Batchly v Azure batch
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The document compares enterprise batch processing solutions on the cloud, specifically highlighting Batchly and Microsoft Azure Batch. Batchly offers a job scheduler that simplifies AWS management for cost-efficient data processing, while Azure Batch is designed to handle large-scale parallel and HPC workloads with features for task management and execution. Both solutions support operational models like on-demand execution and scaling, with Batchly currently focused on AWS integration.
Batchly v Azure batch
- 1. ENTERPRISE BATCH PROCESSING ON CLOUD compared azure.microsoft.com/en-us/services/batch/ batchly.net
- 2. 47LINE BATCHLY Cloud scale job scheduler that abstracts AWS cloud management complexities and enables businesses to easily run their data processing/ batch jobs for significant time and cost savings. MICROSOFT AZURE BATCH Azure Batch makes it easy to run large-scale parallel and HPC workloads in Azure. Use Batch to scale-out parallel workloads, manage the execution of tasks in a queue, and enable applications to offload compute jobs in the cloud. Intelligent Learning Algorithm that predicts the right infrastructure usage and optimizes for both cost and time None Intelligence Executables Executables (EXE) and Scripts (EXE), Libraries (DLL) and Scripts Execution On-demand Execution On-demand, Timed and Always On Operational Model
- 3. Submit Code, Invoke API for Processing Submit Code, Define Data source, Define SLA Implement single Interface or Parse JSON with input data Multiple Interfaces, Pre-defined Static properties Data Processing API API call only Modern Web Portal Ease of Use Manual Automatic (Autoscaling) Scaling
- 4. Manual (Supplied as parameters) Automatic Bootstrap None Cost or Time Based Job SLA Windows only (Linux support in future) Windows and Linux environments OS Support None Live Monitoring Progress Tracking
- 5. None Detailed Job Summary None Serial and Parallel Execution Workflows Cloud component abstraction and direct data injection Custom Built Reporting Workflow Support Cloud Interface Batchly is AWS native with direct support for S3, SQS and RDS and intelligence to manage AWS SPOT instances. Compiled by 47Line Technologies Inc.