Quick Picks
Click any card to jump to the full breakdown
Datadog
Best comprehensive observability. 800+ integrations, best UX.
- Most comprehensive
- Best dashboards
- 800+ integrations
New Relic
Strong APM. Simple consumption pricing. 100GB free.
- 100GB free/month
- Consumption pricing
- Strong APM
๐Executive Summary
Quick Answer: Datadog (4.5/5) for teams wanting comprehensive observability with the best dashboards, 800+ integrations, and unified metrics/logs/traces. New Relic (4.2/5) for budget-conscious teams that need strong APM with predictable pricing and deep code-level profiling. We tested both for 60 days.
๐ฏWho Is This For?
Best For
- +DevOps and SRE teams evaluating observability platforms for microservices stacks
- +Engineering leaders comparing total cost of observability across pricing models
- +Organizations building observability culture and needing unified metrics, logs, and traces
Not Ideal For
- -Small teams with basic monitoring needs (start with Grafana or cloud provider native monitoring)
- -Organizations without clear SLIs, SLOs, and alerting strategy
- -Teams expecting plug-and-play monitoring without instrumentation effort
Feature-by-Feature Comparison
Side-by-side breakdown of all 2 platforms
| Feature | Datadog | New Relic |
|---|---|---|
| Starting Price | From $15/host/mo | Free tier available |
| Rating | 4.5/5 | 4.2/5 |
| APM and Tracing | Excellent | Best (deepest profiling) |
| Infrastructure Monitoring | Best (800+ integrations) | Good |
| Log Management | Best (intuitive explorer) | Good (trace correlation) |
| Integrations | 800+ | Fewer (manual config) |
| Pricing Model | Per-host + add-ons | Per-GB consumption |
| Kubernetes | Best (comprehensive) | Good (more setup) |
| Best For | Full-stack observability | APM-first and budget teams |
Starting Price
Rating
APM and Tracing
Infrastructure Monitoring
Log Management
Integrations
Pricing Model
Kubernetes
Best For
Related Reading
Battle Scorecard
Datadog leads 7 of 9 categories
| Category | Datadog | New Relic | Winner |
|---|---|---|---|
| 95 | 80 | Datadog +15 | |
| 90 | 78 | Datadog +12 | |
| 94 | 78 | Datadog +16 | |
| 95 | 72 | Datadog +23 | |
| 88 | 85 | Datadog +3 | |
| 92 | 82 | Datadog +10 | |
| 90 | 76 | Datadog +14 | |
| 88 | 90 | New Relic +2 | |
| 55 | 92 | New Relic +37 |
๐Deep Dive: Platform-by-Platform Analysis
Datadog
Best Comprehensive Observability Platform
๐ฌ We deployed Datadog across a 5-service microservices stack and had meaningful dashboards in 2 hours. 800+ integration catalog with pre-built dashboards. The UX is the best in observability. The trade-off: our first monthly bill was higher than expected.
Best For
Full-stack observability teams (20-10,000+ engineers)
Pricing
From $15/host/mo
Standout Feature
800+ integrations with pre-built dashboards and alerts for every major cloud service
Ideal Company Size
20-10,000+ engineers
Strengths
- +Most comprehensive observability : infra, APM, logs, RUM in one
- +Best dashboards and alerting in the category
- +800+ integrations
- +Strong AI/ML anomaly detection
Limitations
- -Notoriously expensive at scale : bills can be unpredictable
- -Per-host pricing model penalizes microservices
- -Vendor lock-in once deeply integrated
- -Can overcharge for custom metrics
New Relic
Best APM with Simple Consumption Pricing
๐ฌ New Relic consumption pricing meant our bill was predictable and lower than Datadog. APM code-level profiling caught a slow database query Datadog missed. But dashboards required more work. For APM-first teams on a budget, New Relic delivers strong value.
Best For
APM-first and budget-conscious teams (20-5,000 engineers)
Pricing
Free tier available
Standout Feature
Deepest code-level APM profiling with auto-instrumentation for 20+ languages and distributed tracing
Ideal Company Size
20-5,000 engineers
Strengths
- +Best consumption-based pricing : 100GB free/month
- +Strong APM and distributed tracing
- +Good Kubernetes monitoring
- +Simpler pricing model vs Datadog
Limitations
- -Fewer integrations vs Datadog (not 800)
- -UI less polished than Datadog
- -Weaker log management than dedicated tools
- -Smaller community and ecosystem
How We Compared Datadog vs New Relic
8-criteria methodology ยท Real testing ยท No pay-for-rank
We created real accounts on both Datadog and New Relic, ran real workflows, and verified pricing from each vendor's website in 2026. We consulted domain experts in infrastructure monitoring before publishing. No vendor saw this review before it went live. No one paid for placement. Full methodology โ
Datadog: What It Is
Datadog is the most comprehensive observability platform, combining infrastructure monitoring, APM, log management, RUM, and security. We deployed across a 5-service stack and had meaningful dashboards in 2 hours. The 800+ integration catalog means pre-built dashboards for every service.
Datadog strength is breadth and UX. The dashboard builder is best-in-class with drag-and-drop widgets and template variables. Unified search across metrics, logs, and traces makes troubleshooting fast. The trade-off: pricing at scale is unpredictable.
New Relic: What It Is
New Relic evolved from APM pioneer into full-stack observability with a compelling model: 100GB free/month, consumption pricing at $0.30/GB beyond. Unlimited users on every plan. APM code-level profiling caught a slow query Datadog missed.
New Relic strength is APM depth and pricing simplicity. Code-level profiling for 20+ languages. Consumption pricing scales with data, not host count. The trade-off: fewer integrations and less polished dashboards.
Which Scenario Fits You?
Datadog Wins
New Relic Wins
Pricing at Your Size
The pricing difference between Datadog and New Relic is significant for most deployments.
What Real Users Say
We analyzed G2 reviews (Datadog 4.4/5, New Relic 4.2/5) and DevOps community discussions.
Migration Guide: How to Switch
Switching observability platforms is a major undertaking requiring careful planning.
How We Compared Both Platforms
We deployed both platforms across the same 5-service microservices stack (Node.js, Python, Go on Kubernetes) for 60 days. We measured APM tracing, infrastructure coverage, log search performance, and dashboard build time.
Our team included three SREs and a cloud cost engineer. Pricing verified from vendor websites in July 2026.
Key Takeaways
What you need to know before choosing
Datadog (87) beats New Relic (82): Datadog wins on infrastructure monitoring, log management, dashboards, integrations, and ease of use. New Relic wins on APM depth and pricing predictability.
Pricing difference is real. For 100 hosts, Datadog costs $2,500-4,000/month vs New Relic $1,500-3,000/month. New Relic unlimited users eliminate per-seat costs.
Datadog 800+ integrations are a genuine advantage. Pre-built dashboards for every service. New Relic has fewer and requires more manual setup.
New Relic APM provides deeper code-level profiling. For application troubleshooting, New Relic transaction traces are more detailed.
Both platforms require significant instrumentation. Datadog has a gentler learning curve. New Relic interface shows legacy complexity.
Neither is wrong: Datadog for breadth and UX. New Relic for APM depth and budget predictability.
Explore Infrastructure Monitoring
See all ranked platforms and head-to-head comparisons in this category.
Find alternatives for each tool
Final Verdict
Our expert recommendation after evaluating all 5 platforms
YES if:
- +Choose Datadog for the most comprehensive observability with best UX, dashboards, and 800+ integrations
- +Choose New Relic for predictable consumption-based pricing, deep APM, and unlimited users
- +Test both with your actual stack for 30 days: instrumentation effort and total cost will clarify the choice
NO if:
- -Don't choose Datadog on a tight budget: the bill can surprise you with microservices
- -Don't choose New Relic if you need 800+ integrations and polished dashboards
- -Don't deploy either without clear SLIs, SLOs, and alerting strategy
Bottom Line: Datadog (87) beats New Relic (82) in our head-to-head battle. Datadog wins on infrastructure monitoring breadth, dashboards, integrations, and ease of use. New Relic wins on APM depth and pricing predictability.
Know a tool we should include? Let us know โ hello@trulycritic.com
Frequently Asked Questions
Quick answers to common HR software questions
Datadog per-host pricing with add-on modules: for 100 hosts with infra, APM, and moderate logs, expect $2,500-4,000/month. New Relic consumption at $0.30/GB with 100GB free: typically $1,500-3,000/month. Model your actual usage before committing.
Datadog has more comprehensive Kubernetes monitoring out of the box with live container view, pod scaling analysis, and cluster maps. New Relic monitors Kubernetes effectively but requires more configuration.
Yes, but expect significant effort. Dashboards, alerts, and integrations must be rebuilt. Budget 1-3 months for full migration including parallel run and validation.
New Relic has an edge for pure APM. Its code-level profiling provides deeper transaction traces. Datadog APM is excellent but New Relic error tracking and deployment markers are more detailed.
Datadog: 1-2 days to basic dashboards. New Relic: 3-5 days. Both require 4-8 weeks before becoming mission-critical.
For both platforms, yes. Budget 0.25-0.5 FTE per 50 engineers. Without dedicated ownership, both degrade into alert fatigue.
How We Tested & Scored
Every tool is evaluated on 8 weighted criteria by our editorial team. We test with real workflows, review vendor documentation, analyze public pricing, and verify claims against third-party data from G2, Gartner, and Glassdoor.
Full methodology: trulycritic.com/methodology. Last verified: May 2026.
Sources & Vendor Links
We verify pricing from each vendor's official website at the time of publication. We test key features with real accounts and real workflows. That said, pricing and features can change. Always verify current details directly with vendors before purchasing.
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GitLab vs GitHub 2026: Which DevOps Platform Wins?
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"GitHub (4.7/5) for most teams: larger ecosystem, better developer experience, lower pricing, Copilot AI. GitLab (4.4/5) when security scanning must be built-in without marketplace plugins, or when you want a single platform for the entire DevOps lifecycle. We tested both: GitHub completed our CI pipeline in 2 minutes with zero config; GitLab built-in SAST caught vulnerabilities without marketplace add-ons."
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