included:
- • Unlimited data retention
- • No per-GB storage charges
- • All features included
- • On-premises infrastructure
SigNoz
Free
Open source, deploy on your infrastructure
$49/month base
$0.30/GB logs & traces, $0.10/million metrics
Cloud additional costs:
- • Log ingestion: $0.30/GB (beyond base credits)
- • Trace ingestion: $0.30/GB (beyond base credits)
- • Metrics: $0.10/million samples (beyond base credits)
- • Cloud infrastructure managed by SigNoz
Example: 50-Host Environment
Coroot Enterprise
SigNoz Cloud
Monthly savings with Coroot: $1,110 (3.8x less expensive)
* Coroot includes infrastructure costs for ClickHouse, Prometheus, and storage. ClickHouse provides 10x compression reducing storage costs significantly. SigNoz based on moderate enterprise usage: 3TB logs/month, 2TB trace ingestion, 100M metrics/month. At higher data volumes, SigNoz costs increase significantly while Coroot remains flat. Actual costs vary significantly based on usage patterns, data volume, and cloud provider pricing.
When to Choose Each Platform
Choose the right observability platform based on your needs
Choose Coroot If:
Your observability bill exceeds $50k/year
3.8x cost savings will pay for infrastructure team time
You need air-gapped deployment
Banking, defense, healthcare, regulated industries requiring complete data control
Explore enterprise deployment →You want zero-code instrumentation
eBPF monitoring without touching application code or deployment pipelines
You need advanced AI for incident response
Automated root cause analysis to reduce MTTR significantly
See AI features →You want continuous profiling included
Built-in profiling without additional costs or complexity
Choose SigNoz If:
You prefer managed cloud services
Want observability without infrastructure management overhead
You're already using OpenTelemetry
Native OpenTelemetry integration with existing instrumentation
You have low to moderate data volumes
Under 500GB/month total data ingestion across all telemetry
You need quick setup and deployment
Rapid onboarding with cloud-first architecture and managed infrastructure
You want deployment flexibility
Choose between cloud and self-hosted based on your requirements
Ready to experience the difference?
Join engineering teams who've reduced their observability costs by 4x while improving incident resolution speed.
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