We performed a comparison between IBM Watson Explorer, Mode Analytics, and Tableau based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer."
"For me, as a user, the most valuable feature is the ability to ingest and then retrieve information from a range of separate sources; the ability to dissect questions in context and actually answer them."
"The ability to easily pull together lots of different pieces of information and drill down in a smarter way than has been possible with other analytics tools is key. Watson is all based on a set of AI and deep learning, machine-learning capabilities, and it is looking behind the scenes at some relationships that you likely would not have spotted on your own. It's pulling things together, categorizing some things, that are not something that you might have seen on your own."
"Ease of use is pretty good as is the standardization of not actually having to have my own natural learning algorithms, just to use the Watson APIs."
"We take natural language that was happening in our repositories and our application and then feed it to the Watson APIs. We receive JSON payloads as an API response to get cognitive feedback from the repository data."
"The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."
"The solution is simple for people from a viewing perspective, not a coding perspective."
"The tool helps to catch results and review them."
"The most important feature of the solution is the ability to run Python-based scripts."
"The most valuable feature I would say is the flexibility in editing."
"Tableau has comprehensive, insightful charts, which allow you to build stunning dashboards and enrich your support decision-making."
"When compared to Power BI, Tableau has more readily available resources."
"You are able to see and follow trends."
"It's very user-friendly. It's not like Power BI, Tableau is very user-friendly. Anybody can use Tableau. It's very easy to adopt things. I can visualize the stats."
"Since Tableau is on the cloud, we haven't faced any challenges around scalability."
"It's very easy to set everything up."
"The most important feature is the tool is very easy to use. This makes it simple to introduce it to CxOs. After a rapid demo, they are usual impressed by the results shown, because it has such a rare simplicity."
"A valuable feature of Tableau is that it is a useful tool for small setups. I shuffle between Tableau and MicroStrategy, so I use Tableau for personal purposes more than enterprise. I like the light version of Tableau for personal usage and doing some use cases on my own. When it comes to something small, I use Tableau for setups, rather than any other tool."
"More cognitive feedback would be good. The natural language analysis is great, the sentiment analyzers are great. But I would just like to see more... innovation done with the Watson platform."
"Much of IBM operates this way, where they have sets of tools that are in the middleware space, and it becomes the customer's responsibility or the business partner's responsibility to develop full solutions that take advantage of that middleware. I think IBM's finding itself in that spot with Watson-related technologies as well, where the capabilities to do really interesting and useful things for customers is there, but somebody still has to build it. Is that going to be the customer? Are they going to be willing to take on that responsibility themselves"
"It is a little bit tricky to get used to the workflow of knowing how to train Watson, what can be provided, what can't be, how to provide it, how to import, export, and what it means every time you have to add a new dictionary"
"Small businesses will probably have a little harder time getting into it, just because of the amount of resources that they have available, both financial and time, but it really is a solution that should work for them."
"Stability is actually one of the areas that could use improvement. Setting it up is always tough. Setting Explorer requires experts, but also the underlying platform is not that stable. So it really needs a good expert to keep it running."
"The solution is expensive."
"I would say, give some kind of a community edition, a free edition. A lot of companies do, even Amazon gives you some kind of trial and error opportunities. If they could provide something like that, it would be good."
"It needs better language support, to include some other languages. Also, they should improve the user interface."
"Mode Analytics needs to improve the overall user experience."
"The data visualization is cumbersome in Mode Analytics. I want the solution to add a map that has an easy interface. The UI is slow sometimes."
"I think in terms of User Interface, I would say it can be better."
"The solution could run faster."
"We did have issues with Tableau 10.1 server with the brokers failing on heavy load but since moving to 10.2, then to 10.3, this issue seems to have been resolved and the environment is now quite stable."
"It would be nice if we could export more raw data. Currently, there is a limit as to how much data you can export."
"Improvements can be made in template support. The workbook file structure is really hard to version control. If there was some sort of version control support offered particularly for workbooks, that would help big time."
"With Tableau, when you're dealing with very large datasets, it can be slow so the performance is an area that can be improved."
"When compared to Power BI, it is less user-friendly."
"Firstly, the high cost of Tableau licenses makes it inaccessible for many mid-scale clients. Secondly, the server requires at least 128GB of RAM, which can be impractical for some systems. We need a dedicated system to use Tableau."
"Tableau is an end-to-end analytics platform, and it is doing a pretty good job in terms of connecting to the data and analyzing it. It can, however, do better in terms of data management and the ETL features, which are not on the advanced analytics or machine learning side. Tableau Prep is where users would want to see more advancements. They can improve Tableau Prep, which is an analytic platform tool for data cleansing. People who work with data spend most of their time curating the data. Cleaning up the data and getting it ready for analysis is what takes the most time. If Tableau can invest more time in improving the Tableau Prep platform, it would be great. Previously, Tableau didn't have the functionality for writing to a database. So, you couldn't really alter the database tables and write to your database, but they fixed that in one of the very recent releases. However, it isn't really advanced and should be improved."
"There's no mature ETL tool in Tableau, which is quite a negative for them."
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