IBM Cloud Databases vs. MonetDB

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

I think for what we use it for, mainly scheduling, forecast and to compare against payroll, it works well. I think there are some other things that could be added to it to use, like more expansive ways to use the forecasting tool and an easier way to pull previous data from prior years. This would help making the forecast for scheduling in the future.

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

• It is easy to use.
• You are able to input lots of data and it understands and populates information.
• Able to change settings on the fly to use with your needs.

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

• This is an open source software so there are obvious drawbacks, the biggest of which is a lack of documentation.
• MonetDB does not seem to be well known outside of the academic environment so there is less information when you are searching for answers of any type.
• I'd like to see more use cases and/or best practices so that commercial companies like ours can optimally use all of its highly performant features.
• The code is written in C/C++ and this can be negative if you are a mainly java-shop and need UDF - User Defined Function.

Incentivized

I am very fond of the features and reliability of the compose DaaS, however I could switch if I find same qualities for lower price.

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

There is a plethora of choices when it comes to NoSQL and columnar based databases. We use not one but sometimes 2 or 3 of them to carry out a specific purpose. We chose MonetDB because our engineering team enjoys working with open source software and appreciates its simplicity although becoming familiar with it did take time. I would not deploy MonetDB to production but it's a great backup option.

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

• If you are familiar with a general database concept and played with open source products before then MonetDB will give you immediate return in terms of productivity since developers can quickly develop and verify their test cases involving back-end database with a large sample data set.
• There is a stiff learning curve due to lack of documentation and sparse information available on the internet.
• Overall experience has been positive since MonetDB gives you another option when it comes to building out a data warehouse.

Incentivized