IBM Cloud Pak for Data vs. IBM Watson Discovery

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Cloud Pak for Data
Score 8.9 out of 10
N/A
IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.N/A
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
IBM Cloud Pak for DataIBM Watson Discovery
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Cloud Pak for DataIBM Watson Discovery
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM Cloud Pak for DataIBM Watson Discovery
Top Pros
Top Cons
Best Alternatives
IBM Cloud Pak for DataIBM Watson Discovery
Small Businesses
Egnyte
Egnyte
Score 7.6 out of 10
Algolia
Algolia
Score 8.9 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Guru
Guru
Score 9.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Guru
Guru
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM Cloud Pak for DataIBM Watson Discovery
Likelihood to Recommend
9.0
(13 ratings)
9.5
(22 ratings)
Likelihood to Renew
9.1
(2 ratings)
9.1
(2 ratings)
Usability
-
(0 ratings)
7.0
(1 ratings)
Support Rating
-
(0 ratings)
10.0
(2 ratings)
User Testimonials
IBM Cloud Pak for DataIBM Watson Discovery
Likelihood to Recommend
IBM
IBM Cloud Pak for Data with Netezza is well suited for clients who require fast, economical analytics processing. It is not designed to be used as a transactional processing environment. For example, a large customer is using it during the point of sale process. That makes little sense in that business case. However, to take analysis to market faster, it excels well in that space.
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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
IBM
  • I really like the AI and ML which enables us to source data in different sources for easy data-driven decisions.
  • It's a cloud tool that keeps all our data safe, backed up ahs obtainable at any time without being exposed to any kind of risks or loss.
  • I like the fact that ICP is main based on open source stack which adds value to products like VA or MCM.
  • IBM support service is great and top-class.
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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
IBM
  • This offering is currently available on prem, in Azure, and soon in AWS. GCP availability will be in the future as there is demand in the marketplace
  • The on premise offering starts with a Base + 0 model, which is a significant appliance. There are no 'mini' offerings as there were in the past.
  • At Destiny, we work closely with IBM to help our clients perform budgetary planning.
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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
IBM
No answers on this topic
IBM
Powerful insights with a little bit of a learning curve
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Support Rating
IBM
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
IBM
Generally this tool has been very helpful and innovative because increase our workflow and collaboration using integrated multi-cloud platform. It also enables us to deploy in any flexible way like on-premises or cloud which saves time and hard disk space. It also enables us to connect, catalog, govern, transform and analyze data regardless of the area.
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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
IBM
  • IBM Cloud helps us to manage data speed across every distributed stores and clouds.
  • Acts as a single unified tool which brings all our data in one place where it's safe and easy to access.
  • Enables all of our data users to collaborate from a single, unified interface that supports many services that are designed to work seamless.
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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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ScreenShots