

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
We earned back our investment in Amazon Redshift within the first year.
Documentation that allows anyone with prior knowledge of Redshift or SQL to resolve technical issues.
Whenever we need support, if there is an issue accessing stored data due to regional data center problems, the Amazon team is very helpful and provides optimal solutions quickly.
It's costly when you enable support.
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.
The scalability part needs improvement as the sizing requires trial and error.
We have successfully increased our storage space, which was a smooth process without server crashes before or after scaling.
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.
Amazon Redshift is a stable product, and I would rate it nine or ten out of ten for stability.
It's usually something external, such as lack of disk space or problems arising from the integration to other systems.
Integration with AI features could elevate its capabilities and popularity.
Integration with AI could be a good improvement.
They should bring the entire ETL data management process into Amazon Redshift.
If the CPU utilization is very high, there is no direct way we can find out which query is taking the most CPU.
When there is an issue, the error messaging we get is not always sufficient to do a fast and solid fix.
It's a pretty good price and reasonable for the product quality.
The cost of technical support is high.
The pricing of Amazon Redshift is expensive.
The specific features of Amazon Redshift that are beneficial for handling large data sets include fast retrieval due to cloud services and scalability, which allows us to retrieve data quickly.
Scalability is also a strong point; I can scale it however I want without any limitations.
Amazon Redshift's performance optimization and scalability are quite helpful, providing functionalities such as scaling up and down.
We can get historical data quickly, and you can fetch information very quickly because every column is indexed.
The most valuable feature of SAP IQ for us is that it works very effectively with the SAP BusinessObjects which we use it with.
| Product | Mindshare (%) |
|---|---|
| Amazon Redshift | 4.6% |
| SAP IQ | 3.1% |
| Other | 92.3% |

| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 21 |
| Large Enterprise | 29 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 2 |
| Large Enterprise | 16 |
Amazon Redshift is a dynamic data warehousing and analytics platform offering scalability and seamless AWS integration for high-performance query processing and diverse data management.
Amazon Redshift provides robust data integration capabilities with AWS services like S3 and QuickSight, enabling efficient data warehousing and analytics. It is known for fast query performance due to its columnar storage and can handle diverse file formats. With a user-friendly SQL interface, Redshift supports data compression and offers a strong cost-performance ratio. Its secure VPC configurations and compatibility with data science tools enhance its functionality, although there is room for improving snapshot restoration, dynamic scaling, and processing large datasets.
What are the key features of Amazon Redshift?In industries, Amazon Redshift is essential for managing extensive datasets for business intelligence, operational insights, and reporting. It supports data integration from ERPs and S3, handles SQL queries for comprehensive analysis, and facilitates data storage and transformation. Companies use it for predictive modeling and connect with BI tools like Tableau and Power BI to derive actionable insights.
SAP IQ, with its columnar architecture, provides high-performance data solutions. It excels at data warehousing and business intelligence, managing vast data efficiently, and supports fast query execution along with easy maintenance.
SAP IQ offers a powerful platform for scalable data warehousing, handling petabyte-scale workloads with ease. Its columnar architecture ensures high performance, leveraging compression to optimize storage and speed up queries. Designed for concurrent access, it enables rapid data loading, crucial for insights in business intelligence and analytics. While acknowledged for its data handling prowess, areas such as backup solutions, metadata consistency, and integration with Hadoop require enhancements. Users also anticipate improvements in stability, error messaging, and documentation to maximize SAP IQ's potential.
What are the key features of SAP IQ?SAP IQ is implemented across many industries for secondary storage in SAP systems and as a core component in data warehousing and business intelligence solutions. It supports large-scale reporting, data migration, and serves as a backbone for SAP BusinessObjects platforms, proving essential in environments like military collaborations and enterprise transactions.
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