IBM Cloud Databases vs SAP IQ Formerly SAP Sybase IQ

I think the best use case for using IBM Cloud Databases is when other products in the IBM Cloud ecosystem are being used. It works very well when computing is being used, or any other IBM cloud products really. I could also see these products being really useful in any scenario where a managed database is wanted with little overhead to set it up and manage it.

Does data compression very well, produces query results very quickly, ability to scale up as data volume/size grow in an organization, row level versioning is in memory and hence the speed. It is a very stable product for large enterprises. More detailed documentation on how to use this product in the initial stages would be really welcome.

• The ease of setup was effortless. For anyone with development experience, a few simple questions such as name and login data will get you set up.
• The web application to manage cluster settings, billing settings and even introspect the data was simple and most importantly worked all the time. This can not always be said for web interfaces of other products.

• Inserting millions of rows of data takes seconds.
• Aggregating billions of rows of data is insanely fast (compared to Oracle, Sybase, and SQL Server).

• Better cost reports, before just increasing to another tier, thus increasing the price. This is critical for early stage startups, where budget is tight.
• Add more data center options. As a comparison, a similar service, Aiven.io has dozen more options than Compose (basically all big cloud providers). We moved from AWS to Digital Ocean, which made us stop using Compose, since Compose forces us to be either on IBM or AWS.

• The pricing schedule is a bit expensive and cumbersome.
• Licensing for a virtual machine is difficult to understand.

IBM is our trusted partner which never failed to meet our expectations. Stability, efficiency, usability and security is a must have for our business which is fully provided by IBM Cloud Databases

It is great the only things I have stumbled upon is the non standard port 80 they use and sometimes expired SSL certificate.

Support is helpful enough, but we haven't always had questions answered in a satisfactory manner. At one time we realized that Compose had stopped taking database snapshots on its two-per-day schedule, and had in fact not taken one for many days. Support recognized the problem and it was fixed, but the lack of proactive checks and the inability to share exactly what happened has caused us to look elsewhere for production work loads

SAP IQ support is top-notch. I prefer starting all my SAP IQ support tickets with their Instant Messenger, where the majority of our issues are resolved. If it makes it to their ticketing system, they are very prompt at responding and very knowledgeable in the platform.

The reason why I choose IBM Cloud Databases is that the IBM cloud toolset is already being used in other functions of the company and by using IBM Cloud Databases, the other cloud tools are better embedded and integrated. If the company is set to use amazon tools, I would go for rds.

SAP IQ is perhaps an under-marketed product in the sense that it is able to scale up very well and perform much faster and more efficiently than other products such as Oracle - when we ran multiple large queries on both Sybase IQ and Oracle, we found that that results were much faster in Sybase IQ and this gave the confidence to go for this product.

• Prove use cases prior to administering entire platform, obtain ROI faster
• Able to achieve the technological components of our advanced analytics team without full scale purchase of AI platform
• Developed several studies to prove out cloud Db value, speed to deploy

• The ROI over a number of years has been good. Seeing as how we use it for billing, it has an obvious ROI to us.
• As they have been modifying their licensing structure, it's been difficult to keep up and understand how they work.