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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Watson Discovery

    Score9 out of 10
    N/AIBM offers Watson Discovery, a natural language processing (NLP) application with options to measure sentiment, detect entities, semantic roles, and other concepts.N/A

    KNIME Analytics Platform

    Score7.8 out of 10
    N/AKNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.

    $0

    per month

    Pricing
    IBM Watson DiscoveryKNIME Analytics Platform
    Editions & Modules
    No answers on this topic
    KNIME Community Hub Personal Plan
    $0
    KNIME Analytics Platform
    $0
    KNIME Community Hub Team Plan
    €99
    per month 3 users
    KNIME Business Hub
    From €35,000
    per year
    Offerings
    Pricing Offerings
    IBM Watson DiscoveryKNIME Analytics Platform
    Free Trial
    YesNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM Watson DiscoveryKNIME Analytics Platform
    Considered Both Products
    IBM
    No answer on this topic
    KNIME
    No answer on this topic
    Key User Insights
    Would buy again
    81%
    Would buy again
    21 Answers
    94%
    Would buy again
    16 Answers
    Delivers good value for the price
    74%
    Delivers good value for the price
    14 Answers
    100%
    Delivers good value for the price
    16 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    26 Answers
    94%
    Happy with the feature set
    16 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    18 Answers
    83%
    Lived up to sales and marketing promises
    10 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    23 Answers
    93%
    Implementation went as expected
    14 Answers
    Features
    IBM Watson DiscoveryKNIME Analytics Platform
    Platform Connectivity
    Comparison of Platform Connectivity features of IBM Watson Discovery and KNIME Analytics Platform
    Feature
    IBM Watson Discovery
    -
    Ratings
    KNIME Analytics Platform
    9.2
    19 Ratings
    10% above category average
    Connect to Multiple Data Sources00 Ratings9.619 Ratings
    Extend Existing Data Sources00 Ratings10.010 Ratings
    Automatic Data Format Detection00 Ratings9.119 Ratings
    MDM Integration00 Ratings7.98 Ratings
    Data Exploration
    Comparison of Data Exploration features of IBM Watson Discovery and KNIME Analytics Platform
    Feature
    IBM Watson Discovery
    -
    Ratings
    KNIME Analytics Platform
    8.1
    18 Ratings
    4% below category average
    Visualization00 Ratings8.018 Ratings
    Interactive Data Analysis00 Ratings8.118 Ratings
    Data Preparation
    Comparison of Data Preparation features of IBM Watson Discovery and KNIME Analytics Platform
    Feature
    IBM Watson Discovery
    -
    Ratings
    KNIME Analytics Platform
    8.3
    19 Ratings
    2% above category average
    Interactive Data Cleaning and Enrichment00 Ratings9.019 Ratings
    Data Transformations00 Ratings9.519 Ratings
    Data Encryption00 Ratings7.47 Ratings
    Built-in Processors00 Ratings7.48 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of IBM Watson Discovery and KNIME Analytics Platform
    Feature
    IBM Watson Discovery
    -
    Ratings
    KNIME Analytics Platform
    8.0
    18 Ratings
    6% below category average
    Multiple Model Development Languages and Tools00 Ratings9.517 Ratings
    Automated Machine Learning00 Ratings8.117 Ratings
    Single platform for multiple model development00 Ratings9.318 Ratings
    Self-Service Model Delivery00 Ratings5.08 Ratings
    Model Deployment
    Comparison of Model Deployment features of IBM Watson Discovery and KNIME Analytics Platform
    Feature
    IBM Watson Discovery
    -
    Ratings
    KNIME Analytics Platform
    7.3
    11 Ratings
    15% below category average
    Flexible Model Publishing Options00 Ratings8.611 Ratings
    Security, Governance, and Cost Controls00 Ratings5.94 Ratings
    Best Alternatives
    IBM Watson DiscoveryKNIME Analytics Platform
    Small Businesses
    Elasticsearch
    Score8.5 out of 10
    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    Elasticsearch
    Score8.5 out of 10
    Anaconda
    Score8.8 out of 10
    Enterprises
    Amazon CloudSearch
    Score8.5 out of 10
    IBM Watson Studio
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM Watson DiscoveryKNIME Analytics Platform
    Likelihood to Recommend
    8.3
    (26 ratings)
    9.6
    (22 ratings)
    Likelihood to Renew
    9.1
    (2 ratings)
    9.5
    (4 ratings)
    Usability
    4.8
    (3 ratings)
    9.0
    (3 ratings)
    Support Rating
    10.0
    (2 ratings)
    9.3
    (6 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.0
    (2 ratings)
    Ease of integration
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    IBM Watson DiscoveryKNIME Analytics Platform
    Likelihood to Recommend
    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.
    Incentivized
    Read full review
    KNIME
    KNIME Analytics Platform is excellent for people who are finding Excel frustrating, this can be due to errors creeping in due to manual changes or simply that there are too many calculations which causes the system to slow down and crash. This is especially true for regular reporting where a KNIME Analytics Platform workflow can pull in the most recent data, process it and provide the necessary output in one click. I find KNIME Analytics Platform especially useful when talking with audiences who are intimidated by code. KNIME Analytics Platform allows us to discuss exactly how data is processed and an analysis takes place at an abstracted level where non-technical users are happy to think and communicate which is often essential when they are subject matter experts whom you need for guidance. For experienced programmers KNIME Analytics Platform is a double-edged sword. Often programmers wish to write their own code because they are more efficient working that way and are constrained by having to think and implement work in nodes. However, those constraints forcing development in a "KNIME way" are useful when working in teams and for maintenance compared to some programmers' idiosyncratic styles.
    Incentivized
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    Pros
    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.
    Incentivized
    Read full review
    KNIME
    • Summarize instrument level financial data with relevant statistics
    • Map transactions from core extracts to groups of like transactions using rule engines
    • Machine learning using random forests and other techniques to analyze data and identify correlations for use in predictive models
    • Fill out sampling data from averages.
    Read full review
    Cons
    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.
    Incentivized
    Read full review
    KNIME
    • It does not have proper visualization.
    • Some other BI tools (QlikView) have much easier functions for data interaction.
    • Some other BI tools (Tableau) can be set up much faster.
    • It is not an easy tool to use for non-tech savvy staff.
    Incentivized
    Read full review
    Likelihood to Renew
    IBM
    No answers on this topic
    KNIME
    We are happy with Knime product and their support. Knime AP is versatile product and even can execute Python scripts if needed. It also supports R execution as well; however, it is not being used at our end
    Read full review
    Usability
    IBM
    IBM Watson Discovery has the best user capabilities and easily transform business decision-making portfolio. The automation system saves time used in data analysis as opposed to manual research that consumes a lot of time. The visualization across the dashboard enables my team to interpret complex data and use it to make reliable marketing decisions.
    Incentivized
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    KNIME
    KNIME Analytics Platform offers a great tradeoff between intuitiveness and simplicity of the user interface and almost limitless flexibility. There are tools that are even easier to adopt by someone new to analytics, but none that would provide the scalability of KNIME when the user skills and application complexity grows
    Incentivized
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    Support Rating
    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.
    Incentivized
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    KNIME
    KNIME's HQ is in Europe, which makes it hard for US companies to get customer service in time and on time. Their customer service also takes on average 1 to 2 weeks to follow up with your request. KNIME's documentation is also helpful but it does not provide you all the answers you need some of the time.
    Incentivized
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    Implementation Rating
    IBM
    No answers on this topic
    KNIME
    KNIME Analytics Platform is easy to install on any Windows, Mac or Linux machine. The KNIME Server product that is currently being replaced by the KNIME Business Hub comes as multiple layers of software and it took us some time to set up the system right for stability. This was made harder by KNIME staff's deeper expertise in setting up the Server in Linux rather than Windows environment. The KNIME Business Hub promises to have a simpler architecture, although currently there is no visibility of a Windows version of the product.
    Incentivized
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    Alternatives Considered
    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).
    Incentivized
    Read full review
    KNIME
    Having used both the Alteryx and [KNIME Analytics] I can definitely feel the ease of using the software of Alteryx. The [KNIME Analytics] on the other hand isn't that great but is 90% of what Alteryx can do along with how much ease it can do. Having said that, the 90% functionality and UI at no cost would be enough for me to quit using Alteryx and move towards [KNIME Analytics].
    Incentivized
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    Return on Investment
    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?
    Incentivized
    Read full review
    KNIME
    • It is suited for data mining or machine learning work but If we're looking for advanced stat methods such as mixed effects linear/logistics models, that needs to be run through an R node.
    • Thinking of our peers with an advanced visualization techniques requirement, it is a lagging product.
    Incentivized
    Read full review
    ScreenShots

    KNIME Analytics Platform Screenshots

    Screenshot of the KNIME Modern UI. This is the the new user interface for the KNIME Analytics Platform that is available with improved look and feel as the default interface, from KNIME Analytics Platform version 5.1.0 release.Screenshot of the KNIME Analytics Platform user interface - the KNIME Workbench - displays the current, open workflow(s). Here is the general user interface layout — application tabs, side panel, workflow editor and node monitor.Screenshot of the KNIME user interface elements — workflow toolbar, node action bar, rename components and metanodes.Screenshot of the entry page, which is displayed by clicking the Home tab. From here users can; check out example workflows to get started, access a local workspace, or even start a new workflow by clicking the yellow plus button.Screenshot of the status of a KNIME node, which shows whether it's configured, not configured, executed, or has an error.Screenshot of the KNIME node action bar, which can be used to configure, execute, cancel, reset, and - when available - open the view.