Alternatives to Datadog
Datadog alternatives worth switching to
The best Datadog alternatives are Grafana with Prometheus (open source, the industry default, no per-host billing), SigNoz (open-source and closer to Datadog's all-in-one experience), and Better Stack for smaller teams who want something simple. Switch if unpredictable bills are the problem — Datadog's pricing is famous for surprising people — stay if you genuinely use its breadth and your team has no appetite to run monitoring themselves.
Pricing verified 2026-07-28 · we re-check quarterly ·
how we compare
Why people leave Datadog
- Bills that arrive far higher than expected — custom metrics and log volume are the usual culprits
- Per-host pricing that punishes containerised and autoscaling workloads
- Each capability priced as a separate product
- Wanting telemetry stored on your own infrastructure
The alternatives
1 Grafana + Prometheus open source
Best for: Teams willing to run their own observability
Pricing: Free and open source. Your cost is hosting — roughly $5–20/month on a small VPS, or nothing on hardware you already own — plus your own time for updates and backups. Grafana Cloud offers a managed version with a free tier. source
Strengths
- The de facto open-source standard — vast community, dashboards and integrations
- No per-host or per-metric billing when self-hosted
- Grafana Cloud's free tier is genuinely usable for small setups
Trade-offs
- You are assembling a stack: Prometheus, Loki, Tempo, Grafana
- Real operational effort — the monitoring needs monitoring
- Less polished out of the box than Datadog
Verdict: The right answer for teams with platform engineering capacity. Below that, the time cost outweighs the licence saving.
source code ↗ 2 SigNoz open source
Best for: Datadog's experience without Datadog's bill
Pricing: Free and open source. Your cost is hosting — roughly $5–20/month on a small VPS, or nothing on hardware you already own — plus your own time for updates and backups. A managed cloud tier is also offered. source
Strengths
- Metrics, traces and logs in one product rather than a stack to assemble
- Built on OpenTelemetry, so no proprietary agent lock-in
- Far cheaper than Datadog at comparable volume
Trade-offs
- Younger and less feature-complete than Datadog
- Smaller community when troubleshooting
- Self-hosting still requires real resources
Verdict: The best single-product open-source option. Choose it over Grafana when you want one thing to run, not four.
source code ↗ 3 Better Stack
Best for: Small teams who want monitoring to be simple
Pricing: Free tier plus usage-based paid plans. Prices change often, so check the vendor's current pricing page before deciding. source
Strengths
- Genuinely quick to set up — minutes, not weeks
- Uptime, logs and incident management in one place
- Pricing that is easy to predict
Trade-offs
- Less depth than Datadog for complex distributed systems
- Fewer integrations
- Not aimed at large-scale infrastructure
Verdict: The pragmatic pick for small teams whose real need is uptime and logs, not full APM.
4 New Relic
Best for: Full APM with more predictable pricing
Pricing: Usage-based pricing built around data ingested and user seats, with a free tier. Prices change often, so check the vendor's current pricing page before deciding. source
Strengths
- Comparable depth to Datadog for APM
- Pricing model many teams find easier to forecast
- A free tier that is usable for small teams
Trade-offs
- Interface is dense
- Per-user costs add up on larger teams
- Still a commercial vendor with the same lock-in concerns
Verdict: The like-for-like commercial swap when you want Datadog's capability with fewer billing surprises.
Don't switch if…
- You genuinely use Datadog's breadth across APM, logs, RUM and security
- Your team has no capacity to run observability infrastructure
- Existing dashboards and monitors represent significant sunk effort
- The bill, however large, is smaller than the engineering time to replace it
We say this on every page. A comparison that never recommends staying put is an
advert, not a comparison.
Questions people actually ask
Who is Datadog's biggest competitor?
New Relic and Dynatrace among commercial vendors, and Grafana with Prometheus in open source. For teams switching on cost specifically, Grafana and SigNoz are the most common destinations.
Is Datadog a Snowflake competitor?
Not directly. Datadog is an observability platform for monitoring systems; Snowflake is a data warehouse for analytics. They overlap slightly because both ingest and store large volumes of data, and Datadog's log storage can substitute for warehousing telemetry, but they are bought for different reasons.
Is Datadog better than Grafana?
Datadog is more polished and works out of the box across more signals. Grafana is more flexible and dramatically cheaper at scale, but you assemble and operate the stack. The deciding question is whether you have platform engineering capacity, not which product is better.
Who is Datadog's largest customer?
Datadog does not disclose individual customer spend, and its filings describe customer counts by revenue band rather than naming the largest. Any specific claim you see about its biggest customer is speculation.
Why is Datadog so expensive?
Each capability is billed separately and several dimensions — custom metrics, log volume, container counts — scale in ways that are hard to predict in advance. Bills commonly surprise teams after an autoscaling event or a noisy new service.
What is the best open-source alternative to Datadog?
SigNoz if you want a single product covering metrics, traces and logs. Grafana with Prometheus, Loki and Tempo if you want the industry-standard stack and are willing to run four components instead of one.