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Brief
K

KNIME

KNIME provides a visual, low-code/no-code platform for data analytics and machine learning that democratizes data science capabilities while offering enterprise-grade scalability and governance.

Zurich, SwitzerlandFounded 2004

Last updated May 11, 2026 by ATDb automated enrichment

Industry
Data Analytics and Business Intelligence (used in AdTech)
Business Model
Open-Source with Commercial Enterprise Licensing
Target Market
Enterprise and Mid-Market
Employee Count
201-500
API Available
Yes
Market Position

Leading open-source data analytics platform with strong presence in enterprise data science workflows

Overview

KNIME (Konstanz Information Miner) is a leading open-source data analytics, reporting, and integration platform that allows users to visually create data flows, execute selected analysis steps, and review results through an intuitive interface. The platform is built on Eclipse and uses a modular data pipelining concept to combine various components for machine learning and data mining. While not exclusively an AdTech company, KNIME is widely used in the advertising and marketing technology sectors for customer analytics, campaign optimization, attribution modeling, and predictive analytics. KNIME serves data scientists, business analysts, and researchers across multiple industries including pharmaceuticals, financial services, manufacturing, and digital marketing. The company offers both a free open-source version (KNIME Analytics Platform) and commercial enterprise solutions (KNIME Business Hub) that provide additional collaboration, automation, and deployment capabilities. KNIME has built a strong community of users and contributors, with an extensive library of integrations and extensions that connect to various data sources, cloud platforms, and analytics tools. In the AdTech ecosystem, KNIME is utilized as a data integration and analytics tool rather than a direct advertising technology platform. Marketing teams and data scientists use KNIME to process advertising data, build predictive models for customer behavior, perform attribution analysis, and create automated reporting workflows that integrate data from multiple advertising platforms and marketing channels.

Products & Features

KNIME Analytics Platform

Free, open-source desktop application for creating visual data science workflows with drag-and-drop interface

KNIME Business Hub

Enterprise collaboration platform for sharing, automating, and deploying KNIME workflows across organizations

KNIME Server

Enterprise server solution for workflow automation, scheduling, and deployment (now part of Business Hub)

KNIME Hub

Community platform for sharing workflows, components, and extensions with the KNIME user community

Key Features
Visual workflow design with drag-and-drop interface1000+ pre-built nodes and integrationsSupport for Python, R, SQL, and other languagesMachine learning and AI capabilitiesData blending from multiple sourcesAutomated workflow execution and schedulingCollaboration and version controlInteractive visualizations and reporting
Use Cases
Marketing attribution modeling and analysisCustomer segmentation and profilingCampaign performance analytics and reportingPredictive modeling for customer lifetime valueAd spend optimization and ROI analysisMulti-channel marketing data integrationAutomated reporting workflowsA/B testing analysis and experimentation
Customer Segments
Data ScientistsBusiness AnalystsMarketing Analytics TeamsEnterprise IT DepartmentsResearch OrganizationsFinancial ServicesPharmaceutical CompaniesDigital Marketing Agencies

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