We performed a comparison between IBM Watson Discovery and OpenText IDOL based on real PeerSpot user reviews.
Find out what your peers are saying about Elastic, IBM, OpenText and others in Indexing and Search."The most valuable features of IBM Watson Discovery are the integration with the rest of the Watson Suite and the Watson Assistant capability. If you use Watson Assistant, the ability for it to be able to determine the accuracy of your voice models and your voice response systems is a benefit."
"The most valuable feature of IBM Watson Discovery is testing, mainly because the product applies conversational AI, which means I can ask questions to get the information I want from a specific test area."
"Language support and the ability to build a natural language of speech recognition are the most valuable features."
"Being able to have some rules to extract the entities is valuable. The capability to crawl external sites and internal documents, and then draw internal information with external contents is also valuable."
"IDOL has several important visual analytics, like face recognition and object detection and recognition."
"There are probably other chatbots out there that were built for specific use cases and are easier to deploy than this. Having said that, Watson is way more flexible. While it may require a greater amount of effort, it is not substantially more than some of the other ones that are kind of prebuilt for a specific use case. It would be good to have more prebuilt and specific use cases and specific business models. It can have better phone integration, even though I think that it is actually becoming less of an issue. Most people are online nowadays."
"The pricing is an area for improvement in IBM Watson Discovery because the customer initially used the free version. Still, when he needed more questions and documents, he had to move to a different version, which was paid and cost $500 per month. That change in pricing made my company lose many customers."
"The support from IBM Watson Discovery is good but could improve to make it great."
"It needs a lot of memory. Our index is very big. It is around 100 gigabytes. So, we need more than 100 gigabytes of memory to use Watson."
"There is room for improvement in some very important capabilities in visual analytics. They have been focusing on improving the face recognition algorithm. The accuracy of object detection could be improved as well and I know they are working on that at the moment."
IBM Watson Discovery is ranked 2nd in Indexing and Search with 4 reviews while OpenText IDOL is ranked 3rd in Indexing and Search with 5 reviews. IBM Watson Discovery is rated 7.8, while OpenText IDOL is rated 8.4. The top reviewer of IBM Watson Discovery writes "Beneficial accuracy reports, highly scalable, and simple initial setup". On the other hand, the top reviewer of OpenText IDOL writes "Scales linearly and vertically; primarily used in AI". IBM Watson Discovery is most compared with Elastic Search and Microsoft FAST, whereas OpenText IDOL is most compared with Elastic Search and Lucene.
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