Grafana Cloud's free tier, or a self-hosted Grafana stack, is the cheaper place for a startup to begin; Datadog is the faster one. Datadog bills per host, per APM host and per gigabyte of logs, so the bill climbs with every server. Grafana bills by metric series and log volume: usually cheaper, but it asks for more engineering time.
Datadog and Grafana answer the same question (is the product up, and why is it slow?) from opposite ends. Datadog is one commercial platform: install its agent, and infrastructure metrics, APM traces, logs, dashboards and alerts arrive in one place, with a long catalogue of integrations already built. Grafana started as an open-source dashboard and grew into a stack often called LGTM: Loki for logs, Grafana for dashboards, Tempo for traces and Mimir for metrics. You can run that stack yourself or buy it hosted as Grafana Cloud.
For a startup the choice is less about features than about two scarce things: engineering hours and cash. This guide prices both sides with the published numbers, as listed on each vendor's pricing page in October 2026. Check them again before you sign anything; observability pricing changes often.
What does Datadog cost a startup as it grows?
Datadog prices each product separately, and most teams end up paying for three of them. The list prices on Datadog's pricing page:
Infrastructure monitoring: free for up to 5 hosts with 1-day metric retention; Pro is $15 per host per month billed annually ($18 on demand); Enterprise is $23 ($27 on demand).
APM (traces): $31 per host per month billed annually when infrastructure monitoring is attached, $36 on demand.
Logs: $0.10 per GB ingested, plus $1.70 per million log events indexed with 15-day retention (billed annually).
A "host" is any server or VM running the agent. Datadog counts hosts every hour and bills on a high-water mark that ignores only the busiest 1 percent of hours, so autoscaling spikes show up on the invoice. Containers, custom metrics beyond the plan's allotment, synthetic tests, real user monitoring and the security products each carry their own meter.
The arithmetic is simple at small scale. Ten hosts on Pro infrastructure plus APM come to $460 a month at annual list prices, before logs. At fifty hosts the same two lines are $2,300 a month. Logs are where bills surprise people: one chatty service writing debug lines in production can index hundreds of millions of events a month. Datadog separates ingesting a log from indexing it, so you can ingest everything and index only what you actually search.
What the money buys is time. With the agent and integrations, a two-person team can usually have dashboards, traces and alerting running the same day, and nobody has to operate the monitoring system itself. That product focus is the story behind how Datadog built its observability business.
What does Grafana cost: open source or Grafana Cloud?
Grafana has two price tags, and they measure different things.
Self-hosted, open source. Grafana, Loki, Tempo and Mimir are free to download under the AGPLv3 license. The software costs nothing; the servers, the storage and the engineer who keeps Prometheus, Loki and the rest upgraded, backed up and scaled do. A small stack fits on one VM with object storage behind it. As data grows, running Mimir or Loki at scale becomes real infrastructure work, and that hidden cost is the one founders forget to price.
Grafana Cloud. The hosted version meters usage rather than hosts. From Grafana's pricing page:
Free: 10,000 active metric series, 50 GB of logs and 50 GB of traces a month, 14-day retention, 3 active users.
Pro: a $19 monthly platform fee that includes the same volumes with longer retention (13 months for metrics, 30 days for logs and traces). Beyond that, metrics start at $6.50 per 1,000 series, and logs and traces are billed per GB processed, written and retained ($0.05, $0.40 and $0.10).
Enterprise: starts at a $25,000 annual commitment.
Because Grafana Cloud charges by series and gigabytes, not hosts, adding servers that emit few metrics costs little. The meter to watch is cardinality: a metric labelled with a user ID or request ID multiplies into thousands of series, and series are what you pay for.
Datadog or Grafana: which fits your stage?
Decide with the team you have, not the one you plan to hire.
MVP, one or two engineers: Grafana Cloud's free tier covers most early workloads. Datadog's free tier stops at 5 hosts and keeps metrics for one day, which is enough to try the product but not to look back at last week's incident.
Paying customers, no dedicated ops person: this is where Datadog earns its price. If an outage can cost you a customer, paying per host for setup-free APM and log search is often cheaper than an engineer's week. Set log indexing filters on day one.
Dozens of hosts and a platform engineer on staff: Grafana Cloud Pro or a self-hosted stack usually wins on cost once host counts climb, and the engineer you hired can own it.
Regulated data or residency rules: self-hosted Grafana keeps telemetry inside your own cloud account, which can shorten a customer's security review.
Whichever you pick, the setup work is the same list: what to measure, which alerts wake someone up, and who is on call. The guide to setting up startup monitoring and alerts walks through it, and if a third vendor is on your shortlist, read the Datadog and New Relic comparison for startups.
How do you avoid lock-in either way?
Instrument with OpenTelemetry. It is the vendor-neutral CNCF standard for traces, metrics and logs, and both Datadog and Grafana accept OpenTelemetry data. If your services emit OpenTelemetry and ship it through a collector, moving from Datadog to Grafana Cloud, or back, is mostly a change of exporter configuration rather than a rewrite of every service. Teams that use a vendor's proprietary SDKs everywhere find that switching later means re-instrumenting code, which is why a second migration often costs more than the first year's bill.
Dashboards and alert rules are the other sticky part. Keep alert definitions in code (both vendors have Terraform providers) so they can be reviewed, versioned and rebuilt somewhere else.
AI features add a new kind of telemetry: token counts, model latency, cost per request and output quality. Both vendors now sell LLM observability; the guide to monitoring AI in production covers what to track before you decide where to send it.
A simple way to decide
Write down two numbers: your expected host count in twelve months, and the hours a month your team can give to running monitoring. Price Datadog at that host count with APM and your real log volume. Price Grafana Cloud at your metric series and log gigabytes. If the Datadog bill is smaller than the cost of those engineering hours, buy the time. If it isn't, run Grafana and give the work to someone who wants to own it.
More comparisons of startup infrastructure are in the technology section.
Frequently Asked Questions
Q:Is Grafana really free?
The open-source Grafana, Loki, Tempo and Mimir cost nothing to license, but you pay for the servers and storage they run on and for the time to operate them. Grafana Cloud's free tier costs nothing up to its monthly limits of 10,000 metric series, 50 GB of logs and 50 GB of traces.
Q:Is Prometheus the same thing as Grafana?
No. Prometheus is a CNCF project that collects and stores metrics and evaluates alert rules; Grafana is the layer that queries and visualizes them. Many startups run both together, and Mimir is Grafana Labs' long-term storage for Prometheus metrics.
Q:Why did my Datadog bill jump?
The usual causes are an autoscaling spike counted in the hourly host high-water mark, a service that suddenly logs far more than before, or custom metrics with high-cardinality tags. Datadog's usage page breaks the bill down by product, so check which meter moved before cutting anything.
Q:When should a startup switch from one to the other?
Switch when the gap is clear and lasting: Datadog spend that outgrows the cost of an engineer to run Grafana, or a self-hosted stack that keeps pulling engineers off the product. With OpenTelemetry instrumentation in place, the move is a project of weeks rather than a rewrite.