Key takeaways
- Top pick: Datadog, best for: Large enterprises and DevOps teams.
- Also near the top: New Relic and Dynatrace.
- Free to start with: Sentry.
- How it was ranked: 10 SaaS products compared. Each verdict is below.
Datadog leads the market for comprehensive full stack visibility, making it ideal for large cloud native environments.
New Relic offers a powerful alternative with its simplified, usage based pricing model suited for growing engineering teams, while
Dynatrace excels in automated enterprise cloud monitoring through its advanced artificial intelligence engine.
Top 10 Monitoring & Observability Platforms, compared| RANK | ENTRY | BEST FOR | SCORE | FROM |
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| 1 | DatadogDatadog integrates over 600 out of the box technologies and services. | Large enterprises and DevOps teams | 95.0 | $15/host/month |
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| 2 | New RelicNew Relic transitioned to a simplified data based pricing model to improve predictability. | Software engineers and developers | 92.7 | $49/month |
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| 3 | DynatraceDynatrace uses a proprietary causal AI engine named Davis to pinpoint root causes automatically. | Large enterprises with complex cloud environments | 90.3 | Custom |
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| 4 | Grafana CloudGrafana originated as a purely open source dashboarding tool before expanding into a managed cloud platform. | Open source metric dashboards | 88.0 | $0 (Free tier available) |
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| 5 | HoneycombHoneycomb specializes in event driven telemetry that handles billions of unique data dimensions easily. | Debugging complex microservices | 85.7 | $130 per month |
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| 6 | SentrySentry captures rich context including stack traces and breadcrumbs for every error event. | Full-stack application error monitoring and performance tracking | 83.3 | Free |
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| 7 | LogicMonitorLogicMonitor discovers infrastructure resources automatically using sophisticated network topology mapping. | Infrastructure and network monitoring | 81.0 | Custom |
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| 8 | Sumo LogicSumo Logic uses machine learning algorithms to detect anomalies across massive security log feeds. | DevSecOps teams needing compliance and security analytics | 78.7 | Custom |
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| 9 | AppDynamicsAppDynamics correlates technical performance metrics directly with underlying business revenue impacts. | Business transaction performance tracking | 76.3 | Custom |
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| 10 | UptimeRobotUptimeRobot provides public status pages to communicate service health transparently to customers. | Small businesses and developers | 74.0 | $7/month |
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How to choose
Start from what you need it for. Where each entry fits best:
- Datadog (#1): Large enterprises and DevOps teams
- New Relic (#2): Software engineers and developers
- Dynatrace (#3): Large enterprises with complex cloud environments
- Grafana Cloud (#4): Open source metric dashboards
- Honeycomb (#5): Debugging complex microservices
- Sentry (#6): Full-stack application error monitoring and performance tracking
- LogicMonitor (#7): Infrastructure and network monitoring
- Sumo Logic (#8): DevSecOps teams needing compliance and security analytics
- AppDynamics (#9): Business transaction performance tracking
- UptimeRobot (#10): Small businesses and developers
Each entry's full verdict is below.
The ranking, in detail
01

Cloud scale monitoring and security
A leading monitoring and security platform for cloud scale applications, providing comprehensive visibility into servers, databases, tools, and services.
From $15/host/month
PROS- Extremely powerful analytics
- Thousands of integrations
CONS- Steep learning curve
- Complex pricing structure
- Best for
- Large enterprises and DevOps teams
- Where it falls short
- Steep learning curve.
- Pick something else if
- you need a simpler interface or predictable costs.
95.0
02

All-in-one observability platform
An all in one observability platform designed to help engineers analyse, troubleshoot, and optimize their entire software stack.
From $49/month
PROS- Deep application insights
- Unified telemetry data
CONS- Can be costly for small projects
- Overwhelming interface for beginners
- Best for
- Software engineers and developers
- Where it falls short
- Can be costly for small projects.
- Pick something else if
- you are a beginner seeking simplicity.
92.7
03

Software intelligence for the enterprise cloud
An automated software intelligence platform powered by artificial intelligence, built specifically for enterprise cloud environments.
From Custom
PROS- Advanced AI root cause analysis
- Full automation capabilities
CONS- Very high cost
- Overkill for simple websites
- Best for
- Large enterprises with complex cloud environments
- Where it falls short
- The platform is very high cost and overkill for simple websites.
- Pick something else if
- you run a simple website or need low costs.
90.3
04

A composable observability platform built around open source software including Grafana, Prometheus, and Loki.
From $0 (Free tier available)
PROS- World class data visualization dashboards
- Deep support for open source standards
CONS- Correlating logs, metrics, and traces requires careful setup
- Managed alerting can be tricky to configure
- Best for
- Open source metric dashboards
- Where it falls short
- Correlating logs, metrics, and traces requires careful setup.
- Pick something else if
- you want a fully automated correlation experience.
88.0
05

An observability platform built for high cardinality data, helping engineering teams inspect systems and debug complex distributed systems.
From $130 per month
PROS- Outstanding for finding unknown unknowns
- Fast query performance on massive datasets
CONS- Requires instrumentation effort using OpenTelemetry
- Niche focus compared to all in one suites
- Best for
- Debugging complex microservices
- Where it falls short
- Requires instrumentation effort using OpenTelemetry.
85.7
06

Application monitoring and error tracking software
An error tracking and application monitoring platform that helps developers identify and fix crashes in real time.
Free
PROS- Excellent stack trace context
- Supports a vast array of programming languages
CONS- Can become expensive at scale
- Best for
- Full-stack application error monitoring and performance tracking
- Where it falls short
- It can become expensive at scale.
83.3
07

A SaaS based infrastructure monitoring platform designed for hybrid enterprise environments and managed service providers.
From Custom
PROS- Strong out of the box network device monitoring
- Reliable automated alert thresholds
CONS- User interface feels dated
- Limited native application tracing compared to APM leaders
- Best for
- Infrastructure and network monitoring
- Where it falls short
- User interface feels dated.
81.0
08

A cloud native log management and security analytics platform that delivers real time operational insights.
From Custom
PROS- Exceptional multi-tenant cloud architecture performance
- Strong compliance and security features
CONS- Query syntax has a notable learning curve
- Best for
- DevSecOps teams needing compliance and security analytics
- Where it falls short
- Users may struggle with the notable learning curve of its query syntax.
- Pick something else if
- you prefer an intuitive interface without a steep learning curve.
78.7
09

Cisco owned application performance monitoring tool focused on business transaction mapping and enterprise workloads.
From Custom
PROS- Excellent business transaction mapping
- Robust enterprise support
CONS- Dated user interface design
- Best for
- Business transaction performance tracking
- Where it falls short
- Dated user interface design.
76.3
10

Simple and reliable uptime monitoring
A straightforward website and server uptime monitoring service that checks availability at regular intervals.
From $7/month
PROS- Generous free plan
- Very easy setup process
CONS- Limited advanced alerting features on lower tiers
- Best for
- Small businesses and developers
- Where it falls short
- Lower tiers lack advanced alerting features.
- Pick something else if
- you need advanced alerting features.
74.0
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Frequently asked questions
What is the difference between monitoring and observability?
Monitoring tells you when a system is failing by tracking predefined metrics and alerts, whereas observability lets you understand why a system is failing by inspecting its internal state through logs, metrics, and traces.
How do observability platforms charge for their services?
Most platforms charge based on data ingestion volume measured in gigabytes, the number of hosts or servers monitored, or via user licenses depending on the specific vendor model.
What is OpenTelemetry and why is it important?
OpenTelemetry is an open source observability framework backed by the Cloud Native Computing Foundation that standardizes the generation and collection of telemetry data across different vendors.
Sources
Where we checked each company's facts, and when.
Sources for 1 more company
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