InfraSage vs. Alternatives
InfraSage is a self-hosted AIOps platform. This page compares it to the most common incumbent tools your team may already be evaluating.
Summary
| InfraSage | Datadog | Dynatrace | New Relic | Splunk | |
|---|---|---|---|---|---|
| Deployment | Self-hosted (your VPC) | SaaS only | SaaS / managed | SaaS only | SaaS + on-prem |
| Data residency | ✅ Data never leaves your environment | ❌ US-hosted | ❌ US-hosted | ❌ US-hosted | ⚠️ On-prem option, complex |
| AI / RCA | ✅ Claude-powered, causal graph | ⚠️ Watchdog (heuristic) | ✅ Davis AI (proprietary) | ⚠️ Applied intelligence | ❌ Limited |
| Kubernetes-native | ✅ First-class | ⚠️ Agent-based | ✅ OneAgent | ⚠️ Agent-based | ⚠️ Agent-based |
| Pricing model | Flat / event-volume | Per-host + per-metric | Per-host (DPS) | Per GB ingest | Per GB ingest |
| Cost at scale | Predictable | Unbounded | Unbounded | Unbounded | High |
| GDPR / BaFin / RBI clean | ✅ By architecture | ❌ Requires BAA/DPA | ❌ Requires DPA | ❌ Requires DPA | ⚠️ On-prem only |
| HIPAA | ✅ PHI never leaves VPC | ⚠️ BAA available | ⚠️ BAA available | ⚠️ BAA available | ⚠️ On-prem only |
| Runbook automation | ✅ K8s + HTTP + Slack + shell | ⚠️ Workflows (limited) | ✅ Automation engine | ⚠️ Limited | ❌ |
| Open telemetry | ✅ Native OTLP | ✅ | ✅ | ✅ | ⚠️ |
InfraSage vs. Datadog
Datadog is the most common tool teams migrate away from. The two main reasons are cost and data residency.
Cost
Datadog charges per host, per custom metric, and per GB of log ingestion. At 50+ services or high log volume, bills reach $200K–$1M+/year for mid-size engineering organizations. InfraSage uses event-volume pricing with a flat structure — costs are predictable and scale linearly.
Typical comparison at 50 services, 5M events/day:
| Datadog | InfraSage (Pro) | |
|---|---|---|
| Infrastructure monitoring | ~$3,000/mo | — |
| APM | ~$4,500/mo | — |
| Log management (100GB/day) | ~$8,000/mo | — |
| Total | ~$15,500/mo | ~$499/mo |
Datadog estimates based on public list pricing. InfraSage pricing at infrasage.io/pricing.
Data Residency
Datadog is a US SaaS product. All telemetry — including infrastructure metrics, traces, and logs — transits to and is stored on Datadog's US servers. This is incompatible with:
- GDPR Article 44 (cross-border data transfers)
- BaFin BAIT / DORA (German/EU financial services data residency)
- RBI data localization (India)
- HIPAA (PHI in log lines)
InfraSage runs inside your own VPC. No telemetry data leaves your infrastructure perimeter.
AI / RCA
Datadog's Watchdog uses heuristic anomaly detection (anomaly monitors, outlier detection) without a causal graph. InfraSage's RCA engine builds a causal graph across services, scores blast radius, and generates a structured root-cause explanation using Claude — reducing mean-time-to-diagnosis from hours to ~20 seconds.
InfraSage vs. Dynatrace
Dynatrace is the closest feature-comparable product. The key differences are deployment model and pricing structure.
Deployment
Dynatrace is SaaS-first. Its "Managed" (on-prem) option exists but requires Dynatrace-managed infrastructure and a separate licensing agreement. It does not give you full control over data egress.
InfraSage deploys via a single Helm chart into your existing Kubernetes cluster. You own the storage, the network perimeter, and the data.
Davis AI vs. InfraSage RCA
Dynatrace's Davis AI is a proprietary deterministic engine trained on Dynatrace's own telemetry corpus. It performs well on Dynatrace-native signals but is a black box. InfraSage's RCA uses Claude (Anthropic) with a structured causal discovery pipeline — the reasoning is transparent and the prompt context is fully auditable.
Pricing
Dynatrace uses a DPS (Davis Performance Score) model that charges per entity monitored. At large Kubernetes deployments with ephemeral pods, costs spike unpredictably. InfraSage pricing is tied to event volume, not entity count.
InfraSage vs. New Relic
New Relic moved to a consumption-based model (per GB ingest). For high-cardinality telemetry environments (payment systems, API gateways), ingest costs grow fast.
Key differences:
- Self-hosted: New Relic has no self-hosted option. InfraSage is self-hosted only.
- ML Engine: New Relic's Applied Intelligence provides anomaly detection but no causal graph or automated runbook execution. InfraSage includes XGBoost-based forecasting, degradation trend analysis, and runbook automation.
- Kubernetes depth: New Relic's K8s integration is agent-based. InfraSage's Kubernetes integration is first-class — it reads pod events, deployment history, and resource states directly into the RCA evidence graph.
InfraSage vs. Splunk
Splunk's primary use case is log aggregation and SIEM. Its infrastructure monitoring capabilities are limited compared to full AIOps platforms.
| Splunk | InfraSage | |
|---|---|---|
| Primary use case | Log search / SIEM | AIOps + anomaly detection + RCA |
| Self-hosted | ✅ (complex, expensive) | ✅ (single Helm chart) |
| ML / AI | Splunk IT Service Intelligence (ITSI) — separate license | Included |
| Kubernetes | Limited | First-class |
| Runbook automation | ❌ | ✅ |
If your primary driver is self-hosted SIEM, Splunk is more appropriate. If it's infrastructure intelligence and incident response, InfraSage covers the use case with lower operational overhead.
When InfraSage Is the Right Choice
InfraSage fits best when two or more of the following are true:
- Your workloads run on Kubernetes
- You have data residency requirements (GDPR, BaFin, RBI, HIPAA)
- Your current observability bill is above $5K/month
- You need AI-powered RCA, not just dashboards
- You want automated runbook execution tied to anomaly events
- You operate in a multi-tenant environment (you run infra for multiple internal teams or external customers)
When InfraSage Is Not the Right Choice
- You need a hosted SaaS with zero operational overhead and no compliance constraints
- Your primary use case is SIEM / security log analysis (use Splunk or Elastic Security)
- You need full distributed tracing with sampling controls as the core use case (consider Jaeger or Tempo)
- Your team has no Kubernetes operational experience
Questions? Contact us or book a demo.