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KNIME

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KNIME is a no-code/low-code platform featuring visual drag-and-drop workflows that enable non-technical users to build analytics applications and automate data processes without writing code. It democratizes data analytics by making it accessible to business analysts, data scientists, and teams, speeding up development and scaling from prototypes to production. With strong collaboration tools and a vibrant community, KNIME helps businesses transition from manual tasks to insight-driven automation.

Pricing
Starting at USD19/moView pricing
CategoryResearch & Data Analysis
0.0/5
0 reviews
KNIME

Description

KNIME is a no-code/low-code platform featuring visual drag-and-drop workflows that enable non-technical users to build analytics applications and automate data processes without writing code. It democratizes data analytics by making it accessible to business analysts, data scientists, and teams, speeding up development and scaling from prototypes to production. With strong collaboration tools and a vibrant community, KNIME helps businesses transition from manual tasks to insight-driven automation.

Key capabilities

  • Visual GUI-based workflow building
  • Drag-and-drop components for analytics
  • No-code data processing and modeling

Core use cases

  1. 1.Building scalable analytics workflows
  2. 2.ETL processes
  3. 3.Model API deployment
  4. 4.Collaborative data projects

Is KNIME Right for You?

Best for

  • Business analysts
  • Data scientists
  • Non-technical data workers
  • Teams seeking collaborative tools

Standout features

  • Reusable workflow components
  • Integrated production deployment
  • Extensive integrations
  • Active community forum
  • KNIME Hub for examples and extensions

Pricing

KNIME Analytics Platform

USD0

    Business Hub

    USD0

      Pro

      USD19/month

        Team

        USD99/month

          Reviews

          0.0/5

          Based on 0 reviews across 0 platforms

          User Feedback Highlights

          Most Praised

          • Speeds up development
          • Broadens analytics access to non-coders
          • Supports collaboration and reuse
          • Scalable from business users to data scientists