Microsoft SQL Server vs Sequelize: What are the differences?
Microsoft SQL Server: A relational database management system developed by Microsoft. Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions; Sequelize: 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.
Microsoft SQL Server and Sequelize are primarily classified as "Databases" and "Object Relational Mapper (ORM)" tools respectively.
"Reliable and easy to use" is the top reason why over 134 developers like Microsoft SQL Server, while over 17 developers mention "Good ORM for node.js" as the leading cause for choosing Sequelize.
Sequelize is an open source tool with 19.2K GitHub stars and 3.01K GitHub forks. Here's a link to Sequelize's open source repository on GitHub.
Stack Exchange, Microsoft, and MIT are some of the popular companies that use Microsoft SQL Server, whereas Sequelize is used by WebbyLab, Decision6, and Hostr. Microsoft SQL Server has a broader approval, being mentioned in 478 company stacks & 443 developers stacks; compared to Sequelize, which is listed in 38 company stacks and 33 developer stacks.
What is Microsoft SQL Server?
What is Sequelize?
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We initially started out with Heroku as our PaaS provider due to a desire to use it by our original developer for our Ruby on Rails application/website at the time. We were finding response times slow, it was painfully slow, sometimes taking 10 seconds to start loading the main page. Moving up to the next "compute" level was going to be very expensive.
We moved our site over to AWS Elastic Beanstalk , not only did response times on the site practically become instant, our cloud bill for the application was cut in half.
In database world we are currently using Amazon RDS for PostgreSQL also, we have both MariaDB and Microsoft SQL Server both hosted on Amazon RDS. The plan is to migrate to AWS Aurora Serverless for all 3 of those database systems.
Additional services we use for our public applications: AWS Lambda, Python, Redis, Memcached, AWS Elastic Load Balancing (ELB), Amazon Elasticsearch Service, Amazon ElastiCache
We've always counted on SQL Server as our database backend. It has served us well over the years. It isn't the cheapest part of our stack, but with the plethora of tools provided by 3rd parties, we have found an incredible and scalable method of keeping our data available and easy to maintain.
Defacto, industry standard for backend relational databases. Entity Framework makes designing, migrating & maintaining SQL Server databases a breeze. LocalDB is especially helpful during development.
Our core systems that we integrate with are using SQL Server 2012 / 2016 database servers. We use database views on core system databases to help build our domain model.
Main transactional database. SQL Server 2012 Enterprise with AlwaysOn Availability Groups for high availability and disaster recovery.
Used it for full stack web application development, especially to interact with MySQL/ MariaDB / PostgreSQL server.
Managing script output and input, as well as data cleansing.