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  1. Stackups
  2. Application & Data
  3. Relational Databases
  4. Postgresql As A Service
  5. ElephantSQL vs Sequelize

ElephantSQL vs Sequelize

OverviewComparisonAlternatives

Overview

ElephantSQL
ElephantSQL
Stacks15
Followers86
Votes15
Sequelize
Sequelize
Stacks1.0K
Followers1.4K
Votes143
GitHub Stars30.2K
Forks4.3K

ElephantSQL vs Sequelize: What are the differences?

Introduction:

In this article, we will explore the key differences between ElephantSQL and Sequelize, two commonly used tools in web development for managing databases. Markdown code will be used to format the content for easy use in a website.

  1. Database Management: ElephantSQL is a managed PostgreSQL database service that provides a cloud-based solution for handling databases. It offers automatic backups, scaling, monitoring, and security features. Sequelize, on the other hand, is an Object-Relational Mapping (ORM) library that enables developers to interact with databases using JavaScript. It supports various database systems, including PostgreSQL, MySQL, SQLite, and MSSQL.

  2. Purpose: ElephantSQL primarily focuses on providing a convenient way to manage and host PostgreSQL databases in the cloud. It offers a user-friendly interface and handles many administrative tasks, such as backups and scaling, behind the scenes. Sequelize, however, is more of a programming tool that simplifies database operations by abstracting the low-level SQL queries and providing an object-oriented approach to handling data.

  3. Flexibility: ElephantSQL offers a managed solution with a fixed set of features and configurations. While it provides convenience and ease of use, it may have limitations on customization. On the other hand, Sequelize provides a flexible and powerful way to interact with databases, allowing developers to define complex relationships, associations, and custom queries according to their specific needs.

  4. Development Workflow: ElephantSQL is primarily used during the deployment phase, where developers can easily provision and manage databases for their web applications. Sequelize, on the other hand, is typically used during the development phase to define and manipulate database models, create and migrate database schemas, and perform CRUD operations.

  5. Learning Curve: ElephantSQL requires minimal knowledge of PostgreSQL and provides a user-friendly interface, making it suitable for developers who are not well-versed in databases. Sequelize, however, has a steeper learning curve as it requires understanding of JavaScript, SQL, and object-oriented programming concepts. It may be more suitable for experienced developers or those who prefer working directly with databases using code.

  6. Compatibility: ElephantSQL is specifically designed for PostgreSQL databases and provides seamless integration with various frameworks and tools that support PostgreSQL. Sequelize, on the other hand, is a library that can work with multiple database systems, offering flexibility to switch between different databases without significant changes to the codebase.

In summary, ElephantSQL is a cloud-based managed PostgreSQL database service that simplifies database management, while Sequelize is an ORM library that provides flexibility and abstraction for interacting with databases using JavaScript.

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Detailed Comparison

ElephantSQL
ElephantSQL
Sequelize
Sequelize

ElephantSQL hosts PostgreSQL on Amazon EC2 in multiple regions and availability zones. The servers are continuously transferring the Write-Ahead-Log (the transaction log) to S3 for maximum reliability.

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.

Continuous backup to S3;Automatic failover;24/7 monitoring;Extenstions- HStore, Full Text search, Crypto and many more.;Latest version- ElephantSQL always boosts the latest stable version of PostgreSQL.
-
Statistics
GitHub Stars
-
GitHub Stars
30.2K
GitHub Forks
-
GitHub Forks
4.3K
Stacks
15
Stacks
1.0K
Followers
86
Followers
1.4K
Votes
15
Votes
143
Pros & Cons
Pros
  • 11
    They suck
  • 1
    Easy setup
  • 1
    Geospatial support
  • 1
    Monitoring
  • 1
    Easy backup
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
SoftLayer
SoftLayer
Google Compute Engine
Google Compute Engine
Amazon EC2
Amazon EC2
Heroku
Heroku
AppHarbor
AppHarbor
cloudControl
cloudControl
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 ElephantSQL, 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 RDS for PostgreSQL

Amazon RDS for PostgreSQL

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.

Heroku Postgres

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.

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.

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.

Entity Framework Core

Entity Framework Core

It is a lightweight, extensible, open source and cross-platform version of the popular Entity Framework data access technology. It can serve as an object-relational mapper (O/RM), enabling .NET developers to work with a database using .NET objects, and eliminating the need for most of the data-access code they usually need to write.

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