

SAP IQ and Amazon Aurora are strong contenders in the database solutions category. SAP IQ is often preferred for its query speed and data compression, while Aurora is noted for its ease of use and management capabilities.
Features: SAP IQ is recognized for its exceptional query speed, effective data compression, and columnar storage that enhances performance and space efficiency. Amazon Aurora stands out for its easy management, scalability, and seamless AWS integration, along with its automated backup and scaling features, which offer compatibility with MySQL and PostgreSQL.
Room for Improvement: SAP IQ users suggest enhancements in disaster recovery options, marketing efforts, and a reduction in high costs to increase awareness and utilization. Amazon Aurora faces challenges with its pricing structure, limited AI capabilities, and the need for better developer tools and options outside AWS environments, which users recommend addressing to broaden adoption.
Ease of Deployment and Customer Service: SAP IQ primarily supports on-premises deployments, which fits well with established IT infrastructures, though its customer service is often criticized for insufficient expertise and delayed responses. Amazon Aurora, being cloud-centric, offers flexibility with both public and private cloud deployment options and is praised for its highly rated customer support and global coverage.
Pricing and ROI: SAP IQ is seen as cost-effective in implementation and hardware savings, with complex licensing models that need careful enterprise consideration. Users find its setup costs lower than competitors like Teradata. In contrast, Amazon Aurora adopts a cloud-based usage model with competitive pricing billed on usage rather than licenses, balancing performance with favorable operational expenditures despite its higher costs than self-managed solutions.
Using Amazon Aurora has saved us significantly in terms of manpower costs, with nearly fifty percent savings compared to an on-premises solution.
Technical support from Amazon is rated very highly.
The initial support could improve by having engineers familiarize themselves with the issue content to provide more specialized assistance from the start.
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.
This scalability is critical as it allows for runtime expansion, which is essential for businesses moving from on-premises to the cloud.
Regarding scalability and the ability to scale, I would give it a 9.5 out of ten.
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.
I would rate the stability of Amazon Aurora as a nine out of ten.
It offers a stable environment, ensuring consistent performance.
It's usually something external, such as lack of disk space or problems arising from the integration to other systems.
If Amazon reduces the cost of Amazon Aurora, it would support large team adoption.
There are technical challenges, such as the inability to provision the database using a PostgreSQL snapshot directly.
Keeping extensions up-to-date with PostgreSQL releases would enhance Aurora's functionality.
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.
The pricing for Amazon Aurora is different from DocumentDB because DocumentDB is cheaper.
Amazon Aurora is not very expensive as other solutions with similar features from other vendors come at almost the same cost.
The pricing is reasonable and not overly expensive.
The functions I have found most valuable in Amazon Aurora PostgreSQL are features that are not available in normal RDS PostgreSQL, particularly for scaling and restoration purposes in the event of failure.
It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR.
Amazon Aurora offers a 99.9% SLA compared to PostgreSQL. This ensures a high level of availability for our applications.
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 Aurora | 3.2% |
| SAP IQ | 2.2% |
| Other | 94.6% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 2 |
| Large Enterprise | 16 |
Amazon Aurora offers a relational database service with high availability and compatibility with MySQL and PostgreSQL. It is designed for efficient scalability and seamless integration within AWS, making it optimal for applications requiring robust performance and reliability.
Amazon Aurora distinguishes itself through its managed maintenance, ensuring high operational efficiency. It provides users with the ability to auto-scale their database resources, allowing businesses to maintain cost efficiency without sacrificing performance. The service includes robust disaster recovery options and supports up to sixteen read replicas, which are critical for mission-critical applications. Users benefit from smooth, cross-region replication and integration capabilities with other AWS services, enhancing data reliability and accessibility.
What are the most important features of Amazon Aurora?Amazon Aurora is extensively used across various industries such as finance, e-commerce, and healthcare, supporting internal applications with its relational database prowess. Many organizations leverage its serverless capabilities and cost-effective scalability for developing business intelligence and payment processing solutions. The seamless migration assistance from Oracle databases further underscores its appeal for enterprises looking to optimize database performance and reduce operational costs.
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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