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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Iguazio

    Score10 out of 10
    N/AIguazio, headquartered in Herzliya, provides a Data Science Platform to automate machine learning pipelines. It aims to accelerate the development, deployment and management of AI applications at scale, enabling data scientists to focus on delivering better, more accurate and more powerful solutions instead of spending their time on infrastructure. The platform is open and deployable anywhere - multi-cloud, on prem or edge. The vendor states Iguazio powers real-time data science applications for…N/A

    Shakudo Platform

    Score6 out of 10
    N/AThe Shakudo platform ensures compatibility across data tools to allow companies to build the best data infrastructure for their needs. It supports over 60 popular data tools, and enables users to create the optimal data stack for any custom needs, and helps users to create a more reliable and performant stack. And it helps users to: Build a stack that works precisely for the company without worrying about maintenance costs or stability Using a single UI, let teams use and gain…N/A
    Pricing
    IguazioShakudo Platform
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IguazioShakudo Platform
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Features
    IguazioShakudo Platform
    Platform Connectivity
    Comparison of Platform Connectivity features of Iguazio and Shakudo Platform
    Feature
    Iguazio
    9.9
    2 Ratings
    17% above category average
    Shakudo Platform
    -
    Ratings
    Connect to Multiple Data Sources10.02 Ratings00 Ratings
    Extend Existing Data Sources10.02 Ratings00 Ratings
    Automatic Data Format Detection10.02 Ratings00 Ratings
    MDM Integration9.52 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Iguazio and Shakudo Platform
    Feature
    Iguazio
    9.7
    2 Ratings
    15% above category average
    Shakudo Platform
    -
    Ratings
    Visualization9.52 Ratings00 Ratings
    Interactive Data Analysis10.02 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Iguazio and Shakudo Platform
    Feature
    Iguazio
    9.7
    2 Ratings
    17% above category average
    Shakudo Platform
    -
    Ratings
    Interactive Data Cleaning and Enrichment10.02 Ratings00 Ratings
    Data Transformations9.52 Ratings00 Ratings
    Data Encryption9.52 Ratings00 Ratings
    Built-in Processors10.02 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Iguazio and Shakudo Platform
    Feature
    Iguazio
    9.7
    2 Ratings
    15% above category average
    Shakudo Platform
    -
    Ratings
    Multiple Model Development Languages and Tools10.02 Ratings00 Ratings
    Automated Machine Learning9.52 Ratings00 Ratings
    Single platform for multiple model development10.02 Ratings00 Ratings
    Self-Service Model Delivery9.52 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Iguazio and Shakudo Platform
    Feature
    Iguazio
    9.7
    2 Ratings
    13% above category average
    Shakudo Platform
    -
    Ratings
    Flexible Model Publishing Options10.02 Ratings00 Ratings
    Security, Governance, and Cost Controls9.52 Ratings00 Ratings
    Best Alternatives
    IguazioShakudo Platform
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    Anaconda
    Score8.1 out of 10
    Anaconda
    Score8.1 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    IBM Watson Studio
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IguazioShakudo Platform
    Likelihood to Recommend
    10.0
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    IguazioShakudo Platform
    Likelihood to Recommend
    Iguazio
    With Iguazio we are able to scale up our organisations AI infrastructure which us vital to meet business goals and accelerate time-to-time. We are also able to manage our ML pipeline end-to-end using a full-stack,user-friendly environment, feature-rich integrated feature store and powerful data transformation and real-time feature engineering capabilities.
    Incentivized
    Read full review
    Shakudo
    No answers on this topic
    Pros
    Iguazio
    • Dynamic scaling capacity.
    • Central Metadata management.
    • Data ingestion and preparation.
    Incentivized
    Read full review
    Shakudo
    No answers on this topic
    Cons
    Iguazio
    • The user interface is not so much user-friendly, and easy-to-use, navigate.
    Incentivized
    Read full review
    Shakudo
    No answers on this topic
    Alternatives Considered
    Iguazio
    Execution, experiment, data, model tracking, and automated deployment is done automatically through the MLRun serverless runtime engine. MLRun maintains a project hierarchy with strict membership and cross-team collaboration. End-to-end data governance is fully solidified and managed with authentication and identity management. Customers securely share data by providing access directly to it and not to copies.
    Incentivized
    Read full review
    Shakudo
    No answers on this topic
    Return on Investment
    Iguazio
    • Is a fully integrated solution with a user-friendly portal.
    • Manage our ML pipeline end-to-end using Full-stack,user friendly environment.
    • Iguazio enables our teams to manage all artefacts throughout their lifecycle.
    • Enhance team work and collaboration in our teams.
    Incentivized
    Read full review
    Shakudo
    No answers on this topic
    ScreenShots

    Shakudo Platform Screenshots

    Screenshot of Shakudo Platform Dashboard UIScreenshot of Jobs use the same environment config as Sessions, so users can have the same dependencies and configurations available as they had during development. Jobs can be run on demand using Immediate jobs, or scheduled with a Cron expression using Scheduled Jobs. The integrated Job system can be used on its own, or it can be used to run code with tools like Airflow or Prefect.Screenshot of When deploying a project and publishing the results, Services help to deploy custom long-running programs like web servers to host results, or integrations can be used. From publishing processed data to S3 buckets, to hosting trained models on Nvidia Triton, to publishing dashboards in Apache Superset, it helps data scientists deploy their projects and their artifacts with minimal configuration or maintenance required