Datadog Pricing Calculator: How Much Does Datadog Really Cost?

Why Datadog Pricing Is So Confusing

Datadog is the most popular observability platform in the world — and also the most expensive for many teams. The reason? Modular pricing across 20+ individual SKUs that interact in complex ways.

Unlike vendors with simple per-GB or per-seat pricing, Datadog charges differently for each product: per-host for infrastructure, per-GB for logs, per-million for spans, per-series for custom metrics, per-session for RUM, and per-test for Synthetics. Each product has its own pricing tiers and overages.

The result: your actual bill can be 2-5x higher than what you estimated during the trial.

Datadog Pricing Breakdown (2026)

Here's the current list pricing for Datadog's core products on annual commitment (see Datadog's official pricing page for the latest rates):

Product	Unit	Pro Price	Enterprise Price
Infrastructure	Per host/mo	$23	$33
APM	Per host/mo	$40	$40
Log Management (ingest)	Per GB	$0.10	$0.10
Log Management (index, 15-day)	Per million events	$1.70	$1.70
Custom Metrics	Per 100 series/mo	$5.00	$5.00
RUM	Per 10K sessions	$0.15	$0.15
Synthetic Monitoring (API)	Per 10K tests	$12.00	$12.00
Synthetic Monitoring (Browser)	Per 1K tests	$22.00	$22.00
Database Monitoring	Per host/mo	$70	$70
CI Visibility	Per committer/mo	$13	$23

Monthly pricing is approximately 25% higher than annual commitment pricing.

Real-World Cost Examples

Startup (10 hosts, 5 engineers)

Product	Usage	Monthly Cost
Infrastructure (Pro)	10 hosts × $23	$230
APM	10 hosts × $40	$400
Log Management	5 GB/day × 30 × $0.10 ingest	$15
Log Indexing	~150 GB × $1.70/M events	$255
Custom Metrics	5K series × $5/100	$250
Total	~$1,150/mo ($13,800/yr)

Mid-Size SaaS (50 hosts, 30 engineers)

Product	Usage	Monthly Cost
Infrastructure (Pro)	50 hosts × $23	$1,150
APM	50 hosts × $40	$2,000
Log Management	50 GB/day × 30 × $0.10	$150
Log Indexing	20% indexed × $1.70/M	$2,550
Custom Metrics	50K series × $5/100	$2,500
RUM	100K sessions × $0.015	$1,500
Total	~$9,850/mo ($118,200/yr)

Enterprise (200 hosts, 150 engineers)

Product	Usage	Monthly Cost
Infrastructure (Enterprise)	200 hosts × $33	$6,600
APM	200 hosts × $40	$8,000
Log Management	300 GB/day × 30 × $0.10	$900
Log Indexing	20% indexed × $1.70/M	$15,300
Custom Metrics	500K series × $5/100	$25,000
RUM	500K sessions × $0.015	$7,500
Synthetics	50 API tests × $12	$600
Database Monitoring	20 hosts × $70	$1,400
Total	~$65,300/mo ($783,600/yr)

The Hidden Costs Nobody Warns You About

1. Custom Metrics Explosion

Datadog charges $5 per 100 custom metric series. This sounds cheap until you realize that a single metric with 5 label dimensions and 10 values each creates 10^5 = 100,000 time series. One poorly labeled metric can add $5,000/month to your bill.

Teams develop "cardinality anxiety" — they stop adding useful labels to metrics because they're afraid of the cost. Your monitoring becomes less useful over time.

2. Log Indexing vs Ingestion

Datadog separates log ingestion ($0.10/GB) from indexing ($1.70 per million events). Ingestion is cheap; indexing is where the money goes. Most teams need to index at least 20% of their logs for search and alerting, which adds up fast.

3. Committed Spend Traps

Datadog offers 30-40% discounts for 1-3 year commitments. The discount is real, but the contract locks in a minimum spend that assumes your infrastructure only grows. If you need to scale down or migrate, you're paying for capacity you don't use.

4. Add-On SKU Creep

It starts with Infrastructure + APM. Then someone adds RUM for frontend monitoring. Then Synthetics for uptime checks. Then Database Monitoring. Then Security Monitoring. Each SKU has its own pricing model and each one increases your bill by 10-30%.

How to Optimize Your Datadog Bill

1. Audit custom metrics cardinality — Find and fix high-cardinality labels. One cleanup can save thousands per month.
2. Use log pipelines aggressively — Filter out health checks, debug logs, and repetitive entries before they hit indexing.
3. Set index retention policies — Not every log needs 15-day hot retention. Use exclusion filters and archive to S3.
4. Review APM sampling — You don't need 100% trace sampling. Datadog's head-based sampling can reduce APM costs dramatically.
5. Negotiate at renewal — Come armed with competitor quotes. Datadog's pricing is negotiable, especially at scale.

Sources & further reading

• Datadog pricing — official published SKU rates and tiers
• Gartner: Observability — industry definition and market context

Compare Your Datadog Cost

Use our free cost calculator to see how your Datadog spend compares to Grafana Cloud, New Relic, SigNoz, and other vendors. Input your actual usage and get an instant side-by-side comparison.