What would be the fastest storage option for holding the temporary files?
Multiple Amazon S3 buckets with Transfer Acceleration for storage.
Multiple Amazon Elastic Block Store (Amazon EBS) drives with Provisioned IOPS and EBS optimization.
Multiple Amazon Elastic File System (Amazon EFS) volumes using the Network File System version 4.1 (NFSv4.1) protocol.
Multiple instance store volumes with software RAID 0.
Explanations:
While Amazon S3 is durable and can handle large amounts of data, it is not designed for high-performance temporary storage. S3 has higher latency compared to block storage options and is not suitable for applications requiring fast read/write operations during processing. Transfer Acceleration improves upload speeds but does not address the performance needs for temporary file storage during analysis.
Although multiple Amazon Elastic Block Store (EBS) drives with Provisioned IOPS can provide high throughput and low latency, the overall performance would still be limited by the maximum IOPS available per instance type and the EBS volume. Additionally, EBS volumes require network access to the instance, which can introduce latency, making them less ideal for very high-performance temporary storage compared to instance store volumes.
Amazon Elastic File System (EFS) is a scalable file storage service, but it is designed for applications that require shared access to files across multiple instances. While it provides good throughput, it does not match the performance characteristics of instance store volumes for temporary files, as EFS has higher latencies and can be less performant for workloads that require fast, temporary storage.
Multiple instance store volumes configured with software RAID 0 can provide the highest performance for temporary file storage. Instance store volumes are physically attached to the host machine, allowing for extremely low-latency access and high IOPS. Using RAID 0 can increase both the read and write speeds significantly by striping data across multiple volumes, making it the best choice for performance-sensitive temporary file storage during data analysis.