Datadog alternatives: what else is worth comparing

Datadog is the default single-pane observability platform for a reason: no-code dashboards you can build in minutes, more than 1,000 integrations covering the whole cloud stack, and a genuinely unified view of infrastructure, APM, and logs. It shines in cloud-native, containerized (Kubernetes and Docker) environments for mid-market and enterprise teams standardizing on one tool. The reason those teams start shopping is almost always the invoice. Datadog's own reviewers flag that costs rise quickly and unpredictably — log indexing and custom metrics especially — and that host-based pricing gets expensive as infrastructure scales, to the point smaller teams struggle to justify the premium. It's also cloud-only, with no self-hosted option, and the sheer number of features carries a steep learning curve. Datadog does offer a free tier, but paid infrastructure monitoring starts around $15 per host per month and the bill grows with every host, custom metric, and indexed log — which is precisely why usage-based cost is the most common trigger for evaluating alternatives. Each of these three same-category tools attacks one of those pressure points from a different direction.

• New Relic — escapes per-host billing with a usage-based, per-GB model.
• Grafana — the open-source, self-hostable pick.
• Dynatrace — lets AI find root cause instead of you building dashboards.

1. New Relic — for teams that want off the per-host meter

New Relic's biggest structural difference from Datadog is how it bills: per gigabyte ingested rather than per host. That removes the "host anxiety" Datadog is known for and is often cheaper for small-to-medium teams, while still delivering full-stack APM, infrastructure, logs, and traces in one platform across roughly 750 integrations. It also carries strong compliance coverage — FedRAMP Moderate, HIPAA, SOC 2, ISO 27001 — for regulated teams, and its alerting is praised for catching issues before they escalate.

The tradeoff is that data-ingest billing can still spike as volume grows, so it's a different cost model rather than a guaranteed discount at every scale. New Relic's NRQL query language and custom dashboard setup also carry a notable learning curve, some reviewers find the UI overwhelming at first, and a few smaller customers report slow support. Pick it when per-host pricing specifically is what's hurting. New Relic backs this pitch with a 4.4 rating across 1,133 reviews spanning G2, Capterra, and TrustRadius — evidence its ingest-based model has broad support beyond just price-sensitive teams.

2. Grafana — for teams that want open source and self-hosting

Grafana is the only option here that runs on-premise or hybrid, directly answering Datadog's cloud-only limitation. It's built on the open Prometheus and OpenTelemetry ecosystem with a large catalog of 100-plus data sources, and Grafana Cloud gives you the managed LGTM stack (Loki, Mimir, Tempo) without running that backend yourself. For teams already invested in open-source observability who want cost control and deployment flexibility, it's the natural home, and its dashboards are among the most flexible and highly praised in the category.

Be clear-eyed about two things: Grafana Cloud billing is still usage-based across many meters and can produce surprising invoices as active series, logs, traces, and synthetic checks grow — so it's not automatically cheaper — and PromQL/LogQL carry a real learning curve. It's not a turnkey APM for a non-technical team, but for engineers who want the open stack unified, it's excellent. Grafana holds a 4.5 rating across roughly 156 G2 reviews — the smallest review base of the three here, reflecting its narrower, more technical audience, but a strong score nonetheless.

3. Dynatrace — for enterprises that want AI to do the correlating

Dynatrace goes the opposite way from cost-cutting: it's a premium, enterprise-grade platform whose Davis AI engine automatically maps dependencies and pinpoints root cause, so SRE teams spend less time correlating dashboards by hand. It offers deep PurePath distributed tracing, single-platform coverage spanning APM, infrastructure, logs, RUM and security, on-premise and hybrid deployment, and consistently well-rated support — a fit for the mid-market and enterprise estates where downtime cost justifies the spend.

The tradeoff is that this is a scale-up, not a cost-down. Pricing is premium and gets expensive at scale, the usage-based licensing model is confusing and hard to forecast for annual contracts, and full configuration has a steep learning curve. It's the wrong answer for the startups and tight-budget teams Datadog already prices out — and the right one for large enterprises wanting automation over manual investigation. Dynatrace backs its premium pricing with a 4.5 rating across 1,359 reviews and a 917-item integration Hub — evidence its automation-first approach has strong buyer support despite the cost.

Is Datadog worth switching away from?

Datadog holds a 4.4 rating across 808 reviews and remains the most full-featured, easiest-to-build-dashboards option of the group; cost predictability, not product quality, is almost always what drives teams to evaluate alternatives. Its 1,000-plus integration catalog is also the largest of the four tools compared here, so leaving Datadog often means trading some connective breadth for a more predictable bill.

Which alternative is cheapest for a small team?

New Relic's per-GB-ingested billing, paired with a genuine free tier, is typically the most economical starting point for small-to-medium footprints; Grafana's core is free and open-source, but Grafana Cloud is metered too, so neither guarantees the lowest bill once usage scales, and both still reward teams that put real effort into tuning what they collect.

Which one is best for teams that need on-premise deployment?

Grafana and Dynatrace both support on-premise or hybrid deployment, unlike Datadog and New Relic, which are cloud-only.

Which one actually replaces Datadog for you

If per-host pricing is the specific pain, New Relic's ingest-based model is the most direct swap. If you need open source, cost control, or an on-premise deployment, Grafana is the only pick here that delivers all three. And if you're a large enterprise that would rather have AI surface root cause than build dashboards, Dynatrace is worth its premium — just not if budget sensitivity is what drove you away from Datadog in the first place.