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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    Microsoft Azure

    Score8.5 out of 10
    N/AMicrosoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.

    $29

    per month

    Pricing
    KNIME Analytics PlatformMicrosoft Azure
    Editions & Modules
    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
    Developer
    $29
    per month
    Standard
    $100
    per month
    Professional Direct
    $1000
    per month
    Basic
    Free
    per month
    Offerings
    Pricing Offerings
    KNIME Analytics PlatformMicrosoft Azure
    Free Trial
    NoYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsThe free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
    More Pricing Information
    Community Pulse
    KNIME Analytics PlatformMicrosoft Azure
    Considered Both Products
    KNIME
    No answer on this topic
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    16 Answers
    92%
    Would buy again
    33 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    16 Answers
    94%
    Delivers good value for the price
    30 Answers
    Happy with the feature set
    94%
    Happy with the feature set
    16 Answers
    94%
    Happy with the feature set
    34 Answers
    Lived up to sales and marketing promises
    83%
    Lived up to sales and marketing promises
    10 Answers
    89%
    Lived up to sales and marketing promises
    24 Answers
    Implementation went as expected
    93%
    Implementation went as expected
    14 Answers
    94%
    Implementation went as expected
    34 Answers
    Features
    KNIME Analytics PlatformMicrosoft Azure
    Platform Connectivity
    Comparison of Platform Connectivity features of KNIME Analytics Platform and Microsoft Azure
    Feature
    KNIME Analytics Platform
    9.2
    19 Ratings
    10% above category average
    Microsoft Azure
    -
    Ratings
    Connect to Multiple Data Sources9.619 Ratings00 Ratings
    Extend Existing Data Sources10.010 Ratings00 Ratings
    Automatic Data Format Detection9.119 Ratings00 Ratings
    MDM Integration7.98 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of KNIME Analytics Platform and Microsoft Azure
    Feature
    KNIME Analytics Platform
    8.1
    18 Ratings
    3% below category average
    Microsoft Azure
    -
    Ratings
    Visualization8.018 Ratings00 Ratings
    Interactive Data Analysis8.118 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of KNIME Analytics Platform and Microsoft Azure
    Feature
    KNIME Analytics Platform
    8.3
    19 Ratings
    2% above category average
    Microsoft Azure
    -
    Ratings
    Interactive Data Cleaning and Enrichment9.019 Ratings00 Ratings
    Data Transformations9.519 Ratings00 Ratings
    Data Encryption7.47 Ratings00 Ratings
    Built-in Processors7.48 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of KNIME Analytics Platform and Microsoft Azure
    Feature
    KNIME Analytics Platform
    8.0
    18 Ratings
    5% below category average
    Microsoft Azure
    -
    Ratings
    Multiple Model Development Languages and Tools9.517 Ratings00 Ratings
    Automated Machine Learning8.117 Ratings00 Ratings
    Single platform for multiple model development9.318 Ratings00 Ratings
    Self-Service Model Delivery5.08 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of KNIME Analytics Platform and Microsoft Azure
    Feature
    KNIME Analytics Platform
    7.3
    11 Ratings
    16% below category average
    Microsoft Azure
    -
    Ratings
    Flexible Model Publishing Options8.611 Ratings00 Ratings
    Security, Governance, and Cost Controls5.94 Ratings00 Ratings
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of KNIME Analytics Platform and Microsoft Azure
    Feature
    KNIME Analytics Platform
    -
    Ratings
    Microsoft Azure
    8.5
    19 Ratings
    6% above category average
    Service-level Agreement (SLA) uptime00 Ratings9.018 Ratings
    Dynamic scaling00 Ratings8.018 Ratings
    Elastic load balancing00 Ratings9.017 Ratings
    Pre-configured templates00 Ratings8.017 Ratings
    Monitoring tools00 Ratings8.418 Ratings
    Pre-defined machine images00 Ratings8.016 Ratings
    Operating system support00 Ratings8.918 Ratings
    Security controls00 Ratings9.018 Ratings
    Automation00 Ratings8.016 Ratings
    User Ratings
    KNIME Analytics PlatformMicrosoft Azure
    Likelihood to Recommend
    9.6
    (22 ratings)
    8.9
    (88 ratings)
    Likelihood to Renew
    9.5
    (4 ratings)
    10.0
    (16 ratings)
    Usability
    9.0
    (3 ratings)
    9.4
    (28 ratings)
    Availability
    -
    (0 ratings)
    6.8
    (2 ratings)
    Support Rating
    9.3
    (6 ratings)
    8.1
    (28 ratings)
    Implementation Rating
    7.0
    (2 ratings)
    8.0
    (2 ratings)
    Ease of integration
    10.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    KNIME Analytics PlatformMicrosoft Azure
    Likelihood to Recommend
    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
    Read full review
    Microsoft
    Azure is particularly well suited for enterprise environments with existing Microsoft investments, those that require robust compliance features, and organizations that need hybrid cloud capabilities that bridge on-premises and cloud infrastructure. In my opinion, Azure is less appropriate for cost-sensitive startups or small businesses without dedicated cloud expertise and scenarios requiring edge computing use cases with limited connectivity. Azure offers comprehensive solutions for most business needs but can feel like there is a higher learning curve than other cloud-based providers, depending on the product and use case.
    Read full review
    Pros
    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
    Microsoft
    • Microsoft Azure is highly scalable and flexible. You can quickly scale up or down additional resources and computing power.
    • You have no longer upfront investments for hardware. You only pay for the use of your computing power, storage space, or services.
    • The uptime that can be achieved and guaranteed is very important for our company. This includes the rapid maintenance for security updates that are mostly carried out by Microsoft.
    • The wide range of capabilities of services that are possible in Microsoft Azure. You can practically put or create anything in Microsoft Azure.
    Incentivized
    Read full review
    Cons
    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
    Microsoft
    • The cost of resources is difficult to determine, technical documentation is frequently out of date, and documentation and mapping capabilities are lacking.
    • The documentation needs to be improved, and some advanced configuration options require research and experimentation.
    • Microsoft's licensing scheme is too complex for the average user, and Azure SQL syntax is too different from traditional SQL.
    Read full review
    Likelihood to Renew
    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
    Microsoft
    Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.
    Read full review
    Usability
    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
    Read full review
    Microsoft
    As Microsoft Azure is [doing a] really good with PaaS. The need of a market is to have [a] combo of PaaS and IaaS. While AWS is making [an] exceptionally well blend of both of them, Azure needs to work more on DevOps and Automation stuff. Apart from that, I would recommend Azure as a great platform for cloud services as scale.
    Incentivized
    Read full review
    Reliability and Availability
    KNIME
    No answers on this topic
    Microsoft
    It has proven to be unreliable in our production environment and services become unavailable without proper notification to system administrators
    Incentivized
    Read full review
    Support Rating
    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
    Read full review
    Microsoft
    We were running Windows Server and Active Directory, so [Microsoft] Azure was a seamless transition. We ran into a few, if any support issues, however, the availability of Microsoft Azure's support team was more than willing and able to guide us through the process. They even proposed solutions to issues we had not even thought of!
    Incentivized
    Read full review
    Implementation Rating
    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
    Read full review
    Microsoft
    As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
    Read full review
    Alternatives Considered
    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
    Read full review
    Microsoft
    As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" platform for cloud. However, Azure PowerShell is helping close this gap. Google Cloud is the leading containerization platform, largely thanks to it building kubernetes from the ground up. Azure containerization is getting better at having the same storage/deployment options.
    Incentivized
    Read full review
    Return on Investment
    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
    Microsoft
    • For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
    • DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
    • Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.
    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.