Datadog Cost Estimator
Estimate your Datadog monthly bill across hosts, APM, custom metrics, logs, synthetics, and RUM. Built from public list prices — useful as a sanity check before procurement conversations.
Servers, VMs, Kubernetes nodes monitored
Hosts running APM tracing
100 free per infra host (5,000 included)
Total log volume sent to Datadog
Events kept for 15-day retention
2 = 20,000 API test runs per month
100 = 100,000 real-user-monitoring sessions
Estimated monthly cost
$1,883
Annual
$22,596
Cost breakdown
| Line item | Detail | Monthly |
|---|---|---|
| Infrastructure hosts | 50 hosts × $15.00/mo | $750.00 |
| APM hosts | 20 hosts × $31.00/mo | $620.00 |
| Custom metrics | 5,000 billable (5,000 included with hosts) × $5.00 per 100 | $250.00 |
| Logs ingest | 500 GB × $0.10/GB | $50.00 |
| Logs indexed (15-day retention) | 50M events × $1.06/M | $53.00 |
| Synthetic API tests | 20,000 runs × $5.00 per 10k | $10.00 |
| RUM sessions | 100,000 sessions × $1.50 per 1k | $150.00 |
| Total | $1,883.00 | |
Estimate only. These figures use Datadog's public list pricing (annual commit) and do not reflect enterprise discounts, committed-volume tiers, or product bundle pricing. Actual invoices vary, often significantly. For a binding quote, contact Datadog sales.
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How Datadog pricing actually works
Datadog publishes per-product list prices (per host, per million events, per gigabyte) but the bill is the sum across all products you use plus volume multipliers. The most common surprises on a Datadog invoice are:
- Custom metric cardinality — every unique combination of label values counts as a separate billable metric. A single counter with three high-cardinality labels can become hundreds of thousands of metrics overnight.
- Indexed logs — ingestion is cheap, but indexing logs for retention is the expensive part. Most teams index far more than they query.
- APM span volume — beyond the included spans-per-host budget, additional ingest is metered separately.
- Per-host double counting — if you run both Infra and APM on the same host, you pay for both line items.
When to renegotiate
Datadog\'s annual contracts have meaningful volume tiers, but the pricing visible in the platform is the per-unit rate, not your effective rate. If you are paying close to list price on a six-figure annual contract, you almost certainly have room to renegotiate — especially around log retention and custom metric tiers. Renewal time is the lever; mid-contract changes are harder.
Reducing observability spend without going blind
Reducing cost should not mean reducing what you can see during an incident. The trick is to push the noise out of the indexing layer and keep it in cheaper tiers (raw log archives, sampled traces) while keeping the high-signal telemetry instantly queryable.
Uptimes.ai takes a complementary approach: instead of paying to index every log just in case, our AI SRE agent investigates incidents on demand using eBPF, Kubernetes state, recent code changes from GitLab, and whatever observability you do have — producing a root cause report in under three minutes. That makes it safe to be more selective about what you keep hot.