AWS Batch vs HTCondor

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.

HTCondor is a free workload management system for compute-intensive jobs. It queues and schedules work, sets priorities, and monitors and manages computing resources across networked clusters, cloud resources, and international grids. Its ClassAd mechanism matches job requests with machine offers using configurable requirements and preferences. If a machine becomes unavailable during a job, HTCondor can restart that job on another machine. It can transfer job data when machines do not share a file system, or route job input and output through the submit machine. Separate installations can collaborate through flocking, and HTCondor-G works with Globus-managed resources. It is self-hosted and supports Linux, MacOS, and Windows. Feature release 25.14.1 adds a metric daemon that exports metrics to Prometheus and Ganglia. HTCSS is licensed under Apache License 2.0 and distributed without warranties or conditions. Contracted support is available; fees vary by support policy.