SigNoz
SigNoz is an open-source observability platform that helps you monitor applications and troubleshoot problems by integrating metrics, traces, and logs into a single, unified dashboard for full system visibility.
Splunk On-Call
Splunk On-Call is an incident response software that aligns log data with on-call scheduling to help your DevOps teams collaborate, troubleshoot, and resolve critical service outages faster.
Quick Comparison
| Feature | SigNoz | Splunk On-Call |
|---|---|---|
| Website | signoz.io | splunk.com |
| Pricing Model | Freemium | Subscription |
| Starting Price | Free | $5/month |
| FREE Trial | ✓ 30 days free trial | ✓ 14 days free trial |
| Free Plan | ✓ Has free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2021 | 2012 |
| Headquarters | San Francisco, USA | Boulder, USA |
Overview
SigNoz
SigNoz is an open-source observability platform designed to help you monitor your applications and troubleshoot problems in real-time. By combining metrics, traces, and logs under one roof, you can stop jumping between different tools and start finding the root cause of performance bottlenecks faster. It is built natively on OpenTelemetry, ensuring you never get locked into a specific vendor and can maintain full control over your telemetry data.
You can use SigNoz to track key application metrics like p99 latency, error rates, and external API calls while drilling down into individual traces to see exactly where requests are slowing down. It is an ideal solution for software engineers, SREs, and DevOps teams working with microservices architectures who need deep visibility into their stack without the high costs associated with traditional proprietary monitoring solutions.
Splunk On-Call
Splunk On-Call, formerly known as VictorOps, is a purpose-built incident management platform designed to make on-call rotations less painful for your engineering teams. You can automate the entire incident lifecycle by routing alerts from your monitoring tools directly to the right person at the right time. By centralizing your alert data, the platform ensures that your team has the full context needed to diagnose problems without switching between multiple tabs or tools during a crisis.
You can manage complex on-call schedules, set up automated escalation policies, and use native mobile apps to respond to incidents from anywhere. The software focuses on reducing your Mean Time to Resolution (MTTR) by providing a collaborative timeline where your team can chat, share snippets, and track remediation steps in real-time. It is particularly effective for DevOps and SRE teams in mid-market to enterprise organizations who need to maintain high service availability.
Overview
SigNoz Features
- Distributed Tracing Visualize the end-to-end flow of requests across your microservices to identify exactly which service is causing latency or errors.
- Log Management Search and filter through millions of logs instantly using a powerful query builder that connects logs directly to specific traces.
- Application Metrics Monitor critical signals like request rates, error percentages, and latency distributions with automatically generated out-of-the-box charts and dashboards.
- Custom Dashboards Create personalized views of your infrastructure health by dragging and dropping widgets that track the specific data points you care about.
- Alert Management Set up precise alerts on metrics or logs and receive notifications via Slack, PagerDuty, or webhooks before your users notice an issue.
- Exceptions Tracking Automatically capture and record stack traces for exceptions in your code so you can debug crashes without manual log digging.
Splunk On-Call Features
- Automated Escalation. Set up custom rules to ensure critical alerts automatically find the right engineer based on your live on-call schedules.
- Incident Timeline. View a unified stream of monitoring data and team chat to understand exactly what happened and when.
- Mobile Incident Management. Acknowledge, resolve, and reroute incidents directly from your phone using native iOS and Android applications.
- Transmogrifier. Attach runbooks, graphs, and automated notes to incoming alerts so you have instant context for every page.
- On-Call Scheduling. Create and manage fair rotations with drag-and-drop shifts and easy overrides for vacations or sick leave.
- Reporting and Analytics. Track your MTTR and alert volume trends to identify burnout risks and improve your system reliability.
Pricing Comparison
SigNoz Pricing
- Up to 500GB logs/month
- Up to 100GB traces/month
- Up to 200 metrics/month
- 30 days retention
- Community support
- Unlimited team members
- Everything in Teams, plus:
- Pay-as-you-go overages
- Custom retention periods
- Advanced alerting features
- Priority email support
- SSO and SAML authentication
Splunk On-Call Pricing
- On-call scheduling
- Email and SMS notifications
- Mobile app access
- Basic integrations
- Incident history
- Everything in Starter, plus:
- Unlimited integrations
- The Transmogrifier tool
- Advanced reporting
- Post-incident reviews
- Stakeholder notifications
Pros & Cons
SigNoz
Pros
- OpenTelemetry native support prevents vendor lock-in
- Unified dashboard for logs, metrics, and traces
- Significantly more affordable than traditional enterprise competitors
- Easy to set up with Docker or Kubernetes
- Active community and transparent product roadmap
Cons
- Requires technical expertise to self-host effectively
- Documentation can be sparse for complex configurations
- Fewer third-party integrations than older established platforms
Splunk On-Call
Pros
- Highly flexible on-call scheduling and rotation management
- Excellent mobile app for managing alerts remotely
- Seamless integration with the broader Splunk ecosystem
- Transmogrifier feature provides great context for alerts
Cons
- Initial configuration can be complex for new users
- User interface feels dated compared to some competitors
- Pricing can become significant for very large teams