Azure Functions vs Sequelize

Overview

Sequelize

Stacks1.0K

Followers1.4K

Votes143

GitHub Stars30.2K

Forks4.3K

Azure Functions

Stacks785

Followers705

Votes62

Azure Functions vs Sequelize: What are the differences?

Performance: Azure Functions provide a serverless compute service that scales based on demand, allowing for better performance handling fluctuating workloads. Sequelize, on the other hand, is an ORM (Object-Relational Mapping) library for Node.js that assists in interacting with databases, offering more control over performance optimizations at the application level.
Function Type: Azure Functions are event-driven, allowing developers to define specific functions to trigger based on events. Sequelize, however, focuses on data modeling and querying, enabling structured interactions with databases through model definitions.
Scalability: Azure Functions automatically scale based on incoming events or requests, ensuring high availability and scalability without manual intervention. Sequelize's scalability relies on the underlying database system and data modeling strategies chosen by the developer.
Cost Structure: Azure Functions operate on a consumption-based billing model, where you only pay for the resources consumed by your functions. Sequelize is open-source and typically does not incur direct costs, aside from potential database hosting expenses.
Supported Integrations: Azure Functions seamlessly integrate with other Azure services and third-party tools, offering a wide range of capabilities and extensibility options. Sequelize primarily focuses on database integrations and offers compatibility with various SQL and NoSQL databases.
Development Flexibility: Azure Functions enable rapid development of small, focused functions that can be independently deployed and managed. Sequelize, as an ORM, provides a structured approach to database interactions but may require additional configuration for complex data models or queries.

In Summary, Azure Functions excel in serverless event-driven computing with flexible scalability, cost-efficient billing, and seamless integrations, while Sequelize offers robust data modeling capabilities and fine-grained control over database interactions.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on Sequelize, Azure Functions

Mark

Nov 2, 2020

Needs adviceon

Microsoft Azure

Need advice on what platform, systems and tools to use.

Evaluating whether to start a new digital business for which we will need to build a website that handles all traffic. Website only right now. May add smartphone apps later. No desktop app will ever be added. Website to serve various countries and languages. B2B and B2C type customers. Need to handle heavy traffic, be low cost, and scale well.

We are open to either build it on AWS or on Microsoft Azure.

Apologies if I'm leaving out some info. My first post. :) Thanks in advance!

133k views133k

Comments

Detailed Comparison

Sequelize	Azure Functions
Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.	Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.
-	Easily schedule event-driven tasks across services;Expose Functions as HTTP API endpoints;Scale Functions based on customer demand;Develop how you want, using a browser-based UI or existing tools;Get continuous deployment, remote debugging, and authentication out of the box
Statistics
GitHub Stars 30.2K	GitHub Stars -
GitHub Forks 4.3K	GitHub Forks -
Stacks 1.0K	Stacks 785
Followers 1.4K	Followers 705
Votes 143	Votes 62
Pros & Cons
Pros 42 Good ORM for node.js 31 Easy setup 21 Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite 14 Open source 13 Free Cons 30 Docs are awful 10 Relations can be confusing	Pros 14 Pay only when invoked 11 Great developer experience for C# 9 Multiple languages supported 7 Great debugging support 5 Can be used as lightweight https service Cons 1 Not suited for long-running applications 1 Poor support for Linux environments 1 Sporadic server & language runtime issues 1 No persistent (writable) file system available
Integrations
SQLite Microsoft SQL Server Node.js PostgreSQL MySQL MariaDB io.js	Azure DevOps Java Bitbucket Node.js Microsoft Azure GitHub Visual Studio Code JavaScript Azure Cosmos DB C#

What are some alternatives to Sequelize, Azure Functions?

AWS Lambda

AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

Google Cloud Run

A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

Hibernate

Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

Doctrine 2

Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.

Serverless

Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.

Google Cloud Functions

Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running

MikroORM

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases.

Knative

Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center

Entity Framework

It is an object-relational mapper that enables .NET developers to work with relational data using domain-specific objects. It eliminates the need for most of the data-access code that developers usually need to write.

Related Comparisons

Azure Functions vs Sequelize: What are the differences?

Performance: Azure Functions provide a serverless compute service that scales based on demand, allowing for better performance handling fluctuating workloads. Sequelize, on the other hand, is an ORM (Object-Relational Mapping) library for Node.js that assists in interacting with databases, offering more control over performance optimizations at the application level.
Function Type: Azure Functions are event-driven, allowing developers to define specific functions to trigger based on events. Sequelize, however, focuses on data modeling and querying, enabling structured interactions with databases through model definitions.
Scalability: Azure Functions automatically scale based on incoming events or requests, ensuring high availability and scalability without manual intervention. Sequelize's scalability relies on the underlying database system and data modeling strategies chosen by the developer.
Cost Structure: Azure Functions operate on a consumption-based billing model, where you only pay for the resources consumed by your functions. Sequelize is open-source and typically does not incur direct costs, aside from potential database hosting expenses.
Supported Integrations: Azure Functions seamlessly integrate with other Azure services and third-party tools, offering a wide range of capabilities and extensibility options. Sequelize primarily focuses on database integrations and offers compatibility with various SQL and NoSQL databases.
Development Flexibility: Azure Functions enable rapid development of small, focused functions that can be independently deployed and managed. Sequelize, as an ORM, provides a structured approach to database interactions but may require additional configuration for complex data models or queries.

Azure Functions vs Sequelize

Overview