emgee3emgee3
16

Meteor Mssql

screenshot of Meteor Mssql

Non-reactive SQL Server support for Meteor

Github

Overview

The mssql for Meteor package serves as a robust wrapper around the mssql Node library, allowing for seamless integration with Microsoft SQL Server. It enables developers to perform non-reactive queries, offering a straightforward API that can be leveraged in Meteor applications. With its server-side focus, it primarily serves as a bridge between Meteor and the powerful features of SQL Server, making it an excellent choice for developers looking to enhance their Meteor apps with reliable database capabilities.

This package stands out with its efficient handling of database connections and queries, such as the use of prepared statements and stored procedures. Its design ensures that developers have flexible access to all the robust features of the underlying mssql library while keeping the integration smooth and straightforward.

Features

  • Server-Side API: The API is available as Sql, designed specifically for server-side interactions, making it easy to access database functionalities within your Meteor app.

  • Non-Reactive Queries: Leverage non-reactive queries which allow for a simpler way to handle database operations without the overhead of reactive data tracking.

  • Database Connection Management: Connection settings are directly pulled from Meteor.settings, providing a secure and organized way to manage database credentials.

  • Encryption Support: For Azure MSSQL DBaaS, the package requires an encrypted connection, with simple options to enable this feature by adding encrypt: true.

  • Prepared Statements: Sql.ps facilitates the creation of prepared statements, enhancing performance for multiple calls by caching the query plan.

  • Stored Procedures: Sql.sp allows easy invocation of stored procedures, offering more flexibility and reusability in database queries.

  • Method Wrapping: Results can be delivered to the client by wrapping database calls in Meteor methods, allowing for clean and efficient data handling.

  • Comprehensive Query Capability: With Sql.q, you can run direct queries against the database, supporting parameterization for enhanced security and performance.