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OxiPulse vs Datadog Agent

By SecuryBlack

Datadog and OxiPulse are not direct competitors. Datadog is a full observability platform with APM, logs, synthetics, security and dashboards built in. OxiPulse is a lightweight agent that ships system metrics to any OTLP backend. The question is not "which is better" but "what do you actually need."

Resource overhead

The Datadog Agent requires a minimum of 256 MB of RAM and uses 0.5–3% CPU on a typical server. On a large fleet of powerful machines this is negligible. On a VPS, a Raspberry Pi, or an edge device it is significant.

OxiPulse uses under 8 MB of RAM and under 0.05% CPU. It was designed specifically for constrained environments.

Cost

Datadog pricing is based on host count and features. Infrastructure monitoring starts at around $15–$27 per host per month (depending on plan), billed annually. For a 50-server fleet that is $750–$1,350 per month before any APM, log management, or add-ons.

OxiPulse is Apache 2.0. SecuryBlack's hosted ingestor is included in the SecuryBlack subscription. There is no per-host fee.

Protocol and vendor lock-in

The Datadog Agent sends data exclusively to Datadog's endpoints. If you want to move away from Datadog, your metric history stays in Datadog's infrastructure.

OxiPulse uses OTLP — an open standard. Your data goes to whatever backend you point it at. You can run your own OpenTelemetry Collector, send to Grafana Cloud, or use SecuryBlack's ingestor. Switching backends requires changing one line in config.toml.

Feature depth

Datadog wins on breadth without question: APM traces, log correlation, network performance monitoring, CI visibility, real user monitoring. OxiPulse does one thing — system metrics — and does it with minimal overhead.

When Datadog makes sense

  • You need APM and log correlation alongside infrastructure metrics
  • Your budget accommodates per-host pricing
  • You want a single vendor for the full observability stack

When OxiPulse makes sense

  • You need lightweight system metrics without APM or log management
  • Cost per host is a constraint
  • You want to own your data and avoid vendor lock-in
  • Your backend already speaks OTLP