Apache DolphinScheduler vs Automic Automation

Apache DolphinScheduler is a free, open-source workflow orchestration platform for designing and running data workflows through visual directed-acyclic-graph interfaces or code. Workflows can be built with drag-and-drop tools or defined in Python, YAML, or the Open API. The project lists more than 30 task types, including Shell, SQL, Spark, Flink, Hive, Kubernetes, and HTTP. Scheduling supports cross-project and cross-workflow dependencies, pause and resume operations, and serial or parallel batch backfills. A decentralized multi-master, multi-worker design is described as increasing scheduling capacity with cluster size. Deployment options are standalone, cluster, and Kubernetes. Standalone is for evaluation, recommended for fewer than 20 workflows, and its in-memory H2 database is cleared when the service stops or restarts. Authentication includes password, LDAP, Casdoor SSO, and OAuth2, with administrator-managed resource controls. The security model assumes a trusted network.

Automic Automation is a workload orchestration platform for hybrid environments spanning mainframes, cloud-native systems, and microservices. It provides centralized control, self-service workflows, dependencies, event triggers, and cross-platform execution. SLA features track critical paths, forecast bottlenecks, and monitor workflow risks. Agentic AI Jobs can perform dynamic remediation or data routing within Automic object definitions. The platform supports a Bring Your Own Model architecture and works as both a Model Context Protocol client and server for external large language models. Broadcom’s Automation Marketplace lists hundreds of pre-built plugins and connectors, including ServiceNow, Oracle, SAP, Google Cloud, and AWS. SAP integrations cover BTP, BOBI, DI, and IBP, with SAP Integration & Certification Center certifications. Deployment options are on-premises, cloud-native Kubernetes containers, or managed Automic SaaS. SaaS provides on-premises feature parity, automatic updates, and no infrastructure to manage. Role-based access control, encryption, and audit trails are described. Pricing is on request; AI Edition licensing is by node count.