Find out in this report how the two Hadoop solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
They help with billing, cost determination, IAM properties, security compliance, and deployment and migration activities.
The technical support is quite good and better than IBM.
Scalability can be provisioned using the auto-scaling feature, EC2 instances, on-demand instances, and storage locations like block storage, S3, or file storage.
Regular updates, patch installations, monitoring, logging, alerting, and disaster recovery activities are crucial for maintaining stability.
There is room for improvement with respect to retries, handling the volume of data on S3 buckets, cluster provisioning, scaling, termination, security, and integration between services like S3, Glue, Lake Formation, and DynamoDB.
Integrating with Active Directory, managing security, and configuration are the main concerns.
Cost optimization can be achieved through instance usage, cluster sharing, and auto-scaling.
It can be deployed on-premises, unlike competitors' cloud-only solutions.
Amazon EMR helps in scalability, real-time and batch processing of data, handling efficient data sources, and managing data lakes, data stores, and data marts on file systems and in S3 buckets.
This is the only solution that is possible to install on-premise.
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