Datadog vs Grafana Cloud: 2026 Pricing and Features Compared

Datadog is the better choice when you want one managed platform for infrastructure, APM, logs, RUM, and security, and you can pay per host and per product to avoid running any of it. Grafana Cloud is the better choice when you already think in Prometheus and OpenTelemetry, want usage-based pricing with a real free tier, and want to keep the option of self-hosting the same stack. Hyperping, my company, isn't an observability platform. It shows up here because both of them are often bought for a smaller job, uptime checks with on-call and a status page, that Hyperping covers on a flat plan.

I checked every price in this guide on Datadog's and Grafana's public price lists in September 2026. Review evidence comes from 175 unique Datadog G2 reviews we collected and analyzed in August 2026, plus Reddit threads for Grafana Cloud.

The number that usually settles it is the monthly bill for the same stack. For 10 hosts with APM and 100 GB of logs a month, Datadog comes to about $640/month at annual list prices and Grafana Cloud Pro to about $175/month. For the smaller job of 20 API checks every minute, 5 people on call, and one status page, Datadog is about $532/month before its status page, Grafana Cloud about $457/month without one, and Hyperping Essentials $38/month with checks every 30 seconds and the status page included.

General information about Datadog, Grafana Cloud, and Hyperping

Why trust this guide

I'm Léo, founder of Hyperping, so I have a stake in one of these tools. It's the smallest of the three by a wide margin, and for anything involving logs, traces, or dashboards this guide will tell you to buy Datadog or Grafana Cloud.

I read Datadog's and Grafana's price lists and product docs between September 23 and 25, 2026. For Datadog reviews, we collected the newest 100 and the lowest-rated 100 G2 reviews in August 2026, 175 unique after removing duplicates, and counted the recurring themes. I don't have a comparable G2 sample for Grafana Cloud, so its user quotes come from Reddit. I haven't run a production workload on both, and prices below are list prices before any negotiated discount.

Datadog vs Grafana Cloud: the short answer

Datadog sells a finished product. You install one agent, turn on integrations from a catalog of more than 1,000, and get dashboards, APM service maps, log search, and correlations out of the box. The price is set per host for infrastructure ($15/month) and APM ($31/month), per GB and per million events for logs, and per run for synthetics. The recurring complaint is the bill: 19 of the newest 100 G2 reviews in our sample complain about cost.

Grafana Cloud sells the hosted open-source stack: Mimir for Prometheus-compatible metrics, Loki for logs, Tempo for traces, plus Grafana dashboards, alerting, synthetics, and IRM. The Pro plan is a $19 platform fee plus usage, and the free tier is large enough for small production workloads. You get more control and lower prices, and you do more of the assembly work.

Pick Datadog if you want the fastest path to APM and correlated investigation, need security products like Cloud SIEM in the same vendor, or have a platform team that would rather pay than operate. Pick Grafana Cloud if you already run Prometheus or OpenTelemetry, cost control matters more than polish, or you need the option to move the same stack in-house.

Which problem are you trying to fix?

"Our Datadog bill jumped and nobody can explain it"

This is the most common reason people look at Grafana Cloud. In our Datadog sample, hosts, log indexing, custom metrics, and features someone switched on are the recurring cost drivers. From a May 2026 G2 review:

"Sometimes an admin accidently enables something and then end of the month it will be on the bill. Would have loved the option of hard disabling certain features."

G2 review

Grafana Cloud has its own traps, but they're easier to see: active series, GB of logs, and host hours. Grafana also sells Adaptive Metrics and Adaptive Logs, which drop series and log lines nobody queries.

"We already run Prometheus and want someone else to host it"

Grafana Cloud is the direct answer. Your exporters, PromQL queries, and dashboards move over unchanged. Datadog can ingest Prometheus and OpenTelemetry data, but those metrics count as custom metrics, billed at $5 per 100 beyond the allowance.

"A request is slow and we need to follow it across services"

Datadog's APM is the more finished product: service maps, flame graphs, and traces linked to logs and infrastructure without setup. Grafana Cloud does this with Tempo and Application Observability, at $0.025 per host hour (about $18 per host) against Datadog's $31. Expect to spend more time wiring it together.

"We need to keep data in our own cloud or run it ourselves"

Datadog is SaaS only. Grafana's stack is open source, so you can self-host it with no license fee, and Grafana Cloud Enterprise offers Bring Your Own Cloud deployment from a $25,000 yearly commit.

"Our monitoring went down with the thing it was monitoring"

Both platforms run inside a cloud provider and depend on the agents you install. If your region goes down, or the observability vendor has an incident, the dashboards go quiet at the moment you need them. Hyperping checks your public endpoints from 18 regions outside your infrastructure and pages from there. Alma, a French fintech, runs it next to Datadog for this reason:

"Hyperping is useful for us as a fallback and a kind of safeguard, a lighter backup monitoring solution. It allows us to track Datadog's status and see if Datadog goes down."

Alma customer story

"Customers need a status page"

Datadog now has Status Pages as part of its incident response products. Grafana Cloud doesn't sell one and connects to Atlassian Statuspage instead. Hyperping includes status pages that update from the same monitors that detect the outage.

Metrics and infrastructure

Both platforms cover hosts, containers, and Kubernetes. They price them differently: Datadog by host, Grafana by active series and host hour.

Datadog's infrastructure product is the more polished one: one agent, one catalog, and dashboards that fill in by themselves. The billing detail to watch is that host counts are billed on a high-water mark, so a short spike can set the price for the month.

Grafana's cost depends on cardinality. Ten thousand active series fit in the free tier and in the Pro platform fee, which covers a small fleet. A label with a user ID in it can multiply that overnight, which is what Adaptive Metrics is sold to catch.

Hyperping's Linux and macOS agent reports CPU, load, memory, disk, and network for each host next to your uptime checks. There's no Kubernetes view, no per-process data, and no custom metrics.

Pick Datadog for the least setup. Pick Grafana Cloud if you already have Prometheus or need to control cardinality yourself.

APM and distributed tracing

Datadog's APM is where its price is easiest to justify. A slow checkout goes from the monitor to the trace to the log line to the host in a few clicks, and reviewers keep coming back to that. From a July 2026 G2 review:

"One of the biggest strengths of Datadog is how it brings logs, metrics, traces, and alerts into a single platform."

G2 review

Grafana Cloud's Application Observability builds the same views from OpenTelemetry data, and traces are billed per GB with 50 GB included. It costs roughly half of Datadog's per-host rate. The trade-off is that your instrumentation choices shape how good it looks.

Pick Datadog if tracing across many services is your daily work and budget isn't the constraint.

Logs

Datadog splits log cost into ingestion, which is cheap, and indexing, which is where the bill grows. At about 1 KB per event, 100 GB a month is roughly 100 million events, or $170 to index for 15 days on top of $10 of ingestion.

Grafana now prices logs in three parts, processing, writing, and retaining, with 50 GB a month included. The same 100 GB costs about $27.50 beyond the included 50 GB. Loki indexes labels, not full text, so queries are written differently and can be slower on large volumes.

Pick Grafana Cloud if log volume is your largest cost. Pick Datadog if people search logs all day and need fast full-text search.

Synthetic and uptime checks

This is where the three overlap most, and where Hyperping competes directly.

Both observability platforms bill checks by the run, so frequency is a cost decision. One API check every minute from one location is 43,200 runs a month, or about $21.60 on Datadog. Grafana's 100,000 free executions cover two such checks. Adding a second location doubles the runs on both.

Grafana Cloud's checks are written as k6 scripts, which suits teams that already use k6 for load tests. From a Reddit thread on Site24x7 alternatives:

"Checkly. Grafana cloud synthetics is a little clunky but works"

r/sre comment

Hyperping counts monitors, not runs. Essentials includes 50 monitors checked every 30 seconds from the regions you choose, and a failure is confirmed from your other regions before anyone is paged. It has no private locations for internal endpoints.

Pick Hyperping for public endpoints you want checked often at a fixed price. Pick Datadog or Grafana Cloud when checks need private locations or should sit next to the traces they fail on.

Alerting, on-call, and incidents

Datadog's On-Call and Incident Management are separate seats, so a responder who uses both costs $50 a month on annual billing. Five reviews in our newest-100 sample mention alert noise, alert fatigue, or on-call limits.

Grafana IRM bills active users per calendar month, and its docs are direct about the catch:

"Being listed in a schedule or escalation chain makes a user active for the month even if they never respond to an alert. This is the most common source of unexpected IRM cost."

Grafana IRM pricing docs

Self-hosters lost an option this year: the open-source Grafana OnCall project was archived in March 2026, so on-call on the Grafana stack now means Grafana Cloud IRM or another tool.

Hyperping includes on-call, escalation policies, and phone calls on Essentials. It pages on its own monitors. Alerts from Datadog or Grafana can reach it through the API, but it's not built to route thousands of alerts from other tools.

Pick Grafana IRM if your alerts already live in Grafana. Pick Datadog On-Call if they live in Datadog. Pick Hyperping if the pages come from uptime checks.

Status pages

Datadog's Status Pages are new and tied to its Incident Management: responders publish notices from the incident. Grafana Cloud leaves this to Atlassian Statuspage, which means another vendor and another bill.

Hyperping has status pages as a core product: sections and nested service groups, manual components, maintenance windows, private pages on Pro, multi-language pages, and white labeling on Business. A failed monitor can update the page without anyone typing a notice.

"We made our Hyperping status page publicly available and it became a crucial part of our sales pitches."

DynaPictures customer story

AI, security, and hosting

Datadog is the only one of the three with security products in the same platform. Grafana is the only one you can run yourself. Hyperping is a French company hosting in EU data centers, which helps European teams on procurement for the outside-check layer.

Datadog vs Grafana Cloud vs Hyperping pricing

Datadog's main list prices at annual rates: Infrastructure Pro $15/host, Enterprise $23/host, APM $31/host, log ingestion $0.10/GB, indexed logs $1.70 per million events, custom metrics $5 per 100, API tests $5 per 10,000 runs, browser tests $12 per 1,000 runs, On-Call $20/seat, and Incident Management $30/seat. On-demand prices are about 15% to 50% higher.

Grafana Cloud Pro's main rates: metrics $6.50 per 1,000 series, logs and traces $0.05/GB to process plus $0.40/GB to write plus $0.10/GB to retain, Application Observability $0.025 per host hour, Grafana users $8 each, IRM $20 per active user, API checks $5 per 10,000, and browser checks $50 per 10,000. Enterprise starts at a $25,000 yearly commit.

What the same stack costs on each

These are my estimates from public list prices at annual rates, in dollars per month, before any discount.

The first scenario is an observability stack: 10 hosts running all month, APM on all 10, and 100 GB of logs searchable for 15 to 30 days.

The Datadog log figure assumes about 1 KB per log event. The Grafana figure assumes traces stay under the 50 GB included and that host metrics fit the included series, which a small fleet with default exporters usually does. Hyperping's row is there to show what it doesn't do: it gives you CPU, memory, disk, and network per host, not APM or logs.

The second scenario is the uptime-and-response job: 20 public API checks every minute from one location, 5 people on call, and one public status page.

Checking from a second location doubles the check cost on Datadog and Grafana Cloud, while Hyperping's price stays the same for any number of its 18 regions. The first table is why teams move from Datadog to Grafana Cloud, and the second is why many teams on either one run their public checks and status page in Hyperping.

Things Hyperping doesn't do

If an incident at your company is solved by searching logs, reading a trace, or comparing a dashboard with last week, you need Datadog or Grafana Cloud, and Hyperping won't replace either. It covers the part those tools handle from inside your infrastructure: whether customers can reach the service, who gets paged, and what the status page says.

Head-to-head

Datadog vs Hyperping

Datadog is the diagnostic system; Hyperping is the outside check and the customer update. Teams already on Datadog usually keep it and add Hyperping for synthetic checks that don't bill per run, a status page, and alerts that still work when Datadog or their cloud region has a problem. Alma runs exactly this setup and monitors Datadog's own status page from Hyperping. The Datadog vs Better Stack comparison goes deeper on Datadog's synthetics and on-call pricing.

Grafana Cloud vs Hyperping

Grafana Cloud can do uptime checks and on-call, and if all your alerts already live in Grafana that's a reasonable place to keep them. Hyperping is simpler for the same job when the checks are public endpoints: no k6 scripts, no per-execution meter, no per-user on-call bill, and a status page Grafana doesn't sell. Teams leaving the archived Grafana OnCall project who don't want Grafana Cloud also end up here.

Which one should you pick?

If you pay for Datadog today and most of your usage is APM and logs, Grafana Cloud is the realistic alternative, and the savings grow with log volume. If most of your Datadog or Grafana usage is synthetic checks and on-call, you're paying observability prices for a job Hyperping does for a flat fee.

How to test Datadog, Grafana Cloud, and Hyperping

Datadog has a 14-day trial of the full platform. Grafana Cloud's free tier has no time limit and no card. Hyperping's free plan has 20 monitors, and every paid plan has a 14-day trial.

1. Send the same telemetry to both. Point an OpenTelemetry Collector or Grafana Alloy at both trials so dashboards, queries, and bills come from identical data.
2. Follow one slow request. Trigger a slow endpoint and time how long it takes to go from the alert to the trace to the log line on each platform.
3. Forecast the bill. After a week, read each usage page and project a full month, including custom metrics, indexed logs, and host counts at peak.
4. Break a public endpoint. Take down something customers use and check which tool alerts first, from where, and whether it confirms the failure before paging.
5. Page the on-call and update customers. Let the page escalate, acknowledge it, publish a status page update, and count how many tools that took.
6. Price the next 12 months. Add the hosts, log volume, seats, and on-call people you expect in a year, and compare list prices before any discount.

Related reading

• Best Datadog alternatives: more options if the Datadog bill is the problem
• Better Stack vs Datadog vs Hyperping: Datadog against an uptime-first stack
• Best synthetic monitoring tools: Datadog, Grafana Cloud, Checkly, and others for browser checks
• Grafana OnCall alternatives: after the open-source project was archived
• Server monitoring cost calculator: per-host pricing at your fleet size

If you want uptime checks from outside your infrastructure, on-call, and a status page on one flat plan next to Datadog or Grafana, try Hyperping free or book a demo.