KNIME
KNIME provides an open-source, visual workflow-based data science and AI platform serving 300,000+ users and nearly 400 enterprise customers including Siemens, Deutsche Telekom, and ING. The company monetizes through commercial tiers (Business Hub, Pro, Team Plan) while offering the core Analytics Platform free under a freemium model.
- Company typePrivate
- Founded2006
- HeadquartersZürich, Switzerland
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What KNIME does
KNIME is an open-source data science and AI platform company headquartered in Zurich, Switzerland, founded in 2006. Its core product, the KNIME Analytics Platform, is a free, visual workflow-based tool that enables users to build data processing pipelines by connecting drag-and-drop nodes for ETL, analytics, predictive AI, and data-aware agent building without requiring extensive programming. The platform integrates 300+ connectors to data sources including Snowflake, Databricks, Microsoft Fabric, SAP, and all major AI model providers, and supports extensions for Python scripting, geospatial analysis, LLM integration, and reporting. KNIME serves approximately 300,000 users globally, including employees at 150+ Fortune 500 companies and nearly 400 enterprise customers spanning manufacturing (Siemens, Continental, Würth, Kärcher), financial services (ING, Rabobank, Sparkasse KölnBonn), telecommunications (Deutsche Telekom), and technology (Seagate).
The company's commercial offering centers on KNIME Business Hub (available as on-premises or SaaS since November 2025), which adds enterprise collaboration, governance, workflow scheduling, deployment, and audit trails, plus KNIME Pro (a cloud-based individual plan launched September 2025) and KNIME Team Plan for small team collaboration. Revenue is generated through subscription licensing on the commercial tiers, complemented by training, certification, and partner channel revenue. Distribution combines product-led growth via free downloads, direct enterprise sales for Business Hub deployments, and a tiered partner program (Elite, Trusted, Standard, Tech) with regional and industry-focused resellers. Trevor Kaufman serves as CEO following his January 2026 appointment.
KNIME has raised a total of $50 million in disclosed funding, with longtime investor Invus contributing both a 2017 round and a $30 million follow-on in August 2024 earmarked for AI governance and ModelOps development. The company reported €30 million in revenue as of August 2024, with 30-40% annual growth sustained since 2017, and employs 200-220 staff across offices in Zurich, Konstanz, Berlin, and the United States. Strategic positioning emphasizes transparent, governed AI — exemplified by K-AI and Agent Chat nodes that surface AI reasoning and errors for human review — distinguishing KNIME in regulated enterprise use cases.
KNIME firmographics
Firmographics- Name
- KNIME
- Legal name
- KNIME AG
- Website
- https://knime.com
- Company type
- Private
- Founded year
- 2006
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- KNIME provides an open-source, visual workflow-based data science and AI platform serving 300,000+ users and nearly 400 enterprise customers including Siemens, Deutsche Telekom, and ING. The company monetizes through commercial tiers (Business Hub, Pro, Team Plan) while offering the core Analytics Platform free under a freemium model.
- Ownership category
- akta.pro rank
KNIME industry classification
Industry- Product category
- Data Science and Analytics Platform
- NAICS
- Software Publishers (513210)
- akta.pro primary industry
- Dashboarding & KPI/Performance Management (HDAEAMAF)
Keywords
Where KNIME is headquartered
LocationHeadquarters
- HQ city
- Zürich
- HQ country
- Switzerland
- HQ region
- Europe
Offices4 records
Markets served
KNIME business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- Enterprise Subscriptions (KNIME Business Hub): Commercial licensing of KNIME Business Hub for enterprise teams requiring collaboration, governance, deployment, and centralized workflow management. Available as on-premise or SaaS deployment.
- KNIME Pro: Cloud-based individual plan bridging KNIME Analytics Platform and Team Plan, offering workflow scheduling, data apps, K-AI assistant, versioning, secret management, and REST services.
- KNIME Team Plan: Commercial team subscription for the KNIME Community Hub enabling workflow sharing, collaboration, and team-based analytics deployment.
- Free/Open Source Platform: KNIME Analytics Platform is free and open-source, driving adoption and community growth that converts to commercial tiers.
- Training & Certification: Revenue from online courses, certifications, and educational materials through KNIME's learning platform.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Others | KNIME Analytics Platform - Free open-source platform for individual users |
| Freemium | Others | Personal Plan - Free user accounts on KNIME Hub |
| Subscription | Monthly | KNIME Pro - Cloud-based individual commercial plan |
| Subscription | Annual | Team Plan - Commercial team collaboration on KNIME Hub |
| Subscription | Annual | KNIME Business Hub - Enterprise-grade platform |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels8 records
KNIME product offering
Product offeringCore offering
KNIME provides an open-source, visual workflow-based data science platform for ETL, data analytics, predictive AI, and agent building. The free KNIME Analytics Platform is complemented by commercial offerings including KNIME Business Hub (enterprise governance and collaboration), KNIME Pro (cloud-based individual plan), and KNIME Team Plan. Users connect 300+ data sources and AI models through drag-and-drop nodes, with the K-AI assistant enabling natural language workflow creation and agentic AI capabilities.
Product overview
KNIME offers a platform-plus-modules architecture centered on its open-source KNIME Analytics Platform (free, visual workflow-based data science tool) complemented by commercial offerings: KNIME Business Hub (enterprise collaboration and governance platform available as on-premises or SaaS), KNIME Pro (cloud-based plan with scheduling and deployment features), KNIME Team Plan (small team collaboration), and KNIME Community Hub (public sharing platform). AI capabilities are delivered through K-AI (conversational workflow assistant), the LLM Extension (nodes for OpenAI, Azure OpenAI, and compatible models), Agent Chat View/Widget nodes (autonomous agent interfaces), and Gemini Image Generator node (image generation/editing). Specialized functionality is extended via installable extensions for Python scripting, reporting, geospatial analysis, and domain-specific workflows. The company serves 300,000+ users globally including users at 150+ Forbes 500 companies.
Differentiator
Problem solved
Functional benefit
Brands
- KNIME Analytics Platform: Free and open-source platform enabling anyone to work with data through visual workflows, supporting ETL, data analytics, predictive AI, and data-aware agent building.
- KNIME Business Hub
- KNIME Hub
- KNIME Community Hub
- K-AI
- KNIME Pro
Products and services
- KNIME Analytics Platform Free, open-source visual workflow-based platform enabling users from business, technical, or data backgrounds to perform ETL, data analytics, predictive AI, and data-aware agent building through a drag-and-drop node-based interface with 300+ connectors.
- KNIME Business Hub Commercial enterprise platform for collaboration, governance, workflow scheduling, data app deployment, and centralized secret management on data science workflows. Available as on-premises or SaaS deployment.
- KNIME Pro Cloud-based individual plan offering workflow scheduling, data apps deployment, K-AI assistant with expanded AI access, versioning with revert/compare, secret management, and REST services for API endpoint deployment.
- KNIME Team Plan Team collaboration plan on KNIME Community Hub enabling small teams to share workflows, collaborate on data science projects, and manage user accounts with billing and subscription management.
- KNIME Community Hub Public platform for sharing KNIME workflows, extensions, and community-contributed nodes, with access to Verified Components templates, Innovation Notes, and partner Success Stories.
- KNIME Self-Paced Courses Online learning platform offering self-paced training courses for KNIME Analytics Platform, data science, and AI skills development, including KNIME certification programs issued via Credly.
Quantifiable outcome
- Engineers can go from complete beginners to analytics practitioners within a few months using KNIME in corporate Citizen Data Scientist training programs
- +1 more outcomes
Companies that use KNIME
Customer profileNamed customers9 records
Segments7 records
Ideal customer profiles5 records
KNIME technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration51 records
AI capability11 records
Feature5 records
KNIME partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered core.
- AtoscoreAtos is a KNIME Elite partner providing digital transformation and analytics consulting services. Head of Analytics at Atos has publicly endorsed the KNIME Partner Program.
- OpenAIcoreOpenAI is integrated as a data processor for K-AI, KNIME's AI assistant. Processing governed by DPA including Controller-to-Processor Standard Contractual Clauses.
Scale indicators8 records
Recent moves6 records
Expansion highlights6 records
KNIME competitors and assessment
Company assessmentDirect peers
- Alteryx: Alteryx offers a visual analytics and data science automation platform serving similar enterprise data prep, blending, and analytics use cases. Highly comparable on product category, customer base (Fortune 500 enterprises), and visual workflow-based approach, making it the closest public peer to KNIME.
- RapidMiner: RapidMiner provides a visual data science platform for predictive analytics and machine learning with similar node-based workflow design philosophy. Closely aligned on product architecture, citizen data scientist value proposition, and open-source heritage (KNIME and RapidMiner are often compared head-to-head).
- Dataiku: Dataiku is an enterprise AI and machine learning platform with visual workflow capabilities serving data scientists and business users in regulated industries. Directly comparable in target customers (financial services, manufacturing), AI governance positioning, and PLG-to-enterprise motion.
- Domino Data Lab: Domino Data Lab is an enterprise MLOps platform enabling data science teams to build, deploy, and monitor models at scale. Comparable in serving enterprise data science teams in regulated industries with strong governance requirements, though Domino is more code-first and less visual.
- Anaconda: Anaconda is a Python data science platform with both open-source community and commercial offerings for enterprise data science and AI workflows. Comparable on open-source-led GTM, Python-based extensibility, and enterprise data science user base.
Broad incumbents
- Databricks: Databricks is a unified data and AI platform offering data engineering, ML, and analytics at scale. While broader than KNIME and far larger, it increasingly competes for the same enterprise data science budget with embedded ML and AI workflow capabilities.
- Palantir Foundry: Palantir Foundry is an enterprise data integration and analytics platform serving large organizations in heavily regulated industries. Comparable in serving regulated enterprise data needs with strong governance, but positioned at higher price points and larger deployments.
- SAS: SAS is a long-standing analytics and AI platform with deep penetration in regulated industries (banking, life sciences, government). Competes for similar enterprise analytics budget and offers comparable governance/audit capabilities, though as a much broader and older platform.
- Tableau: Tableau (Salesforce) is a leading data visualization and BI platform serving similar enterprise analytics users. Overlaps with KNIME's analytics and BI use cases, particularly for business users and reporting, but lacks the deep ML/AI workflow capabilities.
- Microsoft Power BI: Microsoft Power BI is a broadly deployed BI and analytics platform with AI capabilities, embedded in the Microsoft Fabric ecosystem. Competes for analytics and reporting budget within the same enterprise IT organizations but offers a narrower data science workflow story.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
KNIME social profiles
Digital presenceKNIME financial estimates
Financial estimateRevenue estimate
Valuation estimate
KNIME leadership team
Management profileNumber of profiles
Profiles5 records
KNIME subsidiaries and ownership
Company hierarchySubsidiaries2 records
KNIME funding detail
Funding detailFunding overview
Funding rounds2 records
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
KNIME M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about KNIME
What does KNIME do?
KNIME provides an open-source, visual workflow-based data science platform for ETL, data analytics, predictive AI, and agent building. The free KNIME Analytics Platform is complemented by commercial offerings including KNIME Business Hub (enterprise governance and collaboration), KNIME Pro (cloud-based individual plan), and KNIME Team Plan. Users connect 300+ data sources and AI models through drag-and-drop nodes, with the K-AI assistant enabling natural language workflow creation and agentic AI capabilities.
Is KNIME a public or private company?
KNIME is a private company. It is classified as venture growth investor backed and is currently operating.
When was KNIME founded?
KNIME was founded in 2006. It employs 101 to 250 people.
Where is KNIME based?
KNIME is headquartered in Zürich, Switzerland, in the Europe region.
How does KNIME make money?
Five revenue lines are on record. Enterprise Subscriptions (KNIME Business Hub) is the primary driver. The others are KNIME Pro, KNIME Team Plan, free/Open Source Platform and training & Certification.
Who are KNIME's main competitors?
Direct peers on record are Alteryx, RapidMiner, Dataiku, Domino Data Lab and Anaconda. Broad incumbents are Databricks, Palantir Foundry, SAS, Tableau and Microsoft Power BI.
Does KNIME have an API?
Yes. KNIME offers REST services through KNIME Pro that enable users to deploy workflows as API endpoints for real-time recommendations, data enrichment, and trigger-based automation. The OpenAI Authenticator node provides OAuth-based authentication for connecting to OpenAI-compatible APIs using custom request headers and credentials objects. The platform does not offer a comprehensive public developer API; its primary interface is the visual workflow builder. Developer documentation is at docs.knime.com.
What industry is KNIME in?
KNIME's product category is Data Science and Analytics Platform. Its primary akta.pro industry code is HDAEAMAF, Dashboarding & KPI/Performance Management. Its NAICS code is 513210.