IBM Data Science Pros and Cons

One-stop shop for all Analytics needs from collecting to analyzing allowing users to have everything needed to achieve optimal performance without affecting the underlying sources. Review collected by and hosted on G2.com.

Need to have open shift skills (container technology), requires more of a culture shift. It’s good in the long run but harder for users newer to containerization Review collected by and hosted on G2.com.

It is quite easy to use as it comes with a dashboard that can be customized with any of the underlying cloud services. Review collected by and hosted on G2.com.

Like any other IBM offering the enterprise version is quite costly. Review collected by and hosted on G2.com.

Ibm Watson Studio helps us to extract the data from documents in a very effective way and it uses key value pairs and extract the data automatically.we can train the documents in Watson Studio very easily.For each and every field that we train it will show different colour hightlighted field which is very good thing Review collected by and hosted on G2.com.

It needs to improve in terms of when it comes to large chunks of data to be extracted.unlike other ocr tools it needs to improve its features.For unstructured documents extraction it needs to do the extraction in more effecient way Review collected by and hosted on G2.com.

Platform build with data fabric architecture. Review collected by and hosted on G2.com.

Not yet, because we used and integrate it Review collected by and hosted on G2.com.

Dat ware house and cloud stores solution are the best Review collected by and hosted on G2.com.

A little bit UI experience and pricing model Review collected by and hosted on G2.com.

1) Without writing a single line of code we can craft the maching learnig model which is the best part.

2) We can drag and drop files which makes our effort work. Simply look for the item we need in our model select it drag it to work area and drop it.

3) A great variety of analytics, from statistical calculation to data validation and predictive statistics which is one of the best in-built function of this tool.

4) It has a beautiful and intuitive new UI.The manual is very easy to understand. Review collected by and hosted on G2.com.

The time file of the executive sometimes gets corrupted, which takes a lot of time else, everything is perfect in this tool. Review collected by and hosted on G2.com.

Seamless integration of monolith to containerised solution. Review collected by and hosted on G2.com.

Nothing to specify as such things as per our view. Review collected by and hosted on G2.com.

Quick and easy deployment capability for machine learning and data science solutions. APIs are helpful in image and speech recognition,insights, text identification etc. Estimator validation is very helpful in testing models. Used in part of my collaboration with Data and analytics team intiative. Review collected by and hosted on G2.com.

The support can be more responsive which can increase the adoption rate eventually. Review collected by and hosted on G2.com.

It can run any code of python to SQL. Consisted of many features which can solve any problem of the user Review collected by and hosted on G2.com.

It is difficult to use and require practice to master the commands and interface. Not everyone can run the commands in it, which make it not so popular among others Review collected by and hosted on G2.com.

With the help of automation and embedded AI, it helps data to be easily identified thus a great boon to data-driven business Review collected by and hosted on G2.com.

Service issues like backup and restore and sometimes installation and backup issues make it a little tedious Review collected by and hosted on G2.com.