| Benefits | Features |
| High Resource Utilization and Predictability | - Support for multiple MapReduce applications sharing the MapReduce distributed workload cluster
- Sophisticated scheduler to manage various types of workloads simultaneously across the cluster
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| Enterprise-class Manageability and Security | - Application deployment, workload scheduling policies, tuning, and general monitoring and administration
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| High Availability | - Automated failover of HDFS NameNode, Job Tracker and Task Tracker
- Automatic job restart
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| Open Architecture | - Open architecture for application development and end user access
- Open architecture supporting various types of distributed file systems and different data input from data output
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| Multiple Application Workload Capable | - Supports multiple MapReduce applications and mixed workloads running simultaneously across a set of common resources
|
| Guaranteed SLA Requirements | - Priority based scheduling with large degrees of granularity
- Supports up to 10,000 levels of prioritization for extremely granular scheduling logic
|
| Hadoop Compatibility And Optional Support For HDFS | - 100% compatibility with Hadoop applications and fully integrated, optional support for HDFS for Platform Symphony MapReduce customers
- A complete, fully supported MapReduce stack from a single vendor
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