Apache Beam on Ubuntu26
Anarion Technologies · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
Apache Beam on Ubuntu26 is a pre-configured virtual machine image designed for developers, data engineers, and organizations that require a fast, reliable, and scalable environment for building and executing data processing pipelines on Microsoft Azure. This image provides Apache Beam pre-installed on Ubuntu 26 along with Python and all required dependencies, enabling users to start developing and running pipelines immediately without the complexity of manual software installation and environment configuration.
Apache Beam is an open-source unified programming model that simplifies the development of both batch and streaming data processing applications. It provides a portable API that allows developers to write data pipelines once and execute them across multiple distributed processing engines. Apache Beam supports a wide range of runners, including Apache Spark, Apache Flink, Google Cloud Dataflow, and Direct Runner for local development and testing.
Show the rest of the publisher’s description (18 more lines)
The platform is optimized for large-scale data processing workloads and offers a flexible architecture for handling structured and unstructured datasets. Developers can leverage Beam's rich set of transforms and SDKs to build ETL pipelines, stream analytics applications, event-driven architectures, and machine learning data preparation workflows. The included Python SDK and supporting libraries provide a ready-to-use development environment for creating and deploying modern data engineering solutions.
This Azure Marketplace image is suitable for real-time data processing, batch ETL pipelines, stream analytics, event-driven data processing, data engineering projects, analytics workloads, and learning or experimentation with Apache Beam. Organizations can accelerate project delivery by deploying a pre-configured environment that eliminates installation overhead and ensures compatibility with widely used data processing frameworks.
Key Features:
- Apache Beam pre-installed and configured
- Ubuntu 26 LTS operating system
- Python SDK with required libraries
- Support for batch and streaming data pipelines
- Ready for local development and testing
- Compatible with runners such as Apache Spark, Apache Flink, and Google Cloud Dataflow
- Easy deployment on Microsoft Azure Marketplace
Use Cases:
- Real-time data processing
- Batch ETL pipelines
- Stream analytics
- Event-driven data processing
- Data engineering and analytics projects
- Learning and experimentation with Apache Beam
Disclaimer: This VM offer contains free and open-source software. Anarion Technologies does not offer a commercial license for Apache Beam. Apache Beam is licensed under the Apache License 2.0. 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
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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.

