But a lot of teams arrive at it for infrastructure and network monitoring, and discover the pricing model was built for a different shape of problem: many SKUs, metered by hosts, gigabytes and events, on a bill that moves with usage. This page compares the two platforms for estate, network and OT monitoring — the ground Observability247 was built on. If the wider term is new to you, start with what observability actually means. Vendor facts come from Datadog's public pricing page, last checked July 2026.
Observability247 vs Datadog at a glance
| Aspect | Observability247 | Datadog |
|---|---|---|
| Pricing model | Flat per node, per edition | Usage-based, per product: per host, per GB, per million events |
| Predictability | Published prices, fixable for up to five years; no surprise charges | Bill varies with usage; on-demand rates ~20% above annual commitments |
| Core unit costs | One per-node price covers the platform | Infrastructure from $15–$23/host/mo; APM from $31/host/mo; logs $0.10/GB ingest plus indexing |
| Coverage focus | Estates: endpoints, core network, applications, OT, IoT and physical (CCTV, building systems) in one window | Cloud-native: infrastructure, APM, logs, RUM and a large product family |
| Network monitoring | Included — switches, routers, firewalls, SNMP as first-class nodes | Separate product; pricing via sales |
| OT and IoT | Native coverage | Not a focus area |
| Multi-tenancy | Native — built for MSPs and telcos | Organisation model aimed at single enterprises |
| Data retention | Up to ten years included | 15-month metric retention on Pro/Enterprise; log retention priced by tier |
| Who runs it | We do — UK-owned, with UK, US or Asia hosting choice | Datadog SaaS — US-headquartered, in Datadog's cloud regions |
Why teams go looking for a Datadog alternative
The phrase you hear is bill shock, but the mechanics matter more than the anecdotes: Datadog prices each capability separately and meters most of them. Infrastructure is per host per month, APM stacks on top per host, log management charges for ingestion by the gigabyte and again for indexing by the million events, and network monitoring is a separate conversation with sales. Each number is public and each is reasonable in isolation — the difficulty is that the total is a function of usage you're trying to predict, and a chatty quarter or a log-heavy incident shows up on the invoice. Teams monitoring relatively stable estates — offices, data centres, branch networks, factory floors — find they're paying for a metering model designed for elastic cloud workloads they don't have. And OT, IoT and workspace endpoints were never the product's centre of gravity.
Where Datadog is strong
If your core problem is understanding distributed applications — tracing requests across microservices, correlating deploys with latency, watching cloud infrastructure scale up and down — Datadog is genuinely excellent, with an integration catalogue and product breadth few can match. Teams whose estate is the cloud, with engineering budgets shaped for usage-based tooling, may be exactly where Datadog wants them to be. We'd rather tell you that plainly: deep APM and distributed tracing is not the battle we're picking.
Where Observability247 differs
Built for estates, not just workloads. The platform monitors what an IT operation actually owns: workspace endpoints, the core network, the applications on top, and the OT, IoT and physical layer alongside — CCTV, access control and building systems included — one window, no blind spots, with switches and SNMP devices as first-class citizens rather than a separately priced product.
Sovereign by choice. Observability247 is UK-owned, and you choose where your data lives — UK, US or Asia. For organisations with residency or sovereignty requirements, that's a decision you make once, not a constraint you inherit from a US-headquartered SaaS.
One number per node. A node has a price; your estate has a count; multiply them and that's the bill — fixable for up to five years, with no usage meter ticking underneath. Budget holders tend to appreciate this more than any dashboard we could show them.
History that stays. Up to ten years of data retention is included — trend analysis, capacity planning and compliance evidence don't expire after fifteen months or move to a priced storage tier.
Service-desk native. Ticket Intelligence (one ticket per real issue), Predict and Prevent (leading indicators before outages) and context-aware prioritisation turn monitoring output into a ranked incident queue — built by service desk engineers, for the people who answer the tickets. And for MSPs and telcos, multi-tenancy is native rather than an org-model workaround.
Pricing compared
Datadog's published rates, as of July 2026: infrastructure monitoring from $15 (Pro) to $23 (Enterprise) per host per month billed annually, with on-demand roughly 20% higher; APM from $31 per host per month; log management at $0.10 per GB ingested plus indexing from $1.70 per million events on the standard 15-day tier; network monitoring priced through sales. Metric retention on Pro/Enterprise is 15 months. Observability247 is one per-node price per edition — Essentials or Advanced — covering the platform, with prices published openly on our pricing page and up to ten years of retention included. For a like-for-like estimate, bring your host and device count to a demo and we'll put both models side by side on your numbers rather than ours.
Pricing and features checked July 2026; always verify current terms with the vendor.
Migrating from Datadog
One: separate your workloads — if you're running deep tracing on cloud-native services, keep it where it works; moving estate, network and OT monitoring to Observability247 while keeping a smaller Datadog footprint for tracing can alone retire a large share of the metered spend. Two: inventory hosts and devices into a node count for a fixed quote. Three: run the platforms in parallel for two to four weeks, porting alert rules into ticket rules with correlation applied. Four: redirect log retention needs into the included ten-year history, then step down the metered tiers. Our engineers scope this with you at the demo, including anything we don't cover.
Frequently asked questions
Is Observability247 cheaper than Datadog?
It depends on your estate, so we won't pretend otherwise — the models differ more than the numbers. Datadog meters by host, gigabyte and event across separate products; Observability247 is one published per-node price per edition. For stable estates with networks and OT in the mix, a flat per-node bill is usually the calmer number; for elastic cloud workloads the comparison narrows. Bring your counts to a demo and we'll run both honestly.
Does Observability247 do APM?
Yes — application performance, synthetic checks and real-user monitoring are part of the estate view, correlated into tickets alongside everything else. If your primary need is deep code-level distributed tracing across microservices, Datadog's APM is stronger in that lane, and the two run comfortably side by side.
Can I keep historical data longer than Datadog's retention tiers?
Yes — up to ten years of retention is included, rather than 15-month metric retention or log storage priced by tier.
Does Observability247 cover network devices without a separate product?
Yes. Switches, routers, firewalls and SNMP devices are ordinary nodes in the same window as endpoints, applications and OT/IoT — network monitoring isn't a separately priced add-on.
Can we run Observability247 and Datadog together?
Yes, and it is a sensible split: estate, network and OT monitoring here on a fixed per-node bill, with a smaller Datadog footprint retained for cloud-native tracing.