Open Source Java Cloud Services Software

Browse free open source Java Cloud Services Software and projects below. Use the toggles on the left to filter open source Java Cloud Services Software by OS, license, language, programming language, and project status.

  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
    Start Free
  • 1
    Seata

    Seata

    An easy-to-use, high-performance distributed transaction solution

    Seata, or Simple Extensible Autonomous Transaction Architecture is an open source distributed transaction solution that brings high performance and easy-to-use distributed transaction services under a microservices architecture. It has 3 basic components: a Transaction Coordinator for maintaining the status of global and branch transactions; a Transaction Manager that defines the scope of global transaction; and a Resource Manager that manages resources being worked on by branch transactions, and drives branch transaction commit or rollback. Seata has played a pivotal role of distributed consistency Middleware in Ali economy, and has provided strong support for businesses of all departments. It continues to be used and trusted by dozens of other companies.
    Downloads: 8 This Week
    Last Update:
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  • 2
    Seldon Server

    Seldon Server

    Machine learning platform and recommendation engine on Kubernetes

    Seldon Server is a machine learning platform and recommendation engine built on Kubernetes. Seldon reduces time-to-value so models can get to work faster. Scale with confidence and minimize risk through interpretable results and transparent model performance. Seldon Core focuses purely on deploying a wide range of ML models on Kubernetes, allowing complex runtime serving graphs to be managed in production. Seldon Core is a progression of the goals of the Seldon-Server project but also a more restricted focus to solving the final step in a machine learning project which is serving models in production. Seldon Server is a machine learning platform that helps your data science team deploy models into production. It provides an open-source data science stack that runs within a Kubernetes Cluster. You can use Seldon to deploy machine learning and deep learning models into production on-premise or in the cloud (e.g. GCP, AWS, Azure).
    Downloads: 8 This Week
    Last Update:
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  • 3
    dotCMS

    dotCMS

    dotCMS helps enterprises create, manage and deliver content anywhere.

    dotCMS is a visual, headless CMS built for compliance-led enterprises that need to manage and scale digital content across brands, regions, and channels. From streamlining governance to enabling visual editing at scale, dotCMS powers global organizations like Telus and BNP Paribas to consolidate platforms, reduce overhead, and launch faster. Whether you're managing 10 or 1,000+ sites, dotCMS brings flexibility, security, and efficiency to enterprise content operations.
    Downloads: 0 This Week
    Last Update:
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