Camunda
7.6#1 in decision support softwareFree planFree planWebAPILinuxmacOS
VisitCamunda vs Opus by AppliedAI
Opus by AppliedAI
5.3#27 in ai workflow automation softwareWebAPISelf-hosted
VisitWhat both publish
| Fact | Camunda | Opus by AppliedAI |
|---|---|---|
| Analytics | Optimize provides process reports, dashboards and KPI monitoring with alerts. | Opus tracks run durations, throughput, and agent learnings and can identify recurring errors and workflow improvements. |
| Deployment | Camunda is available as SaaS or Self-Managed, including Kubernetes, Docker, and manual installation options for Self-Managed. | Deployment options include managed Opus Cloud, private cloud, and on-premises deployments, including air-gapped environments. |
| Headquarters | Berlin, Germany | Abu Dhabi, United Arab Emirates |
| Integrations | Camunda offers connectors and marketplace templates for ERP, CRM, ITSM, LLM providers, APIs, webhooks, RPA and Microsoft Teams. | The company says Opus connects to 3,500+ integrations, including Salesforce, ServiceNow, SAP, Snowflake, Okta, and Microsoft 365. |
| Purpose | Camunda orchestrates people, AI agents, systems, and devices in end-to-end business processes. | Opus is an agentic AI platform for automating regulated business processes, with business teams discovering, building, running, and optimizing workflows. |
Camunda plans
- Camunda SaaS trialFree
- Self-Managed DevelopmentFree
- Camunda SaaSPriced on request
- Self-Managed ProductionPriced on request
Opus by AppliedAI plans
- OpusPriced on request
Pick Camunda if…
Camunda suits organizations coordinating complex processes across people, software, and AI agents, including sectors such as finance, insurance, telecom, retail, manufacturing, technology, and government. It is also suited to teams that need both automated workflow execution and human approvals.
Pick Opus by AppliedAI if…
Opus suits enterprise teams automating regulated, document-focused back-office work, including banking, healthcare, and insurance operations. It is intended for organizations needing AI decisions with human approvals and flexible deployment.