Sentry
Application error tracking and performance monitoring.
Alternatives · 2026
Alternatives to Dynatrace
AI-driven observability for cloud-native applications.
6 hand-curated alternatives from MintedSaaS's directory. See the Dynatrace listing →
Dynatrace is an AI-powered observability platform designed for cloud-native applications. It combines application performance monitoring, infrastructure monitoring, and log analytics into a single UI, with machine learning that automatically detects anomalies and correlates signals across your stack. The platform targets enterprises running microservices, Kubernetes, and multi-cloud deployments where visibility across thousands of services becomes a baseline operational requirement. Dynatrace handles the complexity by ingesting and parsing high-cardinality data at scale—it doesn't sample your transactions, which means every request is tracked.
Buyers typically choose Dynatrace when they've outgrown basic APM tools and need to troubleshoot issues across distributed, dynamic infrastructure. Teams use it to drill from a user-facing latency spike down to the exact service call or database query responsible, then correlate that finding with container lifecycle events or cloud provider metrics. It's an all-in-one replacement for piecing together separate monitoring tools, though the per-GB ingestion pricing and setup overhead mean it fits larger organizations better than startups looking to minimize tooling costs.
What we offer that competes
Prometheus
Open-source monitoring system with a powerful query language.
Splunk
Enterprise platform for searching and analyzing log data.
Grafana
Open-source dashboards for metrics, logs, and traces.
Datadog
Observability platform for cloud-scale infrastructure.
New Relic
Full-stack observability platform for engineering teams.
What to look for
- Whether the product captures all transactions or samples them, and whether sampling can be disabled for critical services.
- Whether metrics, logs, and traces are queryable in a unified interface or require switching between separate dashboards.
- Whether the platform charges per GB ingested, per host, or uses a flat-rate tier, and what the minimum monthly cost is.
- Whether the product is open-source and self-hostable, SaaS-only, or offers both deployment options.
- Whether alerting rules can be created and modified without a sales engineer or support escalation.
- Whether the platform integrates with your container orchestrator (ECS, Kubernetes) and cloud provider (AWS, Azure, GCP) APIs natively.
FAQ
What are the best free alternatives to Dynatrace?
Prometheus and Grafana are both open-source and free to run. Prometheus handles metrics collection and alerting, Grafana provides the UI and dashboarding. They'll require you to manage infrastructure yourself, but cost nothing beyond hosting. Sentry is free for error tracking and performance monitoring on smaller teams, though without the same infrastructure depth as Dynatrace.
Are there cloud-hosted alternatives to Dynatrace that don't require setup?
New Relic, Datadog, and Splunk are all fully managed SaaS platforms like Dynatrace, with no infrastructure to maintain. They differ in depth (Datadog emphasizes infrastructure and containers, New Relic focuses on application metrics, Splunk is log-heavy) and in how they bill—typically per GB ingested or per host monitored.
Which observability platform is best for Kubernetes monitoring?
Dynatrace, Datadog, and New Relic all excel at Kubernetes because they ingest pod-level metrics, container logs, and service traces together. Prometheus is also excellent for Kubernetes-native teams who prefer open-source tooling and don't need log aggregation in the same pane.
Do I need sampling for observability at high transaction volumes?
Dynatrace does not sample—it captures all transactions, which is one reason enterprises choose it. Datadog and New Relic both support sampling to reduce costs at scale. Open-source tools like Prometheus collect pre-aggregated metrics by design, so the question of sampling doesn't apply.
What's the difference between APM and observability?
APM focuses on application performance metrics and traces—request latency, error rates, throughput. Observability includes APM plus infrastructure metrics, logs, and custom events, giving you the full context to debug unexpected behavior. Dynatrace is an observability platform; Sentry is primarily APM with observability features.
Can I use multiple monitoring tools together, or should I pick one?
Most teams start with multiple tools but consolidate over time because context-switching is expensive. Dynatrace, Datadog, New Relic, and Splunk are all designed to be single panes of glass. Prometheus and Grafana are often paired with other tools because they're narrower in scope—metrics and dashboards only.
How much does observability typically cost?
Dynatrace, Datadog, and Splunk charge per GB of data ingested, ranging $100–$500/month for small teams to thousands monthly for large ones. New Relic charges per host or per ingestion unit. Prometheus and Grafana are free if self-hosted, but require your ops team to manage servers and upgrades.
What retention and data export policies should I check?
Verify how long each platform retains metrics and logs by default (Datadog defaults to 15 months for metrics), whether you can export raw data, and whether queries are possible on archived data. Self-hosted tools like Prometheus let you set retention locally; managed services impose their own policies.