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Cloudera Machine Learning

Cloudera Machine Learning offers integrated no-code and full-code tools to accelerate AI development and deploy models at scale.

Publicly TradedCLDRpublic

machine learningdata sciencegovernanceenterprise

About

The vendor states that Cloudera Machine Learning provides integrated no-code and full-code tools to accelerate AI development. It allows users to deploy, serve, and manage any model across cloud or on-premises environments at scale. The platform is designed for private AI, keeping sensitive data and models private with end-to-end governance. Key features include AI Workbench for building AI applications and agents with secure, governed access to data and compute, and Cloudera AI Studios to simplify GenAI application and agent development. Cloudera Accelerators for Machine Learning Projects (AMPs) offer ready-to-deploy reference solutions. Cloudera AI Assistants provide embedded GenAI tools, and the Cloudera AI Inference service allows deployment and management of AI models with privacy across environments, including NVIDIA NIM support for optimized LLMs.

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

Enterprise Readiness

from cataloged data

65/100 · Strong

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, Hybrid, Self-Hosted

Integration DepthStrong

4 documented integrations

Proven AdoptionPartial

5 documented use cases

Company MaturityStrong

Founded 2008 · public

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 1d ago

GitHub API2026-05-27

cloudera

Open source product· 1.4k★· Apache-2.0· active 3mo ago

Python · Jupyter Notebook · Java · Shell

falling · -4★ (-0.3%) 30d

Status page2026-05-11

Operational

operational· via statuspage· 2 incidents (90d)

OSV vulnerability feed2026-08-24

No known advisories

Enterprise Use Cases

predictive analytics

data science

machine learning

data governance

compliance

Integrations

Apache HiveApache SparkKafkaHBase

How Cloudera Machine Learning compares

Tool	Readiness	Pricing	Deployment	Compliance	Integrations
Cloudera Machine Learning	65 · Strong	Enterprise	Cloud, Hybrid, Self-Hosted	—	4
RapidMiner AI	Not scored	Enterprise	Cloud, Hybrid, Self-Hosted	—	5
BigID AI	58 · Established	Enterprise	Cloud, Hybrid	—	5
Domino	58 · Established	Enterprise	Cloud, Hybrid	—	5

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 Cloudera Machine Learning used for?

Cloudera Machine Learning is cloudera Machine Learning offers integrated no-code and full-code tools to accelerate AI development and deploy models at scale. It is commonly used for predictive analytics, data science, machine learning, and data governance.

Is Cloudera Machine Learning free, and how is it priced?

Cloudera Machine Learning uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can Cloudera Machine Learning be deployed?

Cloudera Machine Learning supports Cloud, Hybrid, and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does Cloudera Machine Learning integrate with?

Cloudera Machine Learning documents 4 integrations, including Apache Hive, Apache Spark, Kafka, and HBase.

When was Cloudera Machine Learning founded?

Cloudera Machine Learning was founded in 2008.

Is Cloudera Machine Learning enterprise-ready?

Based on cataloged data, Cloudera Machine Learning has an Enterprise Readiness score of 65/100 (Strong tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingEnterprise

DeploymentCloud, Hybrid, Self-Hosted

Founded2008

CategoryLegal & Compliance AI

Procurement

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