Automic Continuous Delivery Automation vs Causely
Automic Continuous Delivery Automation
broadcom.com
Causely
causely.aiSide by side
| Figure | Automic Continuous Delivery Automation | Causely |
|---|---|---|
| Price from | — | $2,000/mo |
| Free plan | — | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · AIOps Platforms | 8.5 (#2) | 8.5 (#3) |
| Integrations | Broadcom lists Jenkins, Git, Jira, Kubernetes, SAP, and Automic CDA Release Manager among its automation integrations. | The supported technologies page lists 73 technologies, including agents, telemetry sources, installation options, and workflow destinations such as Slack and Microsoft Teams. |
| Intended users | The product brief describes it as optimized for enterprise environments and intended to empower development and operations. | Causely says it is for teams building or running operations agents and for SRE and platform teams responsible for reliability. |
| Purpose | It is an application release orchestration tool for automating continuous delivery and deployment across enterprise IT. | Causely gives operations agents causal context from a live model of a system so they can diagnose issues and act proactively. |
Plans
Automic Continuous Delivery Automation
- Automic Continuous Delivery AutomationPriced on request
In their own words
Automic Continuous Delivery Automation
Automic Continuous Delivery Automation has no write-up on Specifiction yet; its figures are above.
Causely
Causely gives operations agents a live causal model of a system to help diagnose incidents and act proactively. Its causal inference identifies upstream causes behind cascading symptoms and is described as deterministic and explainable. Agents can traverse the causal graph to assess blast radius and compare behavior before and after deployments; they connect to the model through MCP. Causely ingests traces, metrics, logs, and alerts from existing observability tools, with OpenTelemetry, Datadog, and Prometheus named as examples. Its supported technologies include agents, telemetry sources, installation options, and workflow destinations such as Slack and Microsoft Teams. Deployment options include Kubernetes, Docker, hybrid SaaS, and bring-your-own-cloud. Causely says raw source data remains in the customer environment while distilled symptom state goes to its SaaS backend. BYOC can keep the entire application in the customer environment, including in air-gapped deployments. Professional Edition is $2,000 a month and covers up to 500 services, with 30 days of data retention and standard hybrid deployment. Enterprise pricing is custom.