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Rapidminer

Enterprise AI and analytics solution for data preparation, machine learning, knowledge graphs, and GenAI.

Venture Funded$36MSeries BEarlybird Venture CapitalCapnamic VenturesHTGF
predictive analyticsdata sciencemachine learningno-code
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About

Rapidminer is now owned by Siemens and has been integrated into their enterprise AI portfolio. It is an enterprise AI and analytics solution that connects siloed data, uncovers insights and accelerates innovation through advanced analytics and AI automation. The portfolio includes multiple products: Rapidminer AI Studio for visual drag-and-drop machine learning workflows with AutoML tools, Rapidminer Graph Studio for creating knowledge graphs, Rapidminer SLC for running SAS language programs, Rapidminer Monarch for data preparation from PDFs and spreadsheets, Rapidminer Panopticon for real-time data visualization, and Rapidminer Knowledge Studio for explainable decision trees. The platform breaks down data silos, activates data locked in reports and PDFs, runs existing SAS language code, and resolves complex questions through a unified knowledge graph.

Read from rapidminer.com on 2026-08-26. We describe what the vendor states; we do not audit it.

Enterprise Readiness

from cataloged data
67/100 · Strong
Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, On-Premise, Hybrid

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

6 documented use cases

Company MaturityStrong

Founded 2007 · Series B

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Activity classifier
Active
last GitHub commit 3d ago
GitHub API2026-05-27
rapidminer-studio
SDK / client libraries· 0· active 3mo ago
steady · +0★ (+0%) 30d
OSV vulnerability feed2026-08-24
No known advisories

Enterprise Use Cases

Customer churn prediction
Fraud detection
Predictive maintenance
Sales forecasting
Risk management
Marketing campaign optimization

Integrations

SalesforceMicrosoft AzureAWSGoogle CloudTableauSnowflakeSAPHadoop

How Rapidminer compares

ToolReadinessPricingDeploymentComplianceIntegrations
Rapidminer67 · StrongFreemiumCloud, On-Premise, Hybrid8
Celonis Process Intelligence70 · StrongEnterpriseCloud, On-Premise, Hybrid8
Dataiku DSS70 · StrongEnterpriseCloud, On-Premise, Hybrid8
DataBricks AutoML68 · StrongEnterpriseCloud, Hybrid, Self-Hosted8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Rapidminer used for?

Rapidminer is enterprise AI and analytics solution for data preparation, machine learning, knowledge graphs, and GenAI. It is commonly used for customer churn prediction, fraud detection, predictive maintenance, and sales forecasting.

Is Rapidminer free, and how is it priced?

Rapidminer offers a free tier, with paid plans that add capacity and features.

How can Rapidminer be deployed?

Rapidminer supports Cloud, On-Premise, and Hybrid deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does Rapidminer integrate with?

Rapidminer documents 8 integrations, including Salesforce, Microsoft Azure, AWS, Google Cloud, Tableau, and Snowflake.

When was Rapidminer founded?

Rapidminer was founded in 2007 and has raised $36M in funding.

Is Rapidminer enterprise-ready?

Based on cataloged data, Rapidminer has an Enterprise Readiness score of 67/100 (Strong tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingFreemium
DeploymentCloud, On-Premise, Hybrid
Founded2007
Funding$36M

Procurement

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