

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
I would rate the technical support from Amazon as ten out of ten.
We get all call support, screen sharing support, and immediate support, so there are no problems.
They help with billing, cost determination, IAM properties, security compliance, and deployment and migration activities.
It seems very difficult to get proper advanced assistance on advanced or complicated problems.
The quality of support from SAP is very good; if it's a known problem, they will have a knowledge base, so we will get immediate assistance.
Scalability can be provisioned using the auto-scaling feature, EC2 instances, on-demand instances, and storage locations like block storage, S3, or file storage.
We can span the read and write load into multiple nodes, and that scalability is there.
If we wanted to add more servers into this entire setup, that would be fairly easy, so it's rather good when it comes to scalability.
Regular updates, patch installations, monitoring, logging, alerting, and disaster recovery activities are crucial for maintaining stability.
It's usually something external, such as lack of disk space or problems arising from the integration to other systems.
The cost factor differs significantly. When you run Spark application on EKS, you run at the pod level, so you can control the compute cost. But in Amazon EMR, when you have to run one application, you have to launch the entire EC2.
I have thoughts on what would be great to see in the product, such as AI/ML features or additional options.
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.
It is easy to deploy SAP IQ; the implementation and installation are easy.
When there is an issue, the error messaging we get is not always sufficient to do a fast and solid fix.
Cost optimization can be achieved through instance usage, cluster sharing, and auto-scaling.
I would rate the price for Amazon EMR, where one is high and ten is low, as a good one.
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.
The features at Amazon EMR that I have found most valuable are fully customizable functions.
Amazon EMR provides out-of-the-box functionality because we can deploy and get Spark functionality over Hadoop.
The feature I appreciate the most about SAP IQ is the compression, which is very good; we cannot compare with any other type of EDW.
The most valuable feature of SAP IQ for us is that it works very effectively with the SAP BusinessObjects which we use it with.
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 5 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 2 |
| Large Enterprise | 16 |
SAP® IQ software delivers speed and power for extreme-scale enterprise data warehousing and analytics. Its column-oriented, grid-based massively parallel processing (MPP) architecture and patented data compression and indexing technologies enable companies to exploit the value of huge amounts of data at the speed of business.
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