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KNIME

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uuid0000eqm

Namestring
KNIME
Legal namestring
KNIME AG
Websiteurl
knime.com
Company typeenum
Private
Founded yearint
2006
Descriptiontext

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.

Short descriptiontext

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.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
101–250
akta.pro rankint
HeadquartersZürich, Switzerland
HQ citystring
Zürich
HQ countrystring
Switzerland
HQ regionstring
Europe
Markets served

Serves global market

Offices4 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
data science platform, visual analytics workflows, ETL data integration, open source analytics, predictive AI modeling
Industry1 code
1Dashboarding & KPI/Performance Management
CodeHDAEAMAFPrimaryYes
NAICS code1 code
  • Software Publishers513210
Product category
Data Science and Analytics Platform
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model5 records
1Enterprise Subscriptions (KNIME Business Hub)
TypeSubscription Recurring
Description

Commercial licensing of KNIME Business Hub for enterprise teams requiring collaboration, governance, deployment, and centralized workflow management. Available as on-premise or SaaS deployment.

hpcwire.com
2KNIME Pro
TypeSubscription Recurring
Description

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.com
3KNIME Team Plan
TypeSubscription Recurring
Description

Commercial team subscription for the KNIME Community Hub enabling workflow sharing, collaboration, and team-based analytics deployment.

knime.com
4Free/Open Source Platform
TypeFreemium
Description

KNIME Analytics Platform is free and open-source, driving adoption and community growth that converts to commercial tiers.

knime.com
5Training & Certification
TypeSubscription Recurring
Description

Revenue from online courses, certifications, and educational materials through KNIME's learning platform.

knime.com
Marketing channels8 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels5 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Pricing details5 tiers
1KNIME Analytics Platform - Free open-source platform for individual users
ModelFreemiumBilling cadenceOthers
Notes

Free download with full functionality for individual data science workflows

knime.com
2Personal Plan - Free user accounts on KNIME Hub
ModelFreemiumBilling cadenceOthers
Notes

Free community accounts for workflow sharing and collaboration

knime.com
3KNIME Pro - Cloud-based individual commercial plan
ModelSubscriptionBilling cadenceMonthly
Notes

Includes workflow scheduling, data apps, K-AI assistant, versioning, secret management, REST services. Free trial available.

knime.com
4Team Plan - Commercial team collaboration on KNIME Hub
ModelSubscriptionBilling cadenceAnnual
Notes

Team-based commercial licensing with billing based on users and disk storage

knime.com
5KNIME Business Hub - Enterprise-grade platform
ModelSubscriptionBilling cadenceAnnual
Notes

Full enterprise collaboration, governance, deployment capabilities. Available as on-premise or SaaS. 99.9% SLA-backed availability.

knime.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 6 records shown
1KNIME Analytics Platform
Description

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.com
+5 more records
Core offering1 text field

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.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 2 values shown
  • Engineers can go from complete beginners to analytics practitioners within a few months using KNIME in corporate Citizen Data Scientist training programs
+1 more record
Product overview1 text field

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.

Product and service6 records
1KNIME Analytics Platform
CategoryCore Analytics Platform
Description

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.

2KNIME Business Hub
CategoryEnterprise Collaboration Platform
Description

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.

3KNIME Pro
CategoryCloud Subscription Plan
Description

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.

4KNIME Team Plan
CategoryTeam Collaboration Plan
Description

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.

5KNIME Community Hub
CategoryCommunity Sharing Platform
Description

Public platform for sharing KNIME workflows, extensions, and community-contributed nodes, with access to Verified Components templates, Innovation Notes, and partner Success Stories.

6KNIME Self-Paced Courses
CategoryTraining and Certification
Description

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.

Scale indicator8 records

Each record includes

Type, Value, Description, Source

Partnership2 partners
Strategic tierCoreTypeChannel Partner/ Reseller/ Distributor
Description

Atos is a KNIME Elite partner providing digital transformation and analytics consulting services. Head of Analytics at Atos has publicly endorsed the KNIME Partner Program.

Strategic tierCoreTypeTechnology or Integration
Description

OpenAI is integrated as a data processor for K-AI, KNIME's AI assistant. Processing governed by DPA including Controller-to-Processor Standard Contractual Clauses.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

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.

TypeDirect peer
Description

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).

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeBroad incumbent
Description

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.

TypeBroad incumbent
Description

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.

TypeDirect peer
Description

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.

8SAS
TypeBroad incumbent
Description

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.

TypeBroad incumbent
Description

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.

TypeBroad incumbent
Description

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

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers9 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment7 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile5 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration51 records

Each record includes

Title, Type, Description, Source

AI capability11 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature5 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles5 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

Subsidiaries2 records

Each record includes

Name, Acquired on, Relationship type, Type, Business focus

No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds2 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors1 record

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

KNIME

Data Science and Analytics Platformknime.com

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.

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

  • Data science platform
  • Visual analytics workflows
  • ETL data integration
  • Open source analytics
  • Predictive AI modeling

Where KNIME is headquartered

Location

Headquarters

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

  1. 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.
  2. 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.
  3. KNIME Team Plan: Commercial team subscription for the KNIME Community Hub enabling workflow sharing, collaboration, and team-based analytics deployment.
  4. Free/Open Source Platform: KNIME Analytics Platform is free and open-source, driving adoption and community growth that converts to commercial tiers.
  5. Training & Certification: Revenue from online courses, certifications, and educational materials through KNIME's learning platform.

Pricing tiers

ModelBillingPrice
FreemiumOthersKNIME Analytics Platform - Free open-source platform for individual users
FreemiumOthersPersonal Plan - Free user accounts on KNIME Hub
SubscriptionMonthlyKNIME Pro - Cloud-based individual commercial plan
SubscriptionAnnualTeam Plan - Commercial team collaboration on KNIME Hub
SubscriptionAnnualKNIME Business Hub - Enterprise-grade platform

Go-to-market motion3 records

Distribution channels5 records

Marketing channels8 records

KNIME product offering

Product offering

Core 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 profile

Named customers9 records

Segments7 records

Ideal customer profiles5 records

KNIME technology and API

Technology

Technology 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 signal

Partnerships

Two partnerships are on record, tiered core.

  • AtoscoreChannel Partner/ Reseller/ DistributorAtos is a KNIME Elite partner providing digital transformation and analytics consulting services. Head of Analytics at Atos has publicly endorsed the KNIME Partner Program.
  • OpenAIcoreTechnology or IntegrationOpenAI 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 assessment

Direct 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 presence

KNIME financial estimates

Financial estimate

Revenue estimate

Valuation estimate

KNIME leadership team

Management profile

Number of profiles

Profiles5 records

KNIME subsidiaries and ownership

Company hierarchy

Subsidiaries2 records

KNIME funding detail

Funding detail

Funding 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 investment

M&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.

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Live signals
EIN PresswireThe Top Data Science Platforms According to the FeaturedCustomers Summer 2026 Customer Success Report RankingsFeaturedCustomers released its Summer 2026 Data Science Platforms Customer Success Report, ranking vendors by customer reference content. Market Leaders include Altair, Alteryx, Databricks, and others, while Top Performers and Rising Stars are also listed. The report is based on over 7,000 verified customer reference pieces.Let's Data ScienceAgentic AI Exposes Supply-Chain Analytics FragilityThe article discusses how agentic AI exposes weaknesses in supply-chain analytics, particularly when systems move from analysis to automated decision-making. KNIME cites Kärcher as an example, highlighting operational challenges with overstock and shortages caused by reliance on lagging indicators. The report emphasizes the need for improved governance, auditability, and monitoring in supply-chain automation systems.UVA TodayAI Is Great at “Normal Science,” but Breakthroughs Still Belong to People – Darden Report OnlineKeith McCormick, a visiting professor at the University of Virginia Darden School of Business, presented his analysis that AI excels at "normal science" — incremental improvements and pattern recognition — but lacks the capacity for paradigm-shifting breakthroughs that require intuitive, creative leaps. In his work with Citibank, McCormick found that low-code tools like KNIME Analytics Platform serve an underappreciated function in governance by replacing chaotic Excel processes and creating audit trails. McCormick argues that achieving artificial general intelligence likely requires a new scientific breakthrough beyond simply scaling current models, pointing to accumulating anomalies and user frustrations as signs the current paradigm may be reaching its limits.FindanomalyDataiku Alternatives: 8 Tools Compared (2026)The article compares eight Dataiku alternatives for AI and data analysis tools in 2026, including Anomaly AI, KNIME, Alteryx, Databricks, Hex, H2O.ai, and DataRobot, highlighting their primary features and target users.Let's Data ScienceAgentic AI Exposes Master Key VulnerabilitiesA security analysis published April 1, 2026 warns that agentic AI systems create critical vulnerabilities due to their need for backend credentials, with developers commonly relying on single admin "master keys" that can be exploited by prompt-injection attacks. The article cites CodeWall's autonomous breach of McKinsey's Lilli platform as a concrete example of this risk. It recommends centralized secrets management solutions, specifically highlighting KNIME's Secret Store, to enforce least-privilege access and enable credential rotation.startupticker.chNew leadership for ICT and Life Sciences Swiss startupsFour Swiss startups in ICT and Life Sciences sectors have announced leadership changes, with Timo Müller promoted from co-founder and VP Product to CEO at Voliro, Trevor Kaufman appointed as CEO at Knime, Wolfgang Fischer joining as COO at Nuclidium, and Ali Kiboro named CFO at ONWARD Medical. The appointments reflect each company's strategic transition into new growth phases, ranging from advancing autonomous aerial robotics at Voliro to expanding data analytics capabilities at Knime. The new leaders bring extensive experience in scaling technology businesses and advancing biotech operations.Analytics InsightWhich Data Mining Tools Will Dominate in 2026?The article discusses the leading data mining tools expected to dominate in 2026, including Python-based ecosystems, RapidMiner, KNIME, Spark, SAS, Microsoft Azure, and Zoho Analytics. It highlights features such as scalability, automation, ease of use, and integration with cloud and big data platforms, emphasizing their broad application across industries.HpcwireData Science • AI • Advanced AnalyticsKNIME announced a strategic partnership with DataCamp to integrate its visual workflow platform with DataCamp's online learning resources, aiming to enhance data science and AI education. The collaboration introduces a KNIME Fundamentals Track that prepares learners for the L1 KNIME Certification by combining theoretical courses with hands-on application tools.Solutions Review Technology News and Vendor ReviewsEvaluate Automation First and Invest in AI When it Adds Real ValueKNIME’s Iris Adae argues that organizations should prioritize rule-based automation over artificial intelligence unless AI provides specific, measurable value. The article highlights a disconnect between high global AI investment and the fact that over 97% of companies struggle to derive meaningful business results from their AI initiatives. It proposes a framework for determining whether tasks require the interpretive power of AI or the transparency and stability of automation.KnimeTraditional Automation vs. Generative AI vs. Agentic AI: When to Use WhichKNIME published an educational guide explaining the differences between traditional automation, generative AI, and agentic AI, outlining when each approach is best suited for different workflow needs.