AWS Lambda vs Sequelize

Overview

AWS Lambda

Stacks26.0K

Followers18.8K

Votes432

Sequelize

Stacks1.0K

Followers1.4K

Votes143

GitHub Stars30.2K

Forks4.3K

AWS Lambda vs Sequelize: What are the differences?

Introduction:
AWS Lambda and Sequelize are two popular technologies used in cloud computing and database management. Here are the key differences between AWS Lambda and Sequelize:

1. **Execution Environment**:
AWS Lambda is a serverless computing service that allows developers to run code without provisioning or managing servers. On the other hand, Sequelize is an ORM (Object-Relational Mapping) that simplifies database interactions by mapping database rows to objects in Javascript.

2. **Scaling**:
AWS Lambda automatically scales based on the incoming traffic, allowing high availability and performance without manual intervention. In contrast, Sequelize does not have built-in auto-scaling capabilities, and developers need to manage the scaling of database resources manually.

3. **Pricing Model**:
AWS Lambda follows a pay-as-you-go model, where you only pay for the actual compute time consumed by your code. Sequelize, being an open-source library, is free to use but may involve costs related to managing the underlying database services.

4. **Functionality**:
AWS Lambda is primarily used for event-driven and serverless applications, where code is executed in response to specific triggers. Sequelize, on the other hand, focuses on data modeling and querying in relational databases, enhancing the development of database-driven applications.

5. **Vendor Lock-in**:
Using AWS Lambda ties you to the AWS ecosystem, making it difficult to migrate to other cloud providers. Sequelize, as an ORM, offers more flexibility in terms of database choices, allowing developers to switch between different databases without much hassle.

6. **Community Support**:
AWS Lambda has a large and active community that provides resources, tutorials, and support for developers. Sequelize also has a strong community backing but might not be as extensive as that of AWS Lambda due to the specialized nature of ORM tools.

In Summary, AWS Lambda and Sequelize differ in their execution environment, scaling capabilities, pricing models, functionality, vendor lock-in, and community support.

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Advice on AWS Lambda, Sequelize

Tim

CTO at Checkly Inc.

Sep 18, 2019

Needs adviceon

Heroku

AWS Lambda

When adding a new feature to Checkly rearchitecting some older piece, I tend to pick Heroku for rolling it out. But not always, because sometimes I pick AWS Lambda . The short story:

Developer Experience trumps everything.
AWS Lambda is cheap. Up to a limit though. This impact not only your wallet.
If you need geographic spread, AWS is lonely at the top.

The setup

Recently, I was doing a brainstorm at a startup here in Berlin on the future of their infrastructure. They were ready to move on from their initial, almost 100% Ec2 + Chef based setup. Everything was on the table. But we crossed out a lot quite quickly:

Pure, uncut, self hosted Kubernetes — way too much complexity
Managed Kubernetes in various flavors — still too much complexity
Zeit — Maybe, but no Docker support
Elastic Beanstalk — Maybe, bit old but does the job
Heroku
Lambda

It became clear a mix of PaaS and FaaS was the way to go. What a surprise! That is exactly what I use for Checkly! But when do you pick which model?

I chopped that question up into the following categories:

Developer Experience / DX 🤓
Ops Experience / OX 🐂 (?)
Cost 💵
Lock in 🔐

Read the full post linked below for all details

357k views357k

Comments

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

AWS Lambda	Sequelize
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.	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.
Extend other AWS services with custom logic;Build custom back-end services;Completely Automated Administration;Built-in Fault Tolerance;Automatic Scaling;Integrated Security Model;Bring Your Own Code;Pay Per Use;Flexible Resource Model	-
Statistics
GitHub Stars -	GitHub Stars 30.2K
GitHub Forks -	GitHub Forks 4.3K
Stacks 26.0K	Stacks 1.0K
Followers 18.8K	Followers 1.4K
Votes 432	Votes 143
Pros & Cons
Pros 129 No infrastructure 83 Cheap 70 Quick 59 Stateless 47 No deploy, no server, great sleep Cons 7 Cant execute ruby or go 3 Compute time limited 1 Can't execute PHP w/o significant effort	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
Integrations
No integrations available	SQLite Microsoft SQL Server Node.js PostgreSQL MySQL MariaDB io.js

What are some alternatives to AWS Lambda, Sequelize?

Azure Functions

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.

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

AWS Lambda vs Sequelize: What are the differences?

Introduction:
AWS Lambda and Sequelize are two popular technologies used in cloud computing and database management. Here are the key differences between AWS Lambda and Sequelize:

1. **Execution Environment**:
AWS Lambda is a serverless computing service that allows developers to run code without provisioning or managing servers. On the other hand, Sequelize is an ORM (Object-Relational Mapping) that simplifies database interactions by mapping database rows to objects in Javascript.

2. **Scaling**:
AWS Lambda automatically scales based on the incoming traffic, allowing high availability and performance without manual intervention. In contrast, Sequelize does not have built-in auto-scaling capabilities, and developers need to manage the scaling of database resources manually.

3. **Pricing Model**:
AWS Lambda follows a pay-as-you-go model, where you only pay for the actual compute time consumed by your code. Sequelize, being an open-source library, is free to use but may involve costs related to managing the underlying database services.

4. **Functionality**:
AWS Lambda is primarily used for event-driven and serverless applications, where code is executed in response to specific triggers. Sequelize, on the other hand, focuses on data modeling and querying in relational databases, enhancing the development of database-driven applications.

5. **Vendor Lock-in**:
Using AWS Lambda ties you to the AWS ecosystem, making it difficult to migrate to other cloud providers. Sequelize, as an ORM, offers more flexibility in terms of database choices, allowing developers to switch between different databases without much hassle.

6. **Community Support**:
AWS Lambda has a large and active community that provides resources, tutorials, and support for developers. Sequelize also has a strong community backing but might not be as extensive as that of AWS Lambda due to the specialized nature of ORM tools.

In Summary, AWS Lambda and Sequelize differ in their execution environment, scaling capabilities, pricing models, functionality, vendor lock-in, and community support.

AWS Lambda vs Sequelize

Overview