Microsoft SQL Server vs Sequelize

Overview

Microsoft SQL Server

Stacks21.3K

Followers15.5K

Votes540

Sequelize

Stacks1.0K

Followers1.4K

Votes143

GitHub Stars30.2K

Forks4.3K

Microsoft SQL Server vs Sequelize: What are the differences?

Microsoft SQL Server and Sequelize are two popular tools used in web development for managing and interacting with databases. While Microsoft SQL Server is a relational database management system (RDBMS) developed by Microsoft, Sequelize is an Object-Relational Mapping (ORM) library for Node.js.

Database Type: Microsoft SQL Server is a traditional RDBMS that uses the SQL language for creating, querying, and managing databases. On the other hand, Sequelize is an ORM library that can be used with different databases, including Microsoft SQL Server, MySQL, PostgreSQL, and SQLite. This flexibility allows developers to switch between different databases without having to change their code significantly.
Language Support: Microsoft SQL Server supports the SQL language for database operations. It provides a wide range of SQL functions and features to perform complex queries and data manipulations. Sequelize, on the other hand, uses JavaScript syntax for defining models and querying databases. It provides an abstraction layer over SQL, allowing developers to use JavaScript syntax instead of writing raw SQL queries.
Schema Definition: In Microsoft SQL Server, the database schema is defined using SQL statements. Tables, columns, constraints, and relationships are explicitly created and managed using SQL. Sequelize, on the other hand, allows developers to define the database schema using JavaScript code. Models are created to represent database tables, and relationships between models are defined using associations.
Migration and Versioning: Microsoft SQL Server includes tools and features for database migration and versioning. Developers can create scripts to modify the database schema and apply these scripts in a controlled manner. Sequelize provides built-in migration and versioning features as well. Developers can create migration files that describe the changes to be made in the database schema, and Sequelize can apply these migrations to the database.
Querying and CRUD Operations: Microsoft SQL Server allows developers to write raw SQL queries for interacting with the database. CRUD operations (Create, Read, Update, Delete) can be performed using SQL statements. Sequelize provides a more abstract way of querying the database. Developers can use JavaScript syntax to define queries and perform CRUD operations on the database using Sequelize's API.
Community and Ecosystem: Microsoft SQL Server has a large and established community with extensive documentation, tutorials, and resources available. It is widely used in enterprise-level applications and has good support from Microsoft. Sequelize, being an ORM library for Node.js, has a smaller but active community. It is well-documented and has a growing ecosystem of plugins and extensions developed by the community.

In summary, Microsoft SQL Server is a traditional RDBMS that uses SQL for database operations, while Sequelize is an ORM library that provides an abstraction layer over SQL using JavaScript syntax. The key differences between the two include the database type, language support, schema definition, migration and versioning features, querying and CRUD operations, and community and ecosystem.

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Advice on Microsoft SQL Server, Sequelize

Erin

IT Specialist

Mar 10, 2020

Needs adviceon

Microsoft SQL Server

MySQL

PostgreSQL

I am a Microsoft SQL Server programmer who is a bit out of practice. I have been asked to assist on a new project. The overall purpose is to organize a large number of recordings so that they can be searched. I have an enormous music library but my songs are several hours long. I need to include things like time, date and location of the recording. I don't have a problem with the general database design. I have two primary questions:

I need to use either @{MySQL}|tool:1025| or @{PostgreSQL}|tool:1028| on a @{Linux}|tool:10483| based OS. Which would be better for this application?
I have not dealt with a sound based data type before. How do I store that and put it in a table? Thank you.

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Detailed Comparison

Microsoft SQL Server	Sequelize
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.	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.
Statistics
GitHub Stars -	GitHub Stars 30.2K
GitHub Forks -	GitHub Forks 4.3K
Stacks 21.3K	Stacks 1.0K
Followers 15.5K	Followers 1.4K
Votes 540	Votes 143
Pros & Cons
Pros 139 Reliable and easy to use 101 High performance 95 Great with .net 65 Works well with .net 56 Easy to maintain Cons 4 Expensive Licensing 2 Microsoft 1 Data pages is only 8k 1 The maximum number of connections is only 14000 connect 1 Allwayon can loose data in asycronious mode	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 Node.js PostgreSQL MySQL MariaDB io.js

What are some alternatives to Microsoft SQL Server, Sequelize?

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

Related Comparisons

Microsoft SQL Server vs Sequelize: What are the differences?

Database Type: Microsoft SQL Server is a traditional RDBMS that uses the SQL language for creating, querying, and managing databases. On the other hand, Sequelize is an ORM library that can be used with different databases, including Microsoft SQL Server, MySQL, PostgreSQL, and SQLite. This flexibility allows developers to switch between different databases without having to change their code significantly.
Language Support: Microsoft SQL Server supports the SQL language for database operations. It provides a wide range of SQL functions and features to perform complex queries and data manipulations. Sequelize, on the other hand, uses JavaScript syntax for defining models and querying databases. It provides an abstraction layer over SQL, allowing developers to use JavaScript syntax instead of writing raw SQL queries.
Schema Definition: In Microsoft SQL Server, the database schema is defined using SQL statements. Tables, columns, constraints, and relationships are explicitly created and managed using SQL. Sequelize, on the other hand, allows developers to define the database schema using JavaScript code. Models are created to represent database tables, and relationships between models are defined using associations.
Migration and Versioning: Microsoft SQL Server includes tools and features for database migration and versioning. Developers can create scripts to modify the database schema and apply these scripts in a controlled manner. Sequelize provides built-in migration and versioning features as well. Developers can create migration files that describe the changes to be made in the database schema, and Sequelize can apply these migrations to the database.
Querying and CRUD Operations: Microsoft SQL Server allows developers to write raw SQL queries for interacting with the database. CRUD operations (Create, Read, Update, Delete) can be performed using SQL statements. Sequelize provides a more abstract way of querying the database. Developers can use JavaScript syntax to define queries and perform CRUD operations on the database using Sequelize's API.
Community and Ecosystem: Microsoft SQL Server has a large and established community with extensive documentation, tutorials, and resources available. It is widely used in enterprise-level applications and has good support from Microsoft. Sequelize, being an ORM library for Node.js, has a smaller but active community. It is well-documented and has a growing ecosystem of plugins and extensions developed by the community.

Microsoft SQL Server vs Sequelize

Overview