KNIME Pricing Overview

Free Trial

KNIME Pricing Key Insights

Last updated on Jul 28, 2026


KNIME offers 4 pricing editions, starting at $0. KNIME pricing tiers are designed to support different usage levels and team sizes. KNIME also offers a free trial. Higher-tier plans are available via direct consultation with the vendor. Compare the KNIME pricing table below to figure out the best fit for your needs.


KNIME Analytics Platform — $0
KNIME Pro — $19 / 1 Users Per Month
KNIME Team — $99 / 3 Users Per Month
KNIME Business Hub — Contact Us / 5 Users Per Year
Rated 4.5 / 5

*Pricing information is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations must be conducted with the seller.

KNIME Pricing FAQs

Generated using AI
Is KNIME free, or does it offer a free trial?

Yes. According to G2 data, KNIME offers a free plan with limited features. Users can upgrade to paid plans for additional capabilities. Visit the seller's official pricing page to compare plan options and features.

How much does KNIME cost in 2026?

According to G2 data, KNIME pricing in 2026 starts at $19.00 and can reach $99.00 depending on the selected plan. Pricing may vary based on billing terms or usage, so users should review the KNIME's official pricing page for the most current details.

Who is KNIME pricing best suited for?

KNIME's pricing structure suits a wide range of users across segments. G2 reviewers from small businesses and individual consultants, trainers, and students consistently praise the free KNIME Analytics Platform as ideal for local analytics, ETL, and ML without budget constraints. Mid-market teams in IT, financial services, and healthcare gravitate toward KNIME Pro or KNIME Team for workflow automation and collaboration. G2 reviews from enterprise users in automotive, consumer goods, financial services, and research highlight KNIME Business Hub as the fit for organizations needing governance, enterprise authentication, and self-serve data apps at scale. Audit, accounting, and compliance professionals across segments are also frequently cited as strong adopters.

What are the key differences between the free and paid versions of KNIME?

KNIME Analytics Platform is fully free for local desktop workflow building, offering 300+ data source connectors, ML, GenAI, and code interoperability with no usage caps. KNIME's paid plans add cloud-based automation and deployment capabilities absent from the free tier. KNIME Pro (from $19/month) enables workflow scheduling, data app deployment, secrets management, and 500 K-AI interactions monthly. KNIME Team (from $99/month) adds private collaboration spaces and centralized billing for small businesses. KNIME Business Hub targets enterprises with LDAP/OAuth, SCIM, staged deployment, a GenAI gateway, and dedicated execution resources. G2 reviewers note that scheduling ETL pipelines without a paid server tier requires manual workarounds.

Is KNIME considered good value for its pricing?

KNIME is widely regarded as exceptional value, primarily because the KNIME Analytics Platform desktop is completely free and open source. G2 reviewers repeatedly cite this as a major differentiator, with multiple users calling it the best free alternative to paid tools like Alteryx and noting it delivers enterprise-grade ETL, machine learning, and GenAI capabilities at no cost. G2 reviews of KNIME from financial services, consulting, and IT segments highlight significant time savings and automation gains. A few reviewers note that sharing and automation features require paid upgrades, and one reviewer explicitly flagged that some features require payment, but the consensus across high ratings averaging 4.5/5 is that KNIME's pricing delivers strong return on investment.

KNIME Pricing Reviews

(2)
Charm M.
CM
Charm M.
Group Audit Manager
Oil & Energy
Mid-Market (51-1000 emp.)
"KNIME’s Visual Workflows - One of the best tool for Auditing, Accounting & Finance Professionals"
5/5
What do you like best about KNIME?

As an experienced Internal Audit Manager, regional data analytics community contributor, and data analytics trainer, I confidently consider KNIME one of the best tools for Auditing, Accounting & Finance, Risk, and Compliance (AAFRC) professionals.

The most helpful feature is its visual workflow approach, which provides a clear end-to-end view of the entire analytical process. This makes analyses transparent, easy to review, and highly auditable.

Key upsides include the ability to efficiently analyze multiple subgroups using looping nodes and identify anomalies using outlier detection techniques. KNIME also requires little to no coding to get started, allowing professionals to focus on insights rather than programming.

In my experience, KNIME has significantly improved the efficiency and effectiveness of my audit projects, enabling broader testing, better risk identification, and higher productivity. Review collected by and hosted on G2.com.

What do you dislike about KNIME?

No significant downsides from my experience. KNIME provides strong value through its visual workflows, automation, flexibility, and ability to improve analytical efficiency. Review collected by and hosted on G2.com.

Verified User in Computer Software
GC
Verified User in Computer Software
Mid-Market (51-1000 emp.)
"Intuitive and Cost-Effective, But Resource-Heavy"
4.5/5
What do you like best about KNIME?

I use KNIME Software as an open-source, low-code platform to build visual drag-and-drop data pipelines, allowing us to automate complex data preparation and modeling workflows without needing to write code, while still giving us the flexibility to script in Python or R for custom logic. I really like how it bridges the technical gap by letting business analysts visually construct complex data and machine learning pipelines without writing SQL or Python code. The node-based layout acts as a self-documenting flowchart, making it easy to audit, debug, and explain workflows to stakeholders. I love KNIME's massive open-source library of pre-built nodes, which makes blending different tools like Python, SQL, and Excel on a single canvas seamless. The intuitive traffic-light node status indicators make testing and debugging visual workflows easy and eliminate the guesswork by providing instant, node-by-node feedback on pipeline issues. Additionally, the library acts as an app store for data, allowing us to connect legacy files to modern AI models with just a drag-and-drop node instead of writing custom API integration code. The initial setup was easy and friction-free. Review collected by and hosted on G2.com.

What do you dislike about KNIME?

I find KNIME Software to be an absolute memory hog, frequently crashing on large datasets due to its aggressive step-by-step caching. Configuring its clunky Python integrations is notoriously painful. Additionally, complex business logic quickly transforms workflows into a chaotic spaghetti of nodes that are highly disorienting to navigate and organize. Review collected by and hosted on G2.com.

KNIME Comparisons