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    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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    $300 Free Credits to Build on Google Cloud

    New to Google Cloud? Get $300 in credits to explore Compute Engine, BigQuery, Cloud Run, Gemini Enterprise Agent Platform, and more.

    Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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    MatrixOne

    MatrixOne

    Hyperconverged cloud-edge native database

    MatrixOne is a future-oriented hyperconverged cloud & edge native DBMS that supports transactional, analytical, and streaming workload with a simplified and distributed database engine, across multiple data centers, clouds, edges and other heterogeneous infrastructures. A monolithic database engine is designed to support hybrid workloads: transactional, analytical, streaming, time-series, machine learning, etc. MatrixOne supports seamless workload migration and bursting among different locations and infrastructures. MatrixOne provides industry-leading latency control with optimized consistency protocol. Accelerated queries supported by patented vectorized execution as well as optimal computation push-down strategies through factorization techniques. ...
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  • 2
    NoisePage

    NoisePage

    Self-Driving Database Management System

    NoisePage is a relational database management system (DBMS) designed from the ground up for autonomous deployment. It uses integrated machine learning components to control its configuration, optimization, and tuning. The system will support automated physical database design (e.g., indexes, materialized views, sharding), knob configuration tuning, SQL tuning, and hardware capacity/scaling. Our research focuses on building the system components that support such self-driving operations with little to no human guidance. ...
    Downloads: 0 This Week
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  • 3
    eledSQL

    eledSQL

    Erlangen Learning Environment for Databases and SQL

    The Erlangen Learning Environment for Databases and SQL offers schools and teachers a new way to teach the subjects Databases and SQL. eledSQL was created as part of a bachelor equivalent thesis at the FAU Erlangen-Nuremberg, Didactics of Informatics. Currently available in English and German, but with support for language files. eledSQL is provided under the Creative Commons License CC BY-NC-SA 3.0 (http://creativecommons.org/licenses/by-nc-sa/3.0/) Some of the icons are part of the RRZE Icon Set (http://rrze-icon-set.berlios.de/) and are licensed under the appropriate license.
    Downloads: 0 This Week
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  • 4
    MoMS (Model Management System) is a model management system for statistical models, a little bit like a database management system. Instead of having tables, we have models that can be updated and queried.
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    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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