Independent comparison. Not affiliated with Datadog, Inc. Prices as of March 2026.
Datadog Alternatives
Updated 30 March 2026
Infrastructure monitoring starts cheap at $15/host. But APM, logs, and custom metrics stack up fast. A typical 50-server SaaS company can hit $5,000 to $15,000/month on Datadog. Here are 8 alternatives from free open source to enterprise SaaS, organized by budget.
Datadog (50 servers)
$5-15K
/month with full stack
Grafana Cloud
$400-800
/month same scale
Self-Hosted OSS
$200-500
/month (hosting only)
The Datadog Cost Trap
Four specific pricing mechanisms that cause bill shock. Understanding these helps you evaluate alternatives.
Custom metrics pricing: $5 per 100 metrics
Microservices architectures easily generate thousands of custom metrics. A 20-service application might emit 2,000 custom metrics. After the 100 included with infrastructure, that is 1,900 billable metrics at $5/100 = $95/month for just metrics. With 50 services, this can reach $500+/month.
Log management: $0.10/GB ingest + $1.70/million events + $2.50/GB/month retention
A typical 50-server environment generates 100-500 GB of logs per month. At 200 GB: ingest cost is $20, event cost depends on log verbosity (roughly $170 for 100M events), retention is $500 for 200 GB. Total: approximately $690/month for logs alone. Add 15-day retention and costs multiply further.
APM per-host pricing on auto-scaling infrastructure
APM costs $31/host/month. On Kubernetes, a pod scaling event creates a new host. If your application auto-scales from 10 to 50 pods during peak traffic, you are billed for 50 APM hosts that month, not 10. Datadog does offer container-based pricing, but it requires careful configuration to avoid bill surprises.
RUM pricing that scales with traffic
Real User Monitoring costs $1.50 per 1,000 sessions. For a website with 500K monthly visitors, that is $750/month for RUM alone. A viral moment that drives 2M sessions in a month means a $3,000 RUM bill. There is no cap or circuit breaker on RUM costs.
8 Alternatives by Category
From free open-source to enterprise SaaS, ranked by value within each category.
Free / Open Source
Grafana + Prometheus + Loki
Free (self-hosted)The most popular open-source observability stack. Prometheus handles metrics with PromQL, Grafana provides dashboards, Loki handles logs, and Tempo handles distributed traces. Requires self-hosting on your own infrastructure. Total cost: server hosting only ($200-$2,000/month depending on scale).
Trade-off: 10-20 hours/month DevOps maintenance
ELK Stack (Elasticsearch, Logstash, Kibana)
Free (self-hosted)Elasticsearch for search and analytics, Logstash for log processing, and Kibana for visualization. Best for log-heavy environments. Elastic also offers a managed cloud service starting at $95/month. Self-hosted ELK requires significant resources for Elasticsearch (memory-hungry).
Trade-off: High memory and storage requirements
Managed SaaS (Better Pricing)
New Relic
100 GB free, then $0.30/GBUsage-based pricing with no per-host fees. 100 GB/month of data ingest is free forever (covers a small team). Beyond that, all telemetry data (metrics, logs, traces) costs $0.30/GB. Full-platform access included: APM, infrastructure, logs, browser, mobile, synthetics. For most teams, New Relic is 50-80% cheaper than Datadog.
Trade-off: Query performance can be slower than Datadog at high data volumes
Grafana Cloud
Free tier, Pro $8/month+Managed Grafana, Prometheus, Loki, and Tempo. Free tier includes 10K active metrics series, 50 GB logs, and 50 GB traces per month. Pro plan at $8/month unlocks 8-day retention and alerting. Usage-based pricing beyond the included allowances. No per-host pricing. Most teams pay 60-80% less than Datadog.
Trade-off: Grafana query language differs from Datadog DQL
Chronosphere
Custom (contact sales)Built specifically for cost-predictable observability. Uses OpenMetrics and Prometheus compatibility. Designed to control costs by allowing teams to set budgets and automatically downsample or drop low-value telemetry. Best for large environments (100+ services) where Datadog costs are spiraling.
Trade-off: Enterprise sales process, no self-serve pricing
Enterprise SaaS
Dynatrace
$11/host/month (full stack)AI-powered observability with automatic discovery and instrumentation. OneAgent deploys across your stack and automatically maps dependencies. Davis AI identifies root causes without manual configuration. Full stack monitoring (infrastructure, APM, logs, RUM, synthetics) included in the host-based price. Best for enterprises wanting minimal setup effort.
Trade-off: Less flexibility than Datadog for custom dashboards
Splunk Observability
$15/host/monthStrong log analytics (Splunk's core competency) combined with APM and infrastructure monitoring. SignalFx (now Splunk Observability) handles metrics and traces while Splunk handles logs. Best for organizations already using Splunk for log analysis or security.
Trade-off: Two platforms (Splunk + SignalFx) can feel fragmented
AppDynamics (Cisco)
$33-$60/host/monthApplication-centric monitoring with deep code-level visibility. Strong in Java and .NET environments. Business iQ correlates application performance with business metrics (revenue, conversions). Best for enterprises with complex Java applications where business impact analysis matters.
Trade-off: Expensive, complex to configure, Cisco acquisition has slowed innovation
Cost at 3 Scales
Small (10 servers)
Startup or small team, basic monitoring
Medium (50 servers, APM + logs)
Growing SaaS with full observability needs
Large (200 servers, full stack)
Enterprise with comprehensive observability
Observability Cost Calculator
Enter your infrastructure details to see estimated monthly costs across platforms.
$1,652
/month estimated
Biggest cost driver: Infrastructure ($750)
$27
/month estimated
100 GB/month free, then $0.30/GB
Est. data ingest: 190 GB/month
Saves $1,625/mo vs Datadog
$218
/month estimated
Includes metrics, logs, and traces
Saves $1,434/mo vs Datadog
$805
/month estimated
AI-powered, all-in-one platform
Saves $847/mo vs Datadog
$300
/month hosting only
Prometheus + Grafana + Loki + Tempo
+ 10-20 hours/month DevOps time
Estimates based on published list pricing as of March 2026. Actual costs vary by contract, commitment length, and usage patterns. New Relic and Grafana Cloud pricing depends on data ingest volume. Datadog pricing is per-host plus usage-based components.
The Open-Source Stack
Prometheus
Metrics collection and alerting
Pull-based metrics collection. PromQL query language. Built-in alerting rules. Service discovery for Kubernetes and cloud providers. The industry standard for infrastructure and application metrics.
Grafana
Dashboards and visualization
The most popular open-source visualization tool. Supports Prometheus, Loki, Tempo, and 100+ data sources. Template dashboards available for every common service. Alerting built-in with notification channels.
Loki
Log aggregation
Log aggregation system designed to be cost-effective. Labels-based indexing (like Prometheus for logs) rather than full-text indexing (like Elasticsearch). 10-100x cheaper storage than ELK at scale.
Tempo
Distributed tracing
Distributed tracing backend compatible with OpenTelemetry, Jaeger, and Zipkin. Object-storage-backed for cost efficiency. Integrates with Grafana for trace visualization and correlating traces with metrics and logs.
The Real Cost of Self-Hosting
The software is free, but the maintenance is not. Expect to spend 10-20 hours per month on: upgrading components, tuning Prometheus retention and scrape intervals, managing Loki storage, handling capacity planning as data volume grows, and debugging issues when dashboards break after upgrades. At $100+/hour for a senior SRE, that is $1,000-$2,000/month in labor. For teams without a dedicated SRE, managed services (Grafana Cloud, New Relic) are often more cost-effective when you factor in engineering time.
Migration Considerations
Custom dashboards
Datadog dashboards must be rebuilt in the new platform. Grafana has a Datadog dashboard converter that handles basic dashboards. Complex dashboards with custom queries need manual recreation. Budget 1-2 days for a team with 20-50 dashboards.
Alert configurations
Monitors and alert conditions do not transfer between platforms. Document all critical alerts before migration. Most teams have 50-200 alert rules that need manual recreation. This is the most time-consuming part of migration.
Metric naming conventions
Datadog uses dot-separated metric names (system.cpu.idle). Prometheus uses underscore-separated names (system_cpu_idle). If you use OpenTelemetry, metric names are portable across platforms. Without OTel, you may need to update dashboards and alerts for the new naming convention.
Team familiarity
Engineers comfortable with Datadog's query language and interface need training on the new platform. Plan 1-2 weeks of reduced productivity during the learning curve. New Relic's NRQL is similar to DQL. Prometheus's PromQL has a steeper learning curve coming from Datadog.
Datadog-specific integrations
Datadog has 700+ vendor integrations. If you rely on specific integrations (AWS, Kubernetes, databases), verify that the alternative supports them at the same depth. Most major integrations are available across platforms, but niche integrations may not be.