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Gemini Enterprise Agent Platform vs. KNIME Analytics Platform

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Gemini Enterprise Agent Platform

    Score8.9 out of 10
    N/AThe Gemini Enterprise Agent Platform is a fully-managed, unified environment designed for the development, orchestration, and governance of Autonomous AI Agents. The platform consolidates AI Studio, Agent Builder, and a diverse Model Garden to support the creation of complex, multi-agent systems grounded in enterprise data and business logic.

    $0

    Starting at

    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
    Gemini Enterprise Agent PlatformKNIME Analytics Platform
    Editions & Modules
    Imagen model for image generation
    $0.0001
    Starting at
    Text, chat, and code generation
    $0.0001
    per 1,000 characters
    Text data upload, training, deployment, prediction
    $0.05
    per hour
    Video data training and prediction
    $0.462
    per node hour
    Image data training, deployment, and prediction
    $1.375
    per node hour
    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
    Gemini Enterprise Agent PlatformKNIME Analytics Platform
    Free Trial
    YesNo
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional DetailsPricing is based on the Vertex AI tools and services, storage, compute, and Google Cloud resources used.—
    More Pricing Information
    Community Pulse
    Gemini Enterprise Agent PlatformKNIME Analytics Platform
    Considered Both Products
    Google
    No answer on this topic
    KNIME
    No answer on this topic
    Key User Insights
    Would buy again
    93%
    Would buy again
    14 Answers
    94%
    Would buy again
    16 Answers
    Delivers good value for the price
    92%
    Delivers good value for the price
    12 Answers
    100%
    Delivers good value for the price
    16 Answers
    Happy with the feature set
    87%
    Happy with the feature set
    13 Answers
    94%
    Happy with the feature set
    16 Answers
    Lived up to sales and marketing promises
    78%
    Lived up to sales and marketing promises
    7 Answers
    83%
    Lived up to sales and marketing promises
    10 Answers
    Implementation went as expected
    86%
    Implementation went as expected
    12 Answers
    93%
    Implementation went as expected
    14 Answers
    Features
    Gemini Enterprise Agent PlatformKNIME Analytics Platform
    AI Development
    Comparison of AI Development features of Gemini Enterprise Agent Platform and KNIME Analytics Platform
    Feature
    Gemini Enterprise Agent Platform
    8.6
    2 Ratings
    14% above category average
    KNIME Analytics Platform
    -
    Ratings
    Machine learning frameworks8.62 Ratings00 Ratings
    Data management9.12 Ratings00 Ratings
    Data monitoring and version control8.22 Ratings00 Ratings
    Automated model training9.12 Ratings00 Ratings
    Managed scaling7.72 Ratings00 Ratings
    Model deployment8.62 Ratings00 Ratings
    Security and compliance8.62 Ratings00 Ratings
    Platform Connectivity
    Comparison of Platform Connectivity features of Gemini Enterprise Agent Platform and KNIME Analytics Platform
    Feature
    Gemini Enterprise Agent Platform
    -
    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 Gemini Enterprise Agent Platform and KNIME Analytics Platform
    Feature
    Gemini Enterprise Agent Platform
    -
    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 Gemini Enterprise Agent Platform and KNIME Analytics Platform
    Feature
    Gemini Enterprise Agent Platform
    -
    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 Gemini Enterprise Agent Platform and KNIME Analytics Platform
    Feature
    Gemini Enterprise Agent Platform
    -
    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 Gemini Enterprise Agent Platform and KNIME Analytics Platform
    Feature
    Gemini Enterprise Agent Platform
    -
    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
    Gemini Enterprise Agent PlatformKNIME Analytics Platform
    Small Businesses
    Saturn Cloud
    Score7.8 out of 10
    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    DataRobot
    Score8.2 out of 10
    Anaconda
    Score8.8 out of 10
    Enterprises
    DataRobot
    Score8.2 out of 10
    IBM Watson Studio
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Gemini Enterprise Agent PlatformKNIME Analytics Platform
    Likelihood to Recommend
    7.6
    (15 ratings)
    9.6
    (22 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.5
    (4 ratings)
    Usability
    -
    (0 ratings)
    9.0
    (3 ratings)
    Performance
    7.6
    (12 ratings)
    -
    (0 ratings)
    Support Rating
    -
    (0 ratings)
    9.3
    (6 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.0
    (2 ratings)
    Configurability
    7.8
    (12 ratings)
    -
    (0 ratings)
    Ease of integration
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Gemini Enterprise Agent PlatformKNIME Analytics Platform
    Likelihood to Recommend
    Google
    we used Vertex AI on our automation process the model very useful and working as expected we have implemented in our monitoring phase this very helpful our analysis part. real time response is very effective and actively provide detailed overview about our products.this phase is well suited in our org. this model could not applicable for small level projects why because this model not needed for small level projects and without related resource of ML this model not useful. strictly on non cloud org not suitable means on pram not suitable
    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
    Read full review
    Pros
    Google
    • Vertex AI comes with support for LOTs of LLMs out of the box
    • MLOps tools are available that help to standardize operational aspects
    • Document AI is an out of the box feature that works just perfectly for our use cases of automating lots to tedious data extraction tasks from images as well as papers
    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
    Google
    • Customization of AutoML models - A must needed capability to be able to tweak hyperparameters and also working with different models
    • Model Explainability -Providing more comprehensive explanations about how models are utilizing features could be very beneficial
    • Model versioning and experiments tracking - Enhancing the versioning capability could be good for end users
    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
    Google
    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
    Google
    No answers on this topic
    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
    Performance
    Google
    Google is always top notch with their security and user interface performance. We use Google's entire suite in our business anyways, so using Vertex became second nature very quickly. I will say, though, that Google does need to come down on the price somewhat with their token allocation. Also, their UI is very robust, so it does require some time for training to really master it.
    Incentivized
    Read full review
    KNIME
    No answers on this topic
    Support Rating
    Google
    No answers on this topic
    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
    Implementation Rating
    Google
    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
    Read full review
    Alternatives Considered
    Google
    We tend to adapt and use the platform that suits the customers needs the best. We return to Vertex AI because it is the most in-depth option out there so we can configure it any which way they want. However, it is not quick to market and constantly changing or updating it's feature-set. This makes it suitable for bigger customers that have the capital and time to spend on a bigger project that is well researched and not quick to market like some of the other options that feel like a light-version of this.
    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
    Read full review
    Return on Investment
    Google
    • It is pay as you go model so it'll save more cost of your org. In our case previously we used to incurred 1-2L/Month now we are reduced it to 80k-1L.
    • It'll help you save your model training & model selection time as it provides pre-trained models in autoML.
    • It'll help you in terms of Security wherein we can use row level security access to authorized persons.
    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

    Gemini Enterprise Agent Platform Screenshots

    Screenshot of an introduction to generative AI on Vertex AI - Vertex AI Studio offers a Google Cloud console tool for rapidly prototyping and testing generative AI models.Screenshot of gen AI for summarization, classification, and extraction - Text prompts can be created to handle any number of tasks with Vertex AI’s generative AI support. Some of the most common tasks are classification, summarization, and extraction. Vertex AI’s PaLM API for text can be used to design prompts with flexibility in terms of their structure and format.Screenshot of Custom ML training overview and documentation - An overview of the custom training workflow in Vertex AI, the benefits of custom training, and the various training options that are available. This page also details every step involved in the ML training workflow from preparing data to predictions.Screenshot of ML model training and creation -  A guide that shows how Vertex AI’s AutoML is used to create and train custom machine learning models with minimal effort and machine learning expertise.Screenshot of deployment for batch or online predictions - When using a model to solve a real-world problem, the Vertex AI prediction service can be used for batch and online predictions.

    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.