Datadog is, by a wide margin, the most complete observability platform ever built: APM, logs, RUM, synthetics, hundreds of integrations. If you run software services, it is genuinely hard to do better. Plexus asks a different question — what does a team operating hardware actually need? The answer looks different: sources and fleets instead of hosts and services, dashboards that generate themselves from the first data a device sends, offline detection for things that go dark, a full audit trail on every alert, and pricing that counts data rows instead of hosts. And instead of requiring your telemetry to move, Plexus can attach to the datastore you already run.
Datadog is a observability platform (apm · logs · aiops). Both put dashboards and alerts on live systems; the difference is the subject and the model — Datadog ingests your software telemetry into Datadog, Plexus is built for hardware fleets and can work on the datastore you already run. This page is written by Plexus, so read it with that in mind — we’ve tried to be straight about where Datadog is the better choice. Last updated July 2026.
The structural difference is the data model. Datadog's model is ingestion: your telemetry moves into Datadog and is priced on the way in. Plexus's model is connection: a device streams in through a three-line SDK or plain HTTP, or Plexus attaches to the Postgres, TimescaleDB, MySQL, or ClickHouse you already run and treats it as a live, queryable part of the fleet — no migration, no rip-and-replace.
● full · ◐ partial · ○ not today
| Capability | Plexus | Datadog |
|---|---|---|
Full-stack suite: APM, RUM, logs, synthetics, profiling Datadog is a broad observability platform. Plexus does one job — the operations frontend for hardware fleets — and is not an APM, RUM, or log-analytics replacement. | ○ | ● |
Large integration catalog (hundreds of sources) Datadog's catalog is among the largest in the industry. Plexus integrates with far fewer sources today. | ○ | ● |
Enterprise maturity and proven scale Datadog is battle-tested across tens of thousands of organizations. Plexus is young by comparison. | ◐ | ● |
Mobile, synthetic, and session-replay monitoring Squarely Datadog's territory, and out of Plexus's scope. | ○ | ● |
Connects to your existing datastore with no migration Plexus attaches to Postgres, TimescaleDB, MySQL, or ClickHouse in place. Datadog's model is to ingest your telemetry into Datadog. | ● | ○ |
Pricing without per-host seats Datadog is priced largely by hosts plus data ingested and indexed. Plexus is usage-priced — $0.10 per million metric rows, first $5/mo covered — with no host count anywhere in the bill. | ● | ○ |
Dashboards auto-generated from the first data a source sends Datadog ships default dashboards per integration; Plexus builds the starter dashboard from whatever metrics actually land — including hardware nobody wrote an integration for. | ● | ◐ |
Device-native model: sources, fleets, offline detection Datadog models hosts and services. Plexus models hardware — a source that goes dark fires an offline monitor, and fleet views are the default. | ● | ◐ |
Per-alert audit trail with verdict capture Datadog keeps monitor history. Plexus keeps a full timeline on every alert — fired, delivered, acknowledged, resolved — plus the human verdict on whether it was real, so rules get tuned on evidence. | ● | ◐ |
Plain-language operations via a built-in AI terminal Datadog is adding AI assistants across its suite. Plexus ships a ⌘K terminal that queries the fleet and proposes actions in plain language, in the same UI you operate. | ● | ◐ |
Pick Datadog Pick Datadog if you want one platform to watch everything — services, application performance, logs, user sessions, synthetics — backed by the largest integration catalog and the most mature tooling in the category. If your world is mostly software, and ingesting telemetry into Datadog suits you, little else is as complete.
Pick Plexus Pick Plexus if what you operate is hardware — a fleet of devices, machines, or vehicles — and you want dashboards that build themselves, monitors with a real audit trail, and a bill based on data rows instead of host counts. Especially if your telemetry already lives in a store you'd rather not move: Plexus attaches to it instead of ingesting it. The two aren't mutually exclusive — plenty of teams keep Datadog for their software services.
Subject and model. Datadog is built for cloud software — hosts, services, APM — and works by ingesting your telemetry into Datadog, priced by hosts and volume. Plexus is built for hardware fleets — sources, fleets, devices that go dark — and works by connection: stream from a device with a three-line SDK, or attach to the Postgres, TimescaleDB, MySQL, or ClickHouse you already run. Dashboards generate themselves from the first data, monitors cover thresholds, events, and offline, and every alert keeps an auditable timeline.
No. If your telemetry already lands in Postgres, TimescaleDB, MySQL, or ClickHouse, Plexus connects to that store in place — no migration, no per-gigabyte ingest into one more vendor. For devices with no store yet, Plexus ingests directly via the Python SDK or plain HTTP, with 3-year raw retention and 5-year hourly rollups included.
Only for one slice of the job — operating a hardware or device fleet — and there it's a real one. Plexus is not an APM, a log-analytics suite, or a RUM/synthetics product; Datadog is all of those and more. Many teams run Datadog for application observability and Plexus for the hardware side that Datadog was never really shaped for.
For hardware fleets. Connections to the datastore you already run instead of forced ingestion; dashboards that auto-generate from the first data a device sends; device-native monitors — threshold, event, and offline — each with its own email, Slack, or webhook routing; a per-alert audit trail with verdict capture; a plain-language ⌘K terminal; and usage pricing with no per-host seats. Most everywhere else — breadth, integrations, maturity — Datadog leads.