AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. With AWS Batch, there is no need to install and manage batch computing software or server clusters that you use to run your jobs, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as Amazon EC2 and Spot Instances.
Oracle Compute Cloud Service is an infrastructure as a service (IaaS) offering that provides flexible and scalable computing, block storage, and networking services on Oracle Cloud. You can now set up and manage your computing and storage workloads in the cloud, on demand, using a self-service portal. You'll significantly reduce your computing costs and increase your business efficiency and agility. Use Oracle Compute Cloud Service to migrate your on-premises workloads to the cloud and reap the many cloud benefits.
AWS Batch is ranked 6th in Compute Service while Oracle Compute Cloud Service is ranked 10th in Compute Service. AWS Batch is rated 0.0, while Oracle Compute Cloud Service is rated 0.0. On the other hand, AWS Batch is most compared with AWS Lambda, AWS Fargate, Apache Spark, Amazon Elastic Inference and Apache NiFi, whereas Oracle Compute Cloud Service is most compared with AWS Lambda, AWS Fargate, Apache NiFi, Amazon EC2 Auto Scaling and Azure Stream Analytics.
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