AnacondaBuild, secure, and operate AI on the models and infrastructure you choose.

KNIMEAnalytics made intuitive, AI made reliable

Comparison · MLOps Platforms · weekly run Nov 2

Anaconda vs KNIME

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Anaconda is the stronger AI pick in MLOps Platforms: it has a visibility score of 5.1 versus 0.4 for KNIME, and ranks ahead in 100% of the answers that name both.

Choose Anaconda if…

You want the brand AI engines rank higher (5.1 vs 0.4)
You need a self-hosted or on-premises option
You need ISO/IEC 27001:2022 or SOC 2 Type 2 or PCI DSS or GDPR coverage

Choose KNIME if…

You need ISO 27001 coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric	Anaconda	KNIME
Visibility score	5.1%	0.4%
Change vs last week	New	New
Rank in MLOps Platforms	#19	#49
Share of voice	1.7%	0.1%
Mentions this run	11	1
Positive in AI answers	—	0%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

Anaconda 0pp · KNIME 0pp over 0 weekly runs.

Engine by engine

Anaconda leads on 2 of 3 engines

ChatGPT

2.6%

1.1%

AI Mode

Perplexity

12.6%

AnacondaKNIME

Head to head in AI answers

1 engine answers name both brands

1Anaconda ranked higher

0KNIME ranked higher

Prompt	Engine	Anaconda	KNIME
What is the difference between an MLOps platform and a data science platform?	ChatGPT	#5	#7

Features, pricing & fit

Dimension	Anaconda	KNIME
Pricing model	Per seat	—
Entry price	Free; paid from $15 per seat / mo	—
Free plan	Yes	—
Deployment	Managed cloud, self-hosted cloud, or on-premises. AI Artifacts are also available for air-gapped networks.	Installed on the customer's own infrastructure, local, cloud or hybrid, with a SaaS option for small teams
Integrations	—	300+
Compliance	ISO/IEC 27001:2022, SOC 2 Type 2, PCI DSS, GDPR	ISO 27001
Support	Community support, Priority support, Dedicated support with SLA commitments, Dedicated Slack/Teams channel	Customer care team, reached through the contact form
Founded	2012	2008
Headquarters	Austin, Texas, United States	Zurich, Switzerland
Employees	201–500	201–500
Funding	Series C	Growth round, led by Invus · $50M raised
Best for	Enterprises and builders that want to build, secure and run AI on their own models, tools and infrastructure, including regulated industries.	Business experts, data scientists, and MLOps and IT teams in enterprises that need explainable, governed analytics and AI