StackState

Name: StackState
Brand: StackState

StackState is an enterprise observability platform that builds and maintains a topology-based dependency model, correlates telemetry and change events against that topology for causal context, and supports incident triage and guided root-cause analysis with historical topology timelines.

Est 2015|Raised $20.8M

LinkedIn 4K|Website|FTEs 56|HQ Hilversum, North Holland, NL

MarketsInfrastructure Monitoring Observability Platform

01Competitive Landscape

Narrative analysis

StackState is positioned to provide topology mapping and causal relation insights that some organizations prioritize when root-cause analysis across hybrid infrastructure is important. Comparative analyses and peer commentary indicate Datadog emphasizes broad telemetry and rapid SaaS onboarding, while Dynatrace focuses on deep APM and automation at enterprise scale.
The SUSE acquisition of the technology resulted in a SUSE-branded Cloud Observability offering based on the acquired platform. This transition may affect packaging and procurement options; buyers should clarify current packaging and roadmaps during procurement.

- StackState is positioned to provide topology mapping and causal relation insights that some organizations prioritize when root-cause analysis across hybrid infrastructure is important. Comparative analyses and peer commentary indicate Datadog emphasizes broad telemetry and rapid SaaS onboarding, while Dynatrace focuses on deep APM and automation at enterprise scale. - The SUSE acquisition of the technology resulted in a SUSE-branded Cloud Observability offering based on the acquired platform. This transition may affect packaging and procurement options; buyers should clarify current packaging and roadmaps during procurement.

	StackState (StackState / SUSE Observability)	Datadog	Dynatrace
Starting Price	Per-node starting pricing in vendor materials; SUSE Cloud Observability offers host-based pricing via cloud marketplaces and varies by volume and packaging	Tiered, published per-product and per-feature pricing that varies by plan	Tiered pricing with infrastructure and full-stack options that varies by host/memory profile
Primary Use Case	Complex Kubernetes/hybrid environments that require topology and change correlation for RCA	Broad SaaS observability with extensive integrations and dashboards; teams seeking fast SaaS onboarding	Enterprise full-stack monitoring with deep APM, auto-discovery, and automation
Key Strength	Topology timeline, dependency mapping, and change-to-incident context; guided remediation capabilities	Large integration ecosystem, broad telemetry collection, and SaaS-first experience	Deep code-level APM, strong automation, and auto-discovery capabilities
Key Weakness	Implementation can require significant integration and modeling effort; value depends on data/model completeness	Costs can grow with scale and advanced modules; complexity can increase with extensive usage	Pricing and complexity can be significant for smaller teams; learning curve for full-stack features