Compare Dynatrace vs OpenObserve Pricing
Dynatrace bills every meter separately — memory-GiB-hours, pod-hours, GiB-days of retention, per-session, even idle workflow-hours. Adjust the inputs below to rebuild your DPS bill, then see the flat-rate alternative.
Dynatrace
Your Dynatrace DPS bill
Every consumption meter, priced by the 2026 DPS rate card. Edit any value or drag a slider.
Compute / Host Observability
Full-Stack hosts
hosts
Avg RAM per host
GiB
Infrastructure-only hosts
hosts
Kubernetes pods (non-FSM hosts)
pods
Log Analytics (Grail)
Log ingestion volume
TB / mo
Traces & Metrics
Trace volume
TB / mo
Custom metric datapoints (on top of host metrics)
/ mo
Real User Monitoring (RUM)
RUM base sessions
/ mo
Automation & Queries
Active / idle workflows
workflows
Data scanned via queries
TB / mo
OpenObserve
What you'd pay OpenObserve
One flat rate on the data you ingest — no per-host, per-pod or per-session meters. You pay for the volume your hosts actually emit.
Logs
5TB
Traces
2.5TB
Metrics
85.1GB
RUM
15.4GB
Query scan
1TB
You save
81% lower than Dynatrace$190,055.76/yr
Cost breakdown by meter group
The same workload, side by side: Dynatrace stacks a per-host meter on top of every signal; OpenObserve bills one rate on the data itself.
Why the flat rate wins
One rate, every signal
Logs, traces, metrics and RUM all ingest at the same $0.50/GB. No memory-GiB-hour meter, no per-pod-hour, no per-session tax.
Retention isn't a separate meter
Dynatrace Grail charges $0.02 per GiB-day just to keep logs — 30 days of 5 TB alone is thousands of dollars. OpenObserve retention is included in the ingest rate.
Open source & self-hostable
Native OpenTelemetry and Prometheus support. Run OpenObserve on your own infrastructure or use OpenObserve Cloud — your data, your call.
FinOps cost traps in the DPS model
Small changes to your environment move the Dynatrace bill non-linearly. The flat-rate model doesn't have these edges.
Host RAM is a multiplier, not a line item
Full-Stack Monitoring meters at $0.01 per memory-GiB-hour. Doubling average host RAM from 16 to 32 GiB doubles the single largest meter on the bill — and RAM is rounded up to the nearest 0.25 GiB with a hard 4 GiB floor per host, so tiny hosts still bill for 4 GiB.
Idle workflows bill around the clock
Automation workflows meter at $0.03 per workflow-hour from creation — whether or not they ever execute. Ten idle workflows quietly add $219/mo; a hundred adds $2,190/mo for automations that may run once a week.
Log retention is billed by the GiB-day
Logs sit outside the Full-Stack allowance entirely — they're billed at $0.20/GiB ingest plus $0.02/GiB-day retention (Dynatrace caps 'retain with included queries' at 10–35 days). Log retention alone on 5 TB for 30 days is $3,000/mo, and it scales linearly with both volume and window.
The host allowance hides the real cost
Full-Stack Monitoring bundles a generous metrics + traces allowance (≈2.6M datapoints and ≈9 GB of traces per GiB of host memory per month), so those lines can read $0. But you pay for that bundle through the $0.01/memory-GiB-hour host meter — which is the single largest line on the bill. The 'free' metrics aren't free; they're prepaid per host.
Query scan meters differ by 3×
Dynatrace Grail ad-hoc queries bill at $0.0035 per GiB scanned; OpenObserve Cloud query scan is $0.01 per GiB. On the query meter alone Grail is cheaper per GiB — but it sits on top of ingest, retention and the per-host meter, so total spend still lands far higher. Watch this line if your teams run heavy exploratory queries.
Cut your observability spend.
Here's how
Move off Dynatrace's DPU billing to a single flat rate with comparable full-stack coverage — logs, traces, metrics and RUM.