AWS Batch vs schedulix

AWS Batch plans, schedules, and runs containerized batch workloads for machine learning, simulation, and analytics. It provisions and scales compute on Amazon ECS, Amazon EKS, and AWS Fargate, with Spot and On-Demand instance options. Jobs can be submitted through the AWS Management Console, command line interfaces, or software development kits, and specify memory and vCPU requirements. Queues support priorities, dependencies, retries, and scheduling based on resource needs. Jobs can request GPUs, which Batch can scale for and isolate to the appropriate containers. For high-communication workloads, it supports multi-node parallel jobs across EC2 instances and Elastic Fabric Adapter. Workflow integrations include Pegasus WMS, Luigi, Nextflow, Metaflow, Apache Airflow, and AWS Step Functions. The console shows compute capacity and job metrics; job logs appear in the console and Amazon CloudWatch Logs. AWS Batch runs in the cloud and supports API, Linux, macOS, web, and Windows access. The service itself has no additional charge, but compute and storage resources used to store and run jobs are billed separately. Jobs need to be executable as Docker containers. Security follows a shared responsibility model: AWS protects cloud infrastructure, while customers are responsible for security in their own cloud use.

Schedulix is open-source workload automation software for building and running IT process workflows. Its browser interface supports administration, workflow design, monitoring, and operations across systems. Scheduling can choose processes dynamically while accounting for priorities and available resources. Workflow structures include exit states, batch and job hierarchies, dependencies, resources, and triggers. Schedulix provides a documented API, and its RDBMS repository supports SQL read access through Standard Catalog Interface views. The product describes authentication for users, job server agents, and user processes, along with delegated system privileges and an audit trail of operator interventions. The maker says components restart without manual intervention after hardware, power, or operating-system failures, provided the RDBMS data remains secure. Source code is available on GitHub, and downloads include an RPM repository package and Windows packages. The software is free under the GNU AGPL and supports Linux, Windows, web, API, and self-hosted use. The maker also says users can move to proprietary BICsuite editions without losing work. Paid support eligibility is limited to installations from an unmodified official source copy or an independIT package.