OpenObserve has proven to be a reliable solution. The developers get comfortable with it really fast, and it helps us diagnose issues much more efficiently.
Dynatrace Alternative
OpenObserve VS Dynatrace
Escape complex DPU billing, proprietary lock-in, and heavyweight OneAgent overhead. Full-stack observability at a fraction of the cost.
Teams cut their Dynatrace bill 70%–90%.See your ingest-based pricing →Estimate based on typical OpenObserve customer savings versus DPU, host unit, and DEM unit billing.
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Why teams switch from Dynatrace
The many reasons that teams are making the switch
Full deployment flexibility
SaaS or on-premises, your choice. Dynatrace locks most customers into SaaS unless they sign an enterprise contract.
Predictable pricing
One simple ingest-based model, no surprises. Dynatrace's mix of DPUs, host units, and DEM units makes your bill nearly impossible to forecast.
No vendor lock-in
Open standards mean your data, queries, and dashboards are always portable. Dynatrace's DQL and OneAgent make switching painful and expensive.
No Proprietary Query Language
SQL and PromQL out of the box , no new syntax to learn. Dynatrace locks you into DQL, on their terms.
Bring your own storage
Store everything on infrastructure you own and control. With Dynatrace, your data lives on their storage, on their terms.
Reduce Overhead
The OTel Collector adds no bloat , lightweight, vendor-neutral, and fits any stack. Dynatrace's OneAgent adds significant CPU and memory overhead on every host it runs on.
Live demo
See how OpenObserve replaces Dynatrace
Get a personalized walkthrough and see how much you'd save moving off Dynatrace's DPU-based billing.
- 30-minute personalized walkthrough
- No credit card required
- See your real migration path from Dynatrace
Feature Comparison
Modern, full-stack observability
| Feature | Dynatrace | OpenObserve | Reference Links |
|---|---|---|---|
| Feature parity: logs, metrics, traces, dashboards, alerts, pipelines | ✓ | ✓ | LogsMetricsTracesDashboardsAlertsPipelines |
| Frontend Monitoring (RUM) | ✓ | ✓ | Real User Monitoring built-in |
| Query language | DQL proprietary | SQL / PromQL | Open standards, zero learning curve |
| Pricing model | DPUs + host units + DEM units | Ingest-based only | Predictable, scalable cost |
| OpenTelemetry native | Partial agent-first | ✓ Full | No OneAgent required |
| Self-hosted option | ✗ Enterprise contract | ✓ Single binary | Deploy in minutes (Free 50 GB/day Enterprise license) |
| Per-seat cost | High role-based pricing | $0 unlimited users | No seat taxes |
| Bring your own storage | ✗ | ✓ S3, GCS, Azure, MinIO | Full data sovereignty |
| Open source | ✗ | ✓ AGPL-3.0 | 20.4k GitHub star |
| Data format | Proprietary | Apache Parquet (open) | No format lock-in |
Migrating from Dyantrace
Switching is easier than you think
1
Replace OneAgent with the OTel Collector
Deploy the OpenTelemetry Collector alongside your existing OneAgent setup. Configure exporters to point to OpenObserve. Your application code stays completely untouched no re-instrumentation required. Run both systems in parallel while you validate data parity and build confidence.
2
Translate DQL queries to SQL and rebuild dashboards
Convert your Dynatrace DQL queries to standard SQL using our migration guides. DQL's FETCH, FILTER, and SUMMARIZE constructs map closely to SQL SELECT, WHERE, and GROUP BY. Rebuild critical dashboards in OpenObserve's modern UI. Our team can help accelerate this for complex environments.
3
Complete cutover and optimize costs
Gradually shift production workloads to OpenObserve, starting with non-critical services. Monitor performance, validate alerts, and decomission Dynatrace hosts progressively. Watch your observability bill drop often by 70–90% while retaining full visibility.
Frequently Asked Questions
Common questions about switching from Dynatrace to OpenObserve