IBM Data Science Pros and Cons

Users of IBM Watson Studio may create, maintain, and execute AI models, as well as scale-out decision-making across any cloud. The IBM data and AI platform, IBM Cloud for Data, includes IBM Watson Studio, which enables customers to operationalise AI anywhere. Review collected by and hosted on G2.com.

Too many tabs.

Little slow while launching.

Integration with other apps is limited. Review collected by and hosted on G2.com.

IBM Watson Studio makes the implementation of AI models very quick and easy. It offers a trial version which is perfect for experimenting with whether IBM Watson Studio is best for your use case. The platform is very user-friendly compared to other similar platforms. Review collected by and hosted on G2.com.

The documentation could be improved further. Integration with other sources can be tricky. If you want to implement a big project using IBM Watson Studio, it will be expensive and complicated to maintain. This could be improved with good documentation and better pricing of plans. Review collected by and hosted on G2.com.

It is pretty easy to understand by people who are not very proficient in tech as well, and that makes it a very powerful tool.

This being a one-stop solution for your data and analytics needs, helps users in achieving optimal performance in their analytical and other tasks. Review collected by and hosted on G2.com.

As containerization is still comparatively fairly new, it can be a bit difficult for everyone to understand and use it since cloud pak is mostly based on it. So, maybe if some other vertical is available for the users with lesser knowledge about it and better documentation, can help. Review collected by and hosted on G2.com.

A lot of great features are provided by IBM tools. And cloud Pak for Data in particular is again something that comes with a bundle of great data-centric features, which makes the life of a data team easier in several aspects.

Data virtualization has been very useful, along with the ability to integrate with several other tools, as and when required.

Also, containerization is very crucial in maximum projects these days, and IBM cloud pak beautifully delivers this feature as well and helps in creating a lesser error-prone environment for everyone and giving faster deliveries and insights. Review collected by and hosted on G2.com.

I feel it is a bit complex and pricey though, and hence not easily approachable to integrate into smaller firms.

From the complexity perspective, it is because it offers tonnes of amazing features, but it becomes equally difficult to get a hang of everything and understand each feature and takes some time to get used to. So, maybe more tutorials and all should be there for better understanding and making knowledge transfer smooth for everyone Review collected by and hosted on G2.com.

The final interface of the system is excellent because users who are not IT experts quickly learn how to use the system.

The UX was well used in this product/system. Review collected by and hosted on G2.com.

Often corporate solutions try to look simple, but corporate environments are not. The propaganda that you can quickly: build, test, approve and maintain an environment like this. It is not easy, much less fast, because the bureaucracy and financial costs of corporate environments are high. So implementing projects like this takes months, if not years. Review collected by and hosted on G2.com.

Cloud Pak can use AWS services and features. Cloud-native development solution. Provide a secure way of cloud. Security. Hybrid cloud. Helps with data preparation for artificial intelligence. Collect, organize and analyze data, irrespective of where that data actually resides. Review collected by and hosted on G2.com.

Not that famous in the industry yet. Not very user-friendly. Multi-user login can be granted. Implementation is not that simple. Documentation and videos are limited. Review collected by and hosted on G2.com.

It provides multiple components and integrations to handle data, provides key insights around it. This AI platform makes all data available for analytics on any cloud. Review collected by and hosted on G2.com.

UI is not so user friendly and not well documented. Review collected by and hosted on G2.com.

Scalability, Quick deployment, solution integration with public cloud. Review collected by and hosted on G2.com.

Local backup solution like snapshots for DB. Review collected by and hosted on G2.com.

It is high performance computing solution which used for common platform across the cloud. Review collected by and hosted on G2.com.

It doesn't allow to start with small infrastructure which is drawback of it. Review collected by and hosted on G2.com.

End to end cloud with smart solution and automation Review collected by and hosted on G2.com.

Lots of legacy code makes it difficult for finding the right solution Review collected by and hosted on G2.com.