The 6 Best Datadog Alternatives in 2026 (Monitoring & Observability)
Tolodora Editorial Team
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Quick answer
The best Datadog alternatives in 2026 are Grafana, New Relic and Better Stack. Grafana is our top overall pick, best for open-source observability. See the full ranked comparison below.
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Datadog is a comprehensive observability platform, but its bills are notoriously high. Depending on whether you want open source, lower costs, or a simpler all-in-one, another tool may fit. Here are six Datadog alternatives I'd consider in 2026.
| Tool | Value | Support | Ease of use | Features | Overall | Best for |
|---|---|---|---|---|---|---|
| Better Stack | 8.6 | 8.4 | 9.0 | 8.8 | 8.7 | An affordable all-in-one. |
| Sentry | 8.4 | 8.4 | 8.8 | 9.0 | 8.7 | Errors + performance. |
| Grafana | 9.2 | 8.2 | 7.8 | 9.2 | 8.6 | Open-source observability. |
| Axiom | 9.0 | 8.0 | 8.4 | 8.8 | 8.6 | Cost-efficient logging. |
| New Relic | 8.0 | 8.4 | 8.2 | 9.2 | 8.4 | A full APM suite. |
| Honeycomb | 7.8 | 8.2 | 7.8 | 9.2 | 8.3 | High-cardinality debugging. |
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| # | Tool | Best for | Rating |
|---|---|---|---|
| 1 | Grafana | Open-source observability. | 4.3/5 |
| 2 | New Relic | A full APM suite. | 4.2/5 |
| 3 | Better Stack | An affordable all-in-one. | 4.4/5 |
| 4 | Axiom | Cost-efficient logging. | 4.3/5 |
| 5 | Sentry | Errors + performance. | 4.3/5 |
| 6 | Honeycomb | High-cardinality debugging. | 4.1/5 |
Grafana
- Pricing
- 9.2/10
- Functionality
- 9.2/10
- Ease of use
- 7.8/10
- Support
- 8.2/10
What I like
The open-source standard for dashboards, with a whole observability stack (Loki, Tempo, Mimir).
Best for
Open-source observability.
It tends to suit your business that want exactly this balance. Grafana powers dashboards over metrics, logs and traces, open source with a managed cloud. The pick for flexible, owned observability.
New Relic
- Pricing
- 8.0/10
- Functionality
- 9.2/10
- Ease of use
- 8.2/10
- Support
- 8.4/10
What I like
A full APM and observability suite with a usage-based model that can be cheaper at scale.
Best for
A full APM suite.
It tends to suit your business that want exactly this balance. New Relic offers comprehensive APM and observability with a consumption pricing model. A major Datadog alternative for full-stack monitoring.
Better Stack
- Pricing
- 8.6/10
- Functionality
- 8.8/10
- Ease of use
- 9.0/10
- Support
- 8.4/10
What I like
Uptime, incident management and logs in one clean, affordable, well-designed platform.
Best for
An affordable all-in-one.
That focus makes it a natural fit for many your business. Better Stack combines monitoring, on-call and log management with a polished UX. A friendly, cost-effective Datadog alternative.
Axiom
- Pricing
- 9.0/10
- Functionality
- 8.8/10
- Ease of use
- 8.4/10
- Support
- 8.0/10
What I like
Store and query huge volumes of logs and events affordably — ideal for serverless.
Best for
Cost-efficient logging.
Axiom is a cost-efficient logging and event platform letting you keep all your data affordably. Great for serverless and high-volume logs. For a your business setup, it's well worth a closer look.
Sentry
- Pricing
- 8.4/10
- Functionality
- 9.0/10
- Ease of use
- 8.8/10
- Support
- 8.4/10
What I like
Best-in-class error tracking plus performance monitoring developers actually love.
Best for
Errors + performance.
Sentry focuses on error tracking and performance monitoring with great developer ergonomics. A focused, popular alternative. It's a common pick among your business comparing their choices.
Honeycomb
- Pricing
- 7.8/10
- Functionality
- 9.2/10
- Ease of use
- 7.8/10
- Support
- 8.2/10
What I like
Built for high-cardinality, observability-driven debugging of complex systems.
Best for
High-cardinality debugging.
Honeycomb specializes in observability and debugging complex systems with high-cardinality data. The pick for deep production debugging. It's a common pick among your business comparing their choices.
Want open-source dashboards? Grafana. A full APM suite? New Relic. An affordable all-in-one? Better Stack. Cost-efficient logging at scale? Axiom. Errors and performance? Sentry. High-cardinality debugging? Honeycomb. Pick by cost, openness and focus.
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