Apache Mahout on Ubuntu26
Anarion Technologies · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Apache Mahout is a scalable machine learning library designed to build distributed data mining and analytics applications. Powered by Apache Spark, Mahout provides efficient implementations of machine learning algorithms for clustering, classification, collaborative filtering, recommendation systems, and similarity analysis. It enables organizations and developers to process large-scale datasets while leveraging distributed computing for high performance and scalability.
Apache Mahout offers a flexible mathematical environment and distributed linear algebra framework that simplifies the development of machine learning workflows. It supports advanced analytics tasks such as item similarity, row similarity, matrix factorization, and recommendation engines. Mahout integrates seamlessly with Apache Spark, making it well suited for big data analytics, enterprise data processing, research, and production machine learning workloads.
Show the rest of the publisher’s description (3 more lines)
One of Apache Mahout's key strengths is its scalable distributed execution model, allowing machine learning algorithms to efficiently process massive datasets across multiple compute nodes. Its Spark-based architecture provides improved performance, fault tolerance, and the ability to handle complex analytical operations with minimal code changes. Mahout also includes command-line tools and APIs that simplify deployment and experimentation with distributed machine learning algorithms.
This virtual machine image comes pre-configured with Apache Mahout 14.1, Apache Spark 3.5.6, Apache Maven 3.8.8, OpenJDK 17, and Ubuntu 26.04 LTS, providing a secure and production-ready environment. The image is optimized for recommendation systems, predictive analytics, similarity computation, clustering, distributed machine learning, and large-scale data processing, enabling users to start developing and running analytics workloads immediately after deployment.
Disclaimer: This VM offer contains free and open-source software. Anarion Technologies does not offer a commercial license for the product mentioned above. All product and company names are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
2 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.