Batchly is completely built on Amazon Web Services architecture and provides direct support and integration with S3, SQS, RDS and Lambda services. We are also working on building Docker (https://www.docker.com/) support to enable multi cloud environment support and did we mention about in-built support for AWS SPOT instances that can bring down processing costs by as much as 90%!

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.