• 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.
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  • Fully Managed MySQL, PostgreSQL, and SQL Server Icon
    Fully Managed MySQL, PostgreSQL, and SQL Server

    Automatic backups, patching, replication, and failover. Focus on your app, not your database.

    Cloud SQL handles your database ops end to end, so you can focus on your app.
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  • 1
    Sequelize

    Sequelize

    A promise-based multi SQL dialect Node.js ORM

    Sequelize is a promise-based Node.js ORM for Postgres, MySQL, MariaDB, SQLite and Microsoft SQL Server. It features solid transaction support, relations, eager and lazy loading, read replication and more. Sequelize follows SEMVER. Supports Node v6 and above to use ES6 features. Sequelize v5 was released on March 13, 2019. Official TypeScript typings are now included. Sequelize can be used since the beginning in order to automate the creation of every table in your database. Models are the essence of Sequelize. A model is an abstraction that represents a table in your database. In Sequelize, it is a class that extends Model. ...
    Downloads: 1 This Week
    Last Update:
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  • 2
    waterline

    waterline

    ORM for Node.js with support for mysql, mongo, postgres, mssql

    ...It provides an abstraction layer on top of the underlying database, allowing you to easily query and manipulate your data without writing vendor-specific integration code. Waterline query syntax floats above all that, focusing on business logic like creating new records, fetching/searching existing records, updating records, or destroying records.
    Downloads: 2 This Week
    Last Update:
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