ActiveBatch vs Apache DolphinScheduler
ActiveBatch
advsyscon.comApache DolphinScheduler
dolphinscheduler.apache.orgSide by side
| Figure | ActiveBatch | Apache DolphinScheduler |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · Workflow Orchestration Software | 9.3 (#1) | 8.9 (#5) |
| Spec score · Workload Automation Software | 9.3 (#1) | 8.9 (#3) |
| API | The Web Services API supports SOAP 1.1–1.2 and REST and is included in the core license. | The product supports workflow coding and integration through its Open API, and the maker provides a Python API for defining workflows as code. |
| Deployment | ActiveBatch supports on-premises, public-cloud, private-cloud and hybrid environments. | The maker documents standalone, cluster, and Kubernetes deployment; standalone is intended for quick evaluation rather than production. |
| High availability | ActiveBatch provides dynamic or manual non-cluster failover between schedulers. | The architecture uses decentralized multi-master and multi-worker services so masters and workers can be scaled independently. |
| License | The EULA restricts copying, reverse engineering, rental and component separation, indicating proprietary commercial licensing rather than open source. | The source repositories identify the software as licensed under Apache License 2.0. |
| Support | Redwood states that it provides global 24 x 365 customer support through email, phone and a support portal. | The homepage directs users to documentation, quick starts, and a community mailing list for updates. |
| System requirements | Minimum documented hardware is a 2-GHz processor, 8 GB RAM and 700 MB disk, with .NET Framework 4.8, Windows Scripting Host and Universal C Runtime required. | The standalone guide requires JDK 1.8 or 11, a binary package and a deployment account with passwordless sudo privileges. |
| What it does | ActiveBatch is workload-automation and enterprise job-scheduling software for developing, optimizing and monitoring IT operations, infrastructure and applications. | Apache DolphinScheduler is a distributed workflow-orchestration platform for building and running data-pipeline DAGs through a visual interface. |
| Workflow design | It provides low-code/no-code drag-and-drop workflow design and hundreds of pre-built job steps. | Users can create workflows with a drag-and-drop interface or define them with Python, YAML, or the Open API. |
Plans
Apache DolphinScheduler
- Apache DolphinSchedulerFree
- Open sourceFree
In their own words
ActiveBatch
ActiveBatch is a workload automation and enterprise job scheduling platform for coordinating IT and business processes. Its low-code/no-code visual designer combines drag-and-drop workflow creation with hundreds of pre-built job steps. Jobs can start when external events occur or follow date and time schedules. Customizable monitoring, alerts, reporting and SLA monitoring help track execution; dependency controls, retries, recovery and execution observability are also listed. Integrations include PowerShell, SQL Server, ServiceNow and Microsoft Azure Data Factory. The Web Services API supports SOAP 1.1–1.2 and REST and is included in the core license. ActiveBatch supports on-premises, public-cloud, private-cloud and hybrid deployments, with execution agents for several operating systems. Its browser-based Web Console and Self-Service Portal provide interfaces for approved processes, with the portal intended for business and help desk users under IT control. Multi-factor authentication, audited object changes and revision rollback are supported. Pricing is on request; there is no free plan, and a free trial is available.
Apache DolphinScheduler
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.