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  1. Stackups
  2. Application & Data
  3. Relational Databases
  4. SQL Database As A Service
  5. Amazon RDS vs Sequelize

Amazon RDS vs Sequelize

OverviewComparisonAlternatives

Overview

Amazon RDS
Amazon RDS
Stacks16.2K
Followers10.8K
Votes761
Sequelize
Sequelize
Stacks1.0K
Followers1.4K
Votes143
GitHub Stars30.2K
Forks4.3K

Amazon RDS vs Sequelize: What are the differences?

Introduction: In this comparison, we will highlight the key differences between Amazon RDS and Sequelize, two popular options in the realm of databases.

  1. Deployment and Management: Amazon RDS automates time-consuming tasks like hardware provisioning, database setup, patching, and backups, making it easier to manage. Sequelize, on the other hand, is an ORM (Object-Relational Mapping) tool that simplifies database interactions in Node.js applications but requires manual management of database deployment and configuration.

  2. Scalability: Amazon RDS offers vertical scalability by allowing you to easily resize your compute resources, storage capacity, and I/O performance. Sequelize, being an ORM tool, does not provide built-in features for automatic scalability, requiring developers to handle scalability considerations within their application code or database design.

  3. Flexibility in Database Technologies: Amazon RDS supports various database engines including MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server, providing flexibility in choosing the best-suited technology for your application. Sequelize, on the other hand, works as a connector to interact with databases and primarily focuses on relational databases, limiting the flexibility in terms of supported database technologies.

  4. Query Language and Syntax: Amazon RDS requires SQL queries for interacting with the database, adhering to the specific syntax of the chosen database engine. Sequelize, as an ORM tool, abstracts the underlying SQL queries and allows developers to interact with the database using JavaScript-based query building methods, which might feel more intuitive for some developers.

  5. Cost Considerations: Amazon RDS follows a pay-as-you-go pricing model, where you are billed based on the resources used and the chosen database engine. Sequelize, being an open-source ORM tool, does not have any direct cost associated with its usage, but developers need to consider the overall costs of managing the database infrastructure where Sequelize is used.

Summary: In summary, Amazon RDS provides automated database management and scalable infrastructure across various database technologies, while Sequelize simplifies database interactions through ORM functionalities with manual management requirements and a focus on relational databases in Node.js applications.

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Detailed Comparison

Amazon RDS
Amazon RDS
Sequelize
Sequelize

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

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.

Pre-configured Parameters;Monitoring and Metrics;Automatic Software Patching;Automated Backups;DB Snapshots;DB Event Notifications;Multi-Availability Zone (Multi-AZ) Deployments;Provisioned IOPS;Push-Button Scaling;Automatic Host Replacement;Replication;Isolation and Security
-
Statistics
GitHub Stars
-
GitHub Stars
30.2K
GitHub Forks
-
GitHub Forks
4.3K
Stacks
16.2K
Stacks
1.0K
Followers
10.8K
Followers
1.4K
Votes
761
Votes
143
Pros & Cons
Pros
  • 165
    Reliable failovers
  • 156
    Automated backups
  • 130
    Backed by amazon
  • 92
    Db snapshots
  • 87
    Multi-availability
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
SQLite
Microsoft SQL Server
Microsoft SQL Server
Node.js
Node.js
PostgreSQL
PostgreSQL
MySQL
MySQL
MariaDB
MariaDB
io.js
io.js

What are some alternatives to Amazon RDS, Sequelize?

Prisma

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.

Amazon Aurora

Amazon Aurora

Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.

Google Cloud SQL

Google Cloud SQL

Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

Hibernate

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

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.

ClearDB

ClearDB

ClearDB uses a combination of advanced replication techniques, advanced cluster technology, and layered web services to provide you with a MySQL database that is "smarter" than usual.

MikroORM

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.

Entity Framework

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.

peewee

peewee

A small, expressive orm, written in python (2.6+, 3.2+), with built-in support for sqlite, mysql and postgresql and special extensions like hstore.

MyBatis

MyBatis

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

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