IBM Watson Content Analytics vs. IBM Watson Explorer

IBM Content Analytics is well suited for organizations with the resources to invest a significant amount of energy in an advanced analytics engine. The software improved the productivity of analysts and programmers. The software is not suitable for companies that just want Excel-type analyses or that lack the capabilities of doing advanced analytics.

Incentivized

The Watson Explorer is great because it potentially replaces a meriad of other low-level analytics products that we would need to use for data analytics and data mining. WEX isn't really suitable much beyond doing text and data analytics and performing machine learning, so if your team doesn't really have a use-case that fits all of these categories, it is worth looking at an alternative.

Incentivized

• Impressive and efficient indexing system.
• Rarely does the indexing have issues that need to rebuild/reindex.
• Searches are almost instantaneous and end users can move on to the next task.

Incentivized

• Free to try - It's possible to use most of the useful features of Watson Explore on their trial/demo accounts.
• Super well-designed data analytics tool - Most of the tools and features of the explorer are really useful, and truly help you fully understand the depth of any format of textual data.
• Extensive sources compatibility - WEX can retrieve data from a large range of sources, and the compatibility there is quite good as well.

Incentivized

• It would be better if its available for cross platforms.
• Pricing could be adjusted better.
• More number of third party add-ons required.

Incentivized

• Support is just OK, like most of the other IBM Watson products. The setup/integration is really hands-on, but it's also problematic because support later may take a considerable amount of time.
• UI could still use a little more improvement - part of the administration and sources dashboards are hard to navigate.
• The Application Builder is a great part of the product, but hard to learn/understand - this is where we needed the most support from IBM and tutorials/documentation.

Incentivized

Perhaps the biggest advantage of IBM Watson Content Analytics is the IBM feel. I think IBM puts lots of resources into developing products that even sociologists can use. It's so easy, that to professionals wanting customized analysis, it might be kind of offensive. The drawback is that Content Analytics is not as fast as its competitors.

Incentivized

Google Cloud offers a Natural Language product, but it is just an API. This API doesn't offer the useful visualizations of relations, analytics, and graphs that IBM Watson Explorer offers on their interface. For this reason, we chose to go with IBM WEX. For later stages of our production, we decided to use Google's NLP API because we found that it was quick to integrate into production after studying data and developing models using IBM WEX.

Incentivized

• Organized, easy to produce search results.
• Never lose a document again.

Incentivized

• Positive - Trial/demo period. This was really useful for us to figure out what features of WEX we liked most and how difficult it would be to integrate WEX into our workflow.
• Negative - On-boarding was long and almost always requires support from IBM support, unlike most other products this advanced.
• Positive - WEX replaced a large selection of alternative products we would have to use for the same functionality, and having all of that function in one place was definitely helpful.

Incentivized