Overall Satisfaction with IBM Cloudant
We use Cloudant to store production data used in analytics/machine learning models. We run an agricultural management platform to help farmers improve efficiency and reduce risk.
- Easily accessible via the IBM Cloud dashboard.
- Ease of integration with IoT and analytics products.
- Decent interface
- Poor backup and recovery tools.
- Not easy to sort data.
- Too early to say, still at MVP.
MS SQl is more specific to relational data. Overall, it is more mature with a more feature-filled interface, user access management, and tools to manage data.