Elastic Enterprise Search vs. IBM Watson Discovery

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Elastic Enterprise Search
Score 7.0 out of 10
N/A
Elastic Enterprise Search Swiftype is a platform with modules for Site Search, App Search and Workplace Search, that boasts powering search for thousands of enterprises and websites. The services were developed by Swiftype and acquired by Elastic in late 2017. Powered by Elasticsearch, the vendor states Elastic Enterprise Search is fast, with proven, optimized relevance models designed for real-life, natural search.
$79
per month
IBM Watson Discovery
Score 9.0 out of 10
N/A
IBM offers Watson Discovery, a natural language processing (NLP) application with options to measure sentiment, detect entities, semantic roles, and other concepts.N/A
Pricing
Elastic Enterprise SearchIBM Watson Discovery
Editions & Modules
Standard
$79
per month
Pro
$199
per month
Premium
Custom
No answers on this topic
Offerings
Pricing Offerings
Elastic Enterprise SearchIBM Watson Discovery
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Elastic Enterprise SearchIBM Watson Discovery
Top Pros
Top Cons
Best Alternatives
Elastic Enterprise SearchIBM Watson Discovery
Small Businesses
Algolia
Algolia
Score 8.9 out of 10
Algolia
Algolia
Score 8.9 out of 10
Medium-sized Companies
Guru
Guru
Score 9.0 out of 10
Guru
Guru
Score 9.0 out of 10
Enterprises
Guru
Guru
Score 9.0 out of 10
Guru
Guru
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Elastic Enterprise SearchIBM Watson Discovery
Likelihood to Recommend
8.1
(2 ratings)
9.5
(22 ratings)
Likelihood to Renew
-
(0 ratings)
9.1
(2 ratings)
Usability
-
(0 ratings)
7.0
(1 ratings)
Support Rating
-
(0 ratings)
10.0
(2 ratings)
User Testimonials
Elastic Enterprise SearchIBM Watson Discovery
Likelihood to Recommend
Elastic
Swiftype is excellent for e-commerce companies and especially the financial services sector where speed plays a major role in executing transactions. It is also very dynamic and customizable. It is very useful for electronics/travel reservations on e-commerce sites also. The only place it is inappropriate is when it comes to indexing a website in which case Google is slightly better, as I mentioned before. There is nothing much to complain about here in regards to the breadth of applications and analytics it offers.
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IBM
Overall, IBM Watson Discovery is an amazing technology that we use with our clients to address various business problems, but the biggest challenge has always been about ingesting, analyzing, enriching, and searching huge collections of documents and allowing our end users and SMEs to be able to search for what they need to reduce the time and efforts spent daily on a manual search through various collections of documents. We have successfully managed to reduce manual work by over 80%, and now our SMEs are being used for the skills they have to gather insights rather than do manual work.
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Pros
Elastic
  • It's very easy to implement. The documentation is great and you can be up and running very quickly.
  • It's easy to configure. The web-based user interface makes it super simple to configure (i.e. customize search rankings, edit synonyms, etc.).
  • Their support is very friendly and helpful. Whenever I had a question or couldn't figure something old, they were quick to help me out.
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IBM
  • It is an excellently fast platform with documents and the answers to queries.
  • With automation learning beneficial as it saves time.
  • When searching for a document, everything stays located and easy to find.
  • Acceptance of various documents.
  • It has a quite comfortable Technical support, always available when required.
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Cons
Elastic
  • Swiftype does not have indexes ready to go. When you add a new website to the search set, it takes some time to index the website. This is something that is different from what Google does. Google in this particular aspect does a relatively better job.
  • Swiftype is very expensive, this makes it difficult for smaller companies to afford.
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IBM
  • I believe AI should be more flexible about providing data. However, it's understandable that you need to provide the details you need in a more specific and detailed way.
  • The interface could use more tweaking. Being new to the program, it was kind of hard to navigate.
  • Luckily, there was a customized feature of the dashboard that I could set up, and having something that you know where you are placed always feels familiar and comfortable.
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Usability
Elastic
No answers on this topic
IBM
Powerful insights with a little bit of a learning curve
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Support Rating
Elastic
No answers on this topic
IBM
Similar to all IBM Watson and Salesforce product solutions, the overall support would be a 10/10. Their provided FAQ's help with frequently experienced issues and if still unable to figure something out, their customer service representatives are always super responsive. With instant chat functions available, it is easy to ask a quick question rather than sitting on hold.
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Alternatives Considered
Elastic
Google Search Appliance is no longer supported. Apache Solr is a popular, free open source solution, but it lacks a web crawler and is more difficult to configure and maintain.
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IBM
Discovery differs from its competitors due to the better ease of implementation and the high level of natural language recognition, it is equal in integration resources such as API and workflow or process pipeline, but it loses in the price for a high volume of documents and/or research. If you own or plan to use other services from the IBM Watson family, there is no doubt that Watson discovery is your best option. Another important point is if you plan to use a cloud or on-premise service (local server or private cloud).
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Return on Investment
Elastic
  • It has a positive impact as it helps traders and other users to seamlessly use applications.
  • It has a positive ROI and we would know the results in time to come.
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IBM
  • We find its Enterprise plan expensive for a country of LATAM. For US or Europe based businesses, looks great.
  • A Big Data and massive queries based company would find the service expensive. Maybe a flat price plan would be helpful.
  • Have you thought in making a cheaper plan where you take the learning from your customer's data to enrich your AI tool?
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