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.
There are technical challenges, such as the inability to provision the database using a PostgreSQL snapshot directly.
The pricing is reasonable and not overly expensive.
Amazon Aurora offers a 99.9% SLA compared to PostgreSQL. This ensures a high level of availability for our applications.
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.
Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.
Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).
Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.
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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