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

Amazon RDS

15.9K
10.8K
+ 1
761
Sequelize

885
1.4K
+ 1
143
Add tool

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.

Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of Amazon RDS
Pros of Sequelize
  • 165
    Reliable failovers
  • 156
    Automated backups
  • 130
    Backed by amazon
  • 92
    Db snapshots
  • 87
    Multi-availability
  • 30
    Control iops, fast restore to point of time
  • 28
    Security
  • 24
    Elastic
  • 20
    Push-button scaling
  • 20
    Automatic software patching
  • 4
    Replication
  • 3
    Reliable
  • 2
    Isolation
  • 42
    Good ORM for node.js
  • 31
    Easy setup
  • 21
    Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite
  • 14
    Open source
  • 13
    Free
  • 12
    Promise Based
  • 4
    Recommend for mongoose users
  • 3
    Typescript
  • 3
    Atrocious documentation, buggy, issues closed by bots

Sign up to add or upvote prosMake informed product decisions

Cons of Amazon RDS
Cons of Sequelize
    Be the first to leave a con
    • 30
      Docs are awful
    • 10
      Relations can be confusing

    Sign up to add or upvote consMake informed product decisions

    - No public GitHub repository available -

    What is Amazon RDS?

    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.

    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.

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

    What companies use Amazon RDS?
    What companies use Sequelize?
    Manage your open source components, licenses, and vulnerabilities
    Learn More

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

    What tools integrate with Amazon RDS?
    What tools integrate with Sequelize?

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

    Blog Posts

    GitHubDockerAmazon EC2+23
    12
    6632
    JavaScriptGitHubPython+42
    53
    22232
    DockerSlackAmazon EC2+17
    18
    6047
    What are some alternatives to Amazon RDS and Sequelize?
    Amazon Redshift
    It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
    Apache Aurora
    Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.
    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.
    Oracle
    Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
    Heroku Postgres
    Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.
    See all alternatives