solutions de données cloud

  • Build and deploy scalable AI applications with Morph's secure Python framework.
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    What is Morph?
    Morph helps users quickly build AI apps that can be securely deployed with ease. The platform supports connections to data sources like BigQuery and Snowflake, and allows for data processing using OpenAI APIs and ML models in Python. With Morph, you can create interactive screens in Markdown and share them via URLs. Additionally, the framework comes pre-equipped with role-based access control and advanced security features to ensure your data is protected.
    Morph Core Features
    • Python framework
    • Data connectors
    • Authentication
    • CI/CD automation
    • Role-based access control
    • Markdown support
    Morph Pro & Cons

    The Cons

    The Pros

    Fast, secure, and performant platform for building AI applications.
    Supports integration with major databases like PostgreSQL, BigQuery, and Snowflake.
    Offers role-based access control and advanced security compliance.
    Enables sharing apps via URL with restricted access.
    Supports automation of data workflows through scheduled execution.
    Extensible with Python and React packages.
    Open source with Git repository management for collaboration.
    Morph Pricing
    Has free planYES
    Free trial details
    Pricing modelFreemium
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyMonthly

    Details of Pricing Plan

    Free

    0 USD
    • Up to 1 User
    • Up to 5 Project
    • Github integration

    Pro

    15 USD
    • Everything in Free
    • Team collaboration
    • More projects deployment
    • Local LLM deployment with Ollama
    For the latest prices, please visit: https://www.morph-data.io
  • Datagran's no-code platform connects apps, runs ML models, and automates workflows for enhanced team collaboration.
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    What is Datagran?
    Datagran is a no-code cloud data platform that allows users to connect different business applications, run machine learning models, and automate workflows. The platform is designed to embed data into everyday software, enabling actionable insights and collaborative efforts across teams. Users can receive real-time alerts on platforms like Slack, WhatsApp, or Teams and interact with apps using natural language. Datagran also features an improved UX divided into key sections to facilitate seamless navigation and data operations.
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