Datadog alternatives: top competitors compared
Named alongside Datadog
New RelicBest forEngineers responsible for application and system uptime and reliability, and teams that want full-stack observability starting from a free tier.87% of Datadog answersGrafanaBest forTeams that want open-standard observability without lock-in, from startups to Fortune 500 enterprises81% of Datadog answersDynatraceBest forLarge enterprises running cloud-native, hybrid and AI workloads that want one platform for observability and security70% of Datadog answersOpenTelemetryBest forTeams that want to instrument applications once and keep the freedom to change observability backends63% of Datadog answers
Data from SlateIndex weekly runs
Datadog has a visibility score of 69.5 in Observability, #1 of 45. AI answers that name Datadog most often also name these 4.
What AI answers fault Datadog for
Rising costs at scale and sticker shock as log and trace volumes grow
Raised in 4 collected answers.
Complex, opaque billing and surprise overage fees
Raised in 3 collected answers.
Quick reference
| Alternative | Best for | Starting price | Visibility | Key differentiator |
|---|---|---|---|---|
| New Relic | Engineers responsible for application and system uptime and reliability, and teams that want full-stack observability starting from a free tier. | Free; paid from $10 / mo | 47.1% | Usage-based pricing built on users and data ingest or compute, with no per-host counting and no charges for data egress or hydration. |
| Grafana | Teams that want open-standard observability without lock-in, from startups to Fortune 500 enterprises | Free; paid from $19 / mo | 47.8% | Built on open standards like OpenTelemetry and Prometheus with an open source foundation, so existing tools and data sources connect without rip-and-replace |
| Dynatrace | Large enterprises running cloud-native, hybrid and AI workloads that want one platform for observability and security | $1.4 / mo | 39.9% | Dynatrace Intelligence uses deterministic AI with causal root cause analysis on the Grail data lakehouse |
| OpenTelemetry | Teams that want to instrument applications once and keep the freedom to change observability backends | — | 37.4% | Vendor-neutral instrumentation: one set of APIs that exports to any backend without changing application code |
Alternative 1
New Relic vs Datadog →New Relic
New Relic suits engineers responsible for application and system uptime and reliability, and teams that want full-stack observability starting from a free tier..
Quick facts
- Free; paid from $10 / mo · usage-based
- Free plan available
- 47.1% visibility score · #3 in Observability
- 800+ native integrations
Key features
- APM — Application performance monitoring with distributed tracing, linked to customer experience and revenue.
- Digital Experience Monitoring — Browser, mobile and synthetic monitoring with session replay to find user friction.
- AI and Agentic Monitoring — Monitors model and agent interactions, including token usage and cost.
- Infrastructure Monitoring — Health of cloud-native and Kubernetes environments, tied to the applications running on them.
New Relic vs Datadog
| Dimension | New Relic | Datadog |
|---|---|---|
| Visibility score | 47.1% | 69.5% |
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $10 / mo | $0.05 / mo |
| Free plan | Yes | No |
| Trial | Free plan available | — |
Pros
- Generous permanent free tier with 100 GB monthly ingest
- Easy setup and quick APM start with minimal upfront cost
- Unified, consumption-based pricing model
- Strong full-stack observability platform and APM pioneer
- Value and accessibility with AI-assisted querying and diagnostics
Cons
- Costs can surprise as log and trace volume scales
- Pricing requires careful cost governance and depends on usage
Alternative 2
Grafana vs Datadog →Grafana
Grafana suits teams that want open-standard observability without lock-in, from startups to Fortune 500 enterprises.
Quick facts
- Free; paid from $19 / mo · usage-based
- Free plan available
- 47.8% visibility score · #2 in Observability
Key features
- Grafana Cloud — Fully managed observability platform unifying metrics, logs, traces, profiles and business data.
- Grafana — Open source dashboarding and data visualization tool, created in 2013.
- Grafana Enterprise — Self-managed commercial edition of Grafana.
- Grafana Assistant — AI agent embedded in Grafana Cloud for questions, dashboards and automated routine work.
Grafana vs Datadog
| Dimension | Grafana | Datadog |
|---|---|---|
| Visibility score | 47.8% | 69.5% |
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $19 / mo | $0.05 / mo |
| Free plan | Yes | No |
| Trial | Free plan available | — |
Pros
- Permanent free tier
- Open, composable, flexible platform
- Strong open-source, Prometheus and OpenTelemetry support
- Cost-effective, good value
- Managed hosting
Cons
- Complex multi-dimensional usage-based billing
- Self-hosting demands significant engineering maintenance
- Capped free-tier limits
Alternative 3
Dynatrace vs Datadog →Dynatrace
Dynatrace suits large enterprises running cloud-native, hybrid and AI workloads that want one platform for observability and security.
Quick facts
- $1.4 / mo · usage-based
- 15-day free trial
- 39.9% visibility score · #4 in Observability
- 952+ native integrations
Key features
- Application Observability — APM, distributed tracing and profiling for cloud-native and enterprise stacks.
- AI Observability — Observability for generative AI applications, LLMs and agents.
- Infrastructure Observability — End-to-end infrastructure observability for multi-cloud environments.
- Log Analytics — Log analytics from troubleshooting to business processes.
Dynatrace vs Datadog
| Dimension | Dynatrace | Datadog |
|---|---|---|
| Visibility score | 39.9% | 69.5% |
| Pricing model | Usage-based | Usage-based |
| Entry price | $1.4 / mo | $0.05 / mo |
| Free plan | No | No |
| Trial | 15-day free trial | — |
Pros
- AI-driven automation with Davis AI
- Automated root-cause analysis for complex environments
- Unified full-stack observability and security platform
- Strong fit for large enterprise and hybrid-cloud environments
- Free trial available with own data or sandbox
Cons
- Steep learning curve for its query language
- Higher price point that causes sticker shock as data volumes grow
Alternative 4
OpenTelemetry vs Datadog →OpenTelemetry
OpenTelemetry suits teams that want to instrument applications once and keep the freedom to change observability backends.
Quick facts
- Pricing not available
- 37.4% visibility score · #5 in Observability
- 1151+ native integrations
Key features
- OpenTelemetry Collector — A proxy that receives, processes, and exports telemetry data, deployed as an agent or gateway.
- Language SDKs — SDKs that implement the specification, APIs, and export of telemetry data for 12+ languages.
- Automatic instrumentation — Components that generate telemetry data without requiring code changes.
- OpenTelemetry Operator for Kubernetes — A tool for running OpenTelemetry on Kubernetes.
OpenTelemetry vs Datadog
| Dimension | OpenTelemetry | Datadog |
|---|---|---|
| Visibility score | 37.4% | 69.5% |
| Pricing model | — | Usage-based |
| Entry price | — | $0.05 / mo |
| Free plan | — | No |
| Trial | — | — |
Pros
- Native OpenTelemetry support across observability platforms
- Reduces vendor lock-in and keeps telemetry portable
- Strong fit with Prometheus and Grafana ecosystems
- Dominant open standard for instrumenting code
- Free or low-cost use via open-source tooling
Cons
- Limited OpenTelemetry support
How to choose
Match the pricing model to your cost driver: headcount, usage or features.
| Platform | Pricing model | Starting price |
|---|---|---|
| Datadog | Usage-based | $0.05 / mo |
| New Relic | Usage-based | Free; paid from $10 / mo |
| Grafana | Usage-based | Free; paid from $19 / mo |
| Dynatrace | Usage-based | $1.4 / mo |
| OpenTelemetry | — | — |
More alternatives
Ranked by how often AI answers name them alongside Datadog in the latest weekly run.