IBM Cloud Databases vs. SimScale

Less Appropriate Scenario: 1) Small Scale or Low Budget Projects 2) Organizations with limited expertise in cloud technologies may find the learning curve steep, especially if they are not familiar with the IBM Cloud platform 3) If database requirements are highly dynamic and change frequently, the comprehensive features and management provided by IBM Cloud Databases might be overkill. A more flexible, self-managed solution could be preferable for adapting to rapid changes.

Incentivized

For a small company, SimScale is a great fit. It allows me to gain the use and support of higher-end software analysis on demand without the traditional high cost. This is super convenient for a company that does occasional design and analysis. Since the computing is cloud-based it also allows me to process large and detailed models without the high hardware cost that can be required. One potential drawback is that the design information is stored on someone else's server. For some industries and companies this would be a deal-breaker.

Incentivized

• 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.

Incentivized

• Material non-linear analysis.
• Geometric non-linear analysis.
• Meshing.

Incentivized

• 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.

Incentivized

• Learning from tutorials is great, but limiting. The online help is a must.
• Some simulations take a lot of time, but at least it's not on your PC.
• Sometimes the software times out due to the server.

Incentivized

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

Incentivized

I had a great experience with SimScale but we only used the software for a short period of time to complete the current design requirements. It is not a software that we would continually subscribe to. Next subscription event would occur when there is a design requirement to do so.

Incentivized

IBM Cloud Databases' pricing structure is easy to understand, and if you choose the right product, you can operate your system at minimal cost. Although there is ample documentation available, there doesn't seem to be a user community running on it, so specific usage know-how and troubleshooting can sometimes take longer than expected.

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

Incentivized

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.

Incentivized

SimScale is much faster to spin up on than OpenFOAM. Ansys CFD tools are much more expensive! Both tools require expensive computing equipment to run, which SimScale does not!

Incentivized

• 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

Incentivized

• It has allowed us to increase our service offering which has lead to additional work.

Incentivized