Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Sequelize
Sequelize

256
216
+ 1
37
Serverless
Serverless

451
357
+ 1
17
Add tool

Sequelize vs Serverless: What are the differences?

Developers describe Sequelize as "Easy-to-use multi sql dialect ORM for Node.js & io.js". 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. On the other hand, Serverless is detailed as "The most widely-adopted toolkit for building serverless applications". 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.

Sequelize and Serverless are primarily classified as "Object Relational Mapper (ORM)" and "Serverless / Task Processing" tools respectively.

"Good ORM for node.js" is the top reason why over 17 developers like Sequelize, while over 10 developers mention "API integration " as the leading cause for choosing Serverless.

Sequelize and Serverless are both open source tools. It seems that Serverless with 30.9K GitHub stars and 3.43K forks on GitHub has more adoption than Sequelize with 19.2K GitHub stars and 3.01K GitHub forks.

According to the StackShare community, Serverless has a broader approval, being mentioned in 117 company stacks & 44 developers stacks; compared to Sequelize, which is listed in 38 company stacks and 33 developer stacks.

What is Sequelize?

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.

What is 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.
Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Why do developers choose Sequelize?
Why do developers choose Serverless?

Sign up to add, upvote and see more prosMake informed product decisions

    Be the first to leave a con
      Be the first to leave a con
      What companies use Sequelize?
      What companies use Serverless?

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Sequelize?
      What tools integrate with Serverless?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to Sequelize and Serverless?
      Marvel
      A super simple tool that turns any image (including PSDs) or sketch into interactive prototypes for any device. Powered by Dropbox.
      Hibernate
      Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.
      SQLAlchemy
      SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
      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.
      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.
      See all alternatives
      Decisions about Sequelize and Serverless
      Nitzan Shapira
      Nitzan Shapira
      at Epsagon · | 10 upvotes · 93K views
      atEpsagonEpsagon
      AWS Lambda
      AWS Lambda
      GitHub
      GitHub
      Java
      Java
      Go
      Go
      Node.js
      Node.js
      npm
      npm
      Serverless
      Serverless
      Python
      Python

      At Epsagon, we use hundreds of AWS Lambda functions, most of them are written in Python, and the Serverless Framework to pack and deploy them. One of the issues we've encountered is the difficulty to package external libraries into the Lambda environment using the Serverless Framework. This limitation is probably by design since the external code your Lambda needs can be usually included with a package manager.

      In order to overcome this issue, we've developed a tool, which we also published as open-source (see link below), which automatically packs these libraries using a simple npm package and a YAML configuration file. Support for Node.js, Go, and Java will be available soon.

      The GitHub respoitory: https://github.com/epsagon/serverless-package-external

      See more
      Michal Nowak
      Michal Nowak
      Co-founder at Evojam · | 7 upvotes · 49.9K views
      atEvojamEvojam
      Azure Functions
      Azure Functions
      Firebase
      Firebase
      AWS Lambda
      AWS Lambda
      Serverless
      Serverless

      In a couple of recent projects we had an opportunity to try out the new Serverless approach to building web applications. It wasn't necessarily a question if we should use any particular vendor but rather "if" we can consider serverless a viable option for building apps. Obviously our goal was also to get a feel for this technology and gain some hands-on experience.

      We did consider AWS Lambda, Firebase from Google as well as Azure Functions. Eventually we went with AWS Lambdas.

      PROS
      • No servers to manage (obviously!)
      • Limited fixed costs – you pay only for used time
      • Automated scaling and balancing
      • Automatic failover (or, at this level of abstraction, no failover problem at all)
      • Security easier to provide and audit
      • Low overhead at the start (with the certain level of knowledge)
      • Short time to market
      • Easy handover - deployment coupled with code
      • Perfect choice for lean startups with fast-paced iterations
      • Augmentation for the classic cloud, server(full) approach
      CONS
      • Not much know-how and best practices available about structuring the code and projects on the market
      • Not suitable for complex business logic due to the risk of producing highly coupled code
      • Cost difficult to estimate (helpful tools: serverlesscalc.com)
      • Difficulty in migration to other platforms (Vendor lock⚠️)
      • Little engineers with experience in serverless on the job market
      • Steep learning curve for engineers without any cloud experience

      More details are on our blog: https://evojam.com/blog/2018/12/5/should-you-go-serverless-meet-the-benefits-and-flaws-of-new-wave-of-cloud-solutions I hope it helps 🙌 & I'm curious of your experiences.

      See more
      Julien DeFrance
      Julien DeFrance
      Full Stack Engineering Manager at ValiMail · | 2 upvotes · 12K views
      atSmartZipSmartZip
      Amazon SageMaker
      Amazon SageMaker
      Amazon Machine Learning
      Amazon Machine Learning
      AWS Lambda
      AWS Lambda
      Serverless
      Serverless
      #FaaS
      #GCP
      #PaaS

      Which #IaaS / #PaaS to chose? Not all #Cloud providers are created equal. As you start to use one or the other, you'll build around very specific services that don't have their equivalent elsewhere.

      Back in 2014/2015, this decision I made for SmartZip was a no-brainer and #AWS won. AWS has been a leader, and over the years demonstrated their capacity to innovate, and reducing toil. Like no other.

      Year after year, this kept on being confirmed, as they rolled out new (managed) services, got into Serverless with AWS Lambda / FaaS And allowed domains such as #AI / #MachineLearning to be put into the hands of every developers thanks to Amazon Machine Learning or Amazon SageMaker for instance.

      Should you compare with #GCP for instance, it's not quite there yet. Building around these managed services, #AWS allowed me to get my developers on a whole new level. Where they know what's under the hood. Where they know they have these services available and can build around them. Where they care and are responsible for operations and security and deployment of what they've worked on.

      See more
      Aviad Mor
      Aviad Mor
      CTO & Co-Founder at Lumigo · | 5 upvotes · 8.7K views
      atLumigoLumigo
      Serverless
      Serverless
      CircleCI
      CircleCI
      AWS Lambda
      AWS Lambda

      Our backend is serverless based, with many AWS Lambda , with CI/CD, using CircleCI and Serverless. This allows to develop with awesome agility and move fast. Since we update our lambdas daily, we needed a way to make sure we did not run into AWS's max limit of versions per lambda. We use the open source in link below to clear them out and stay clear of the limit.

      See more
      Aliadoc Team
      Aliadoc Team
      at aliadoc.com · | 5 upvotes · 58K views
      atAliadocAliadoc
      Bitbucket
      Bitbucket
      Visual Studio Code
      Visual Studio Code
      Serverless
      Serverless
      Google Cloud Storage
      Google Cloud Storage
      Google App Engine
      Google App Engine
      Cloud Functions for Firebase
      Cloud Functions for Firebase
      Firebase
      Firebase
      CloudFlare
      CloudFlare
      Create React App
      Create React App
      React
      React
      #Aliadoc

      In #Aliadoc, we're exploring the crowdfunding option to get traction before launch. We are building a SaaS platform for website design customization.

      For the Admin UI and website editor we use React and we're currently transitioning from a Create React App setup to a custom one because our needs have become more specific. We use CloudFlare as much as possible, it's a great service.

      For routing dynamic resources and proxy tasks to feed websites to the editor we leverage CloudFlare Workers for improved responsiveness. We use Firebase for our hosting needs and user authentication while also using several Cloud Functions for Firebase to interact with other services along with Google App Engine and Google Cloud Storage, but also the Real Time Database is on the radar for collaborative website editing.

      We generally hate configuration but honestly because of the stage of our project we lack resources for doing heavy sysops work. So we are basically just relying on Serverless technologies as much as we can to do all server side processing.

      Visual Studio Code definitively makes programming a much easier and enjoyable task, we just love it. We combine it with Bitbucket for our source code control needs.

      See more
      Tim Nolet
      Tim Nolet
      Founder, Engineer & Dishwasher at Checkly · | 5 upvotes · 14.3K views
      atChecklyHQChecklyHQ
      Node.js
      Node.js
      Google Cloud Functions
      Google Cloud Functions
      Azure Functions
      Azure Functions
      Amazon CloudWatch
      Amazon CloudWatch
      Serverless
      Serverless
      AWS Lambda
      AWS Lambda

      AWS Lambda Serverless Amazon CloudWatch Azure Functions Google Cloud Functions Node.js

      In the last year or so, I moved all Checkly monitoring workloads to AWS Lambda. Here are some stats:

      • We run three core functions in all AWS regions. They handle API checks, browser checks and setup / teardown scripts. Check our docs to find out what that means.
      • All functions are hooked up to SNS topics but can also be triggered directly through AWS SDK calls.
      • The busiest function is a plumbing function that forwards data to our database. It is invoked anywhere between 7000 and 10.000 times per hour with an average duration of about 179 ms.
      • We run separate dev and test versions of each function in each region.

      Moving all this to AWS Lambda took some work and considerations. The blog post linked below goes into the following topics:

      • Why Lambda is an almost perfect match for SaaS. Especially when you're small.
      • Why I don't use a "big" framework around it.
      • Why distributed background jobs triggered by queues are Lambda's raison d'être.
      • Why monitoring & logging is still an issue.

      https://blog.checklyhq.com/how-i-made-aws-lambda-work-for-my-saas/

      See more
      Praveen Mooli
      Praveen Mooli
      Technical Leader at Taylor and Francis · | 11 upvotes · 95.4K views
      MongoDB Atlas
      MongoDB Atlas
      Amazon S3
      Amazon S3
      Amazon DynamoDB
      Amazon DynamoDB
      Amazon RDS
      Amazon RDS
      Serverless
      Serverless
      Docker
      Docker
      Terraform
      Terraform
      Travis CI
      Travis CI
      GitHub
      GitHub
      RxJS
      RxJS
      Angular 2
      Angular 2
      AWS Lambda
      AWS Lambda
      Amazon SQS
      Amazon SQS
      Amazon SNS
      Amazon SNS
      Amazon Kinesis Firehose
      Amazon Kinesis Firehose
      Amazon Kinesis
      Amazon Kinesis
      Flask
      Flask
      Python
      Python
      ExpressJS
      ExpressJS
      Node.js
      Node.js
      Spring Boot
      Spring Boot
      Java
      Java
      #Data
      #Devops
      #Webapps
      #Eventsourcingframework
      #Microservices
      #Backend

      We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.

      To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas

      To build #Webapps we decided to use Angular 2 with RxJS

      #Devops - GitHub , Travis CI , Terraform , Docker , Serverless

      See more
      Interest over time
      Reviews of Sequelize and Serverless
      No reviews found
      How developers use Sequelize and Serverless
      Avatar of Ralic Lo
      Ralic Lo uses SequelizeSequelize

      Used it for full stack web application development, especially to interact with MySQL/ MariaDB / PostgreSQL server.

      Avatar of betterPT
      betterPT uses ServerlessServerless

      We use AWS Lambda / Serverless as a Facade for out integrations with EMRs.

      Avatar of toby lin
      toby lin uses SequelizeSequelize

      ORM for mysql with express. so far so good

      Avatar of JimmyCode
      JimmyCode uses ServerlessServerless

      Oh yeah! We run on lambdas.

      How much does Sequelize cost?
      How much does Serverless cost?
      Pricing unavailable
      Pricing unavailable
      News about Sequelize
      More news
      News about Serverless
      More news