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Amazon RDS for PostgreSQL vs Sequelize: What are the differences?
Amazon RDS for PostgreSQL: * Set up, operate, and scale PostgreSQL deployments in the cloud. Amazon RDS manages complex and time-consuming administrative tasks such as PostgreSQL software installation and upgrades, storage management, replication for high availability and back-ups for disaster recovery. With just a few clicks in the AWS Management Console, you can deploy a PostgreSQL database with automatically configured database parameters for optimal performance. Amazon RDS for PostgreSQL database instances can be provisioned with either standard storage or Provisioned IOPS storage. Once provisioned, you can scale from 10GB to 3TB of storage and from 1,000 IOPS to 30,000 IOPS; *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.
Amazon RDS for PostgreSQL belongs to "PostgreSQL as a Service" category of the tech stack, while Sequelize can be primarily classified under "Object Relational Mapper (ORM)".
"Easy setup, backup, monitoring" is the primary reason why developers consider Amazon RDS for PostgreSQL over the competitors, whereas "Good ORM for node.js" was stated as the key factor in picking Sequelize.
Sequelize is an open source tool with 18.9K GitHub stars and 2.99K GitHub forks. Here's a link to Sequelize's open source repository on GitHub.
Netflix, Product Hunt, and Instacart are some of the popular companies that use Amazon RDS for PostgreSQL, whereas Sequelize is used by WebbyLab, Hostr, and Decision6. Amazon RDS for PostgreSQL has a broader approval, being mentioned in 164 company stacks & 27 developers stacks; compared to Sequelize, which is listed in 38 company stacks and 33 developer stacks.
Considering moving part of our PostgreSQL database infrastructure to the cloud, however, not quite sure between AWS, Heroku, Azure and Google cloud. Things to consider: The main reason is for backing up and centralize all our data in the cloud. With that in mind the main elements are: -Pricing for storage. -Small team. -No need for high throughput. -Support for docker swarm and Kubernetes.
Good balance between easy to manage, pricing, docs and features.
DigitalOcean's offering is pretty solid. Easy to scale, great UI, automatic daily backups, decent pricing.
Pros of Amazon RDS for PostgreSQL
- Easy setup, backup, monitoring25
- Geospatial support13
- Master-master replication using Multi-AZ instance2
Pros of Sequelize
- Good ORM for node.js42
- Easy setup31
- Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite21
- Open source14
- Free13
- Promise Based12
- Recommend for mongoose users4
- Typescript3
- Atrocious documentation, buggy, issues closed by bots3
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Cons of Amazon RDS for PostgreSQL
Cons of Sequelize
- Docs are awful30
- Relations can be confusing10
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What is Amazon RDS for PostgreSQL?
What is Sequelize?
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What tools integrate with Amazon RDS for PostgreSQL?
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