Apache DataSketches 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 DataSketches is a high-performance open-source library for approximate data analysis, enabling fast, memory-efficient processing of large-scale datasets using probabilistic data structures.
This virtual machine comes pre-installed with Apache DataSketches 9.x on Ubuntu 26.04 LTS, providing a ready-to-use environment for developers, data engineers, and researchers working on streaming analytics, big data processing, and real-time statistics. The image includes OpenJDK 25, Maven, Git, and all required dependencies for building and running DataSketches-based applications without manual setup.
Show the rest of the publisher’s description (11 more lines)
Apache DataSketches supports scalable analytics for cardinality estimation, frequency analysis, quantiles, histograms, and set operations. It is widely used in distributed systems to reduce memory usage while maintaining accurate approximate results, making it suitable for real-time and large-scale data pipelines.
This image is configured with Ubuntu 26.04 LTS and latest security updates, ensuring a stable and production-ready environment for development, testing, and deployment of approximate computing solutions.
Key Features
- Apache DataSketches 9.x pre-installed and configured
- Ubuntu 26.04 LTS production-ready environment
- OpenJDK 25 with Maven build system
- Support for streaming analytics and approximate algorithms
- Efficient memory usage for large-scale data processing
- Pre-configured environment for Java-based analytics development
- Ready for big data, real-time analytics, and observability workloads
Disclaimer: This virtual machine contains free and open-source software. Anarion Technologies does not provide a commercial license for Apache DataSketches. Apache DataSketches and related components are provided under their respective open-source licenses. Their use does not imply any affiliation with or endorsement by the Apache Software Foundation.
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.