Teams leave Datadog for three reasons: cost at scale, alert fatigue, and data lock-in. Here’s an honest, ranked field of alternatives — what each is best at, and which one fits the problem you actually have. Last updated June 2026.
Ranked for the GPU/AI-datacenter on-call use case. This page is published by Plexus — we put ourselves first for that specific problem, and we’re straight about what each other tool does better.
Where every other tool sends a smarter alert to a human to sort out, Plexus does the triage for you — in the open: it makes the signal-vs-noise call itself, surfaces only the few signals that are real (each root-caused), and lets you see exactly why every other alert was held. It runs on the Prometheus, Thanos, or ClickHouse you already have (no migration) and goes deep on the GPU hardware layer — Xid, ECC/HBM, NVLink, and multi-vendor BMC/IPMI/thermal/power. On one real GPU-fleet hour: 216 alerts in, 2 escalated, 214 resolved — each logged with the reason it was held.
Plexus vs Datadog →The default open-source observability stack: Prometheus/Thanos for metrics and storage, Grafana for dashboards and alerting. You own the data and pay no per-host SaaS tax — but you also build and tune everything yourself, and the alerting still pages a human. Plexus runs on top of this exact stack.
Plexus vs Grafana →An open-source, OTel-native APM that bundles traces, logs, and metrics with a single backend (ClickHouse under the hood). A strong full-platform Datadog alternative if you want broad coverage and self-host or managed cloud. It is a platform to adopt, not a triage layer on your existing store.
Polished uptime monitoring, incident management, and log management with a generous free tier and approachable pricing. Great for web/services teams; less focused on the GPU/data-center hardware layer.
Uses eBPF to capture telemetry with little instrumentation and keeps data in your own cluster, pitched hard on cost vs Datadog. Strong for Kubernetes observability; still surfaces alerts to a human rather than absorbing the noise.
A heavyweight log-analytics and SIEM platform. Powerful and broad, but priced by volume — often the reason teams move off it for infrastructure monitoring. Strong for security/log analytics; heavy and costly if all you need is to cut infra alert noise.
Plexus vs Splunk →If the pain is storage cost, a ClickHouse-backed store (OpenObserve, or your own) is dramatically cheaper than Datadog ingest. But a store is not a monitoring brain — you still need the layer that decides what's worth looking at.
Plexus vs ClickHouse →Three reasons dominate: cost at scale (per-host and ingest pricing climbs fast on a large GPU fleet), alert fatigue (more, tidier alerts still land on a human), and data lock-in (Datadog's model is to ingest your telemetry into Datadog). GPU/AI data centers feel all three acutely.
For GPU/AI-infrastructure on-call, Plexus is purpose-built: it does the alert triage for you and shows its work, runs on your existing Prometheus/Thanos/ClickHouse with no migration, and goes deep on the GPU hardware layer (Xid, ECC/HBM, NVLink, multi-vendor BMC/IPMI). For broad APM coverage, SigNoz is the strongest open-source full-platform option.
It depends. Plexus and the Grafana/Prometheus stack run on data you already store. SaaS platforms (Datadog, and to a degree SigNoz Cloud, Better Stack) ingest your telemetry into their backend. If avoiding migration matters, prefer the tools that read your existing store.
Yes. Plexus runs on the same Prometheus or Thanos that Grafana reads — keep your dashboards and add Plexus to do the triage for you, resolving the noise and surfacing only the real signals with the reasoning shown.