Leading digital analytics platform for product insights and customer journey analytics
Key facts
Pricing
Freemium
Use cases
Engineering teams mapping service dependencies to identify potential system failures before deploying new code changes (verified: 2026-01-29), New developers querying the knowledge graph to identify service owners and system dependencies during the onboarding process (verified: 2026-01-29), Technical leads searching across GitHub, Jira, Slack, and PagerDuty from a single interface to find cross-stack information (verified: 2026-01-29)
Strengths
The platform integrates with a wide range of tools including GitHub, GitLab, Jira, Vercel, Kubernetes, Argo, and Grafana (verified: 2026-01-29), Users can connect their own AI models to interact with the ontology for custom analysis and automated queries (verified: 2026-01-29), The system automatically builds a live ontology that maps relationships between code, infrastructure, and team communication channels (verified: 2026-01-29)
Limitations
The Liftoff plan restricts usage to a single environment and a maximum of 500 entities within the ontology (verified: 2026-01-29), Access to on-premises deployment options and unlimited environments is restricted to the custom Enterprise tier (verified: 2026-01-29)
Last verified
Jan 29, 2026
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Strengths
- The platform integrates with a wide range of tools including GitHub, GitLab, Jira, Vercel, Kubernetes, Argo, and Grafana (verified: 2026-01-29)
- Users can connect their own AI models to interact with the ontology for custom analysis and automated queries (verified: 2026-01-29)
- The system automatically builds a live ontology that maps relationships between code, infrastructure, and team communication channels (verified: 2026-01-29)
Limitations
- The Liftoff plan restricts usage to a single environment and a maximum of 500 entities within the ontology (verified: 2026-01-29)
- Access to on-premises deployment options and unlimited environments is restricted to the custom Enterprise tier (verified: 2026-01-29)
FAQ
How does Devgraph help engineering teams understand the relationships between different parts of their technical stack?
Devgraph uses an ontology engine to map relationships between code, infrastructure, and teams. By connecting tools like GitHub, Kubernetes, and Jira, it creates a live knowledge graph that allows AI and human users to see how different services depend on one another in real-time (verified: 2026-01-29).
What specific integrations are available for building a custom ontology within the Devgraph platform?
Devgraph supports dozens of integrations including GitHub, GitLab, Jira, Vercel, Kubernetes, Argo, FOSSA, Grafana, Slack, and PagerDuty. For sources not natively supported, the platform provides a flexible API to allow for custom data ingestion and ontology building (verified: 2026-01-29).
What are the primary differences between the Liftoff and Crew subscription plans for teams?
The Liftoff plan supports up to 2 users and 500 entities, while the Crew plan scales to 25 users and 2,500 entities. Both plans require users to bring their own AI model and include a 14-day free trial for testing the platform (verified: 2026-01-29).
