Oracle vs Sequelize

Overview

Oracle

Stacks2.6K

Followers1.8K

Votes113

Sequelize

Stacks1.0K

Followers1.4K

Votes143

GitHub Stars30.2K

Forks4.3K

Oracle vs Sequelize: What are the differences?

Key Differences between Oracle and Sequelize

Oracle and Sequelize are both popular technologies used for database management. While Oracle is a relational database management system developed by Oracle Corporation, Sequelize is an Object-Relational Mapping (ORM) library for Node.js that supports multiple database systems, including PostgreSQL, MySQL, and SQLite.

Language Compatibility: Oracle is primarily used with SQL language, whereas Sequelize is designed to work with JavaScript and Node.js. This means that developers familiar with JavaScript can easily work with Sequelize without having to learn a new language like SQL.
Database Support: Oracle is specifically designed for Oracle databases and provides advanced features and optimizations for working with Oracle. On the other hand, Sequelize supports multiple databases, allowing developers to switch between different database systems without significant code changes.
Data Modeling: Oracle provides a graphical user interface called Oracle Designer, which helps in designing and modeling the database schema. Sequelize, being an ORM, follows an object-oriented approach where database tables are represented as classes and objects in the code. This makes it easier to map the database structure to the application's object model.
Query Language: Oracle uses SQL, which is a declarative query language. Developers write SQL queries to retrieve, manipulate, and manage data in the Oracle database. Sequelize, on the other hand, abstracts the SQL queries and provides an API for performing database operations using JavaScript code. Developers can write queries using function calls and method chaining, making it easier to work with.
Data Validation: Oracle provides data validation features such as constraints, triggers, and stored procedures to ensure data integrity at the database level. Sequelize, as an ORM, provides its own validation mechanisms that can be applied at the application level. Developers can define validation rules on the Sequelize models to ensure the data being stored in the database meets the required criteria.
Migration and Schema Changes: Oracle has built-in tools for managing database migrations and schema changes. Developers can use SQL scripts or tools like Oracle SQL Developer to apply changes to the database schema. Sequelize, being an ORM, provides its own migration tools that simplify the process of making schema changes. Developers can define migrations using JavaScript code and easily apply them to keep the database schema in sync with the application's models.

In Summary, Oracle is a relational database management system primarily designed for Oracle databases, while Sequelize is an ORM library that supports multiple databases and provides an object-oriented approach to database management in Node.js.

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Advice on Oracle, Sequelize

Daniel

Data Engineer at Dimensigon

Jul 18, 2020

Decided

We have chosen Tibero over Oracle because we want to offer a PL/SQL-as-a-Service that the users can deploy in any Cloud without concerns from our website at some standard cost. With Oracle Database, developers would have to worry about what they implement and the related costs of each feature but the licensing model from Tibero is just 1 price and we have all features included, so we don't have to worry and developers using our SQLaaS neither. PostgreSQL would be open source. We have chosen Tibero over Oracle because we want to offer a PL/SQL that you can deploy in any Cloud without concerns. PostgreSQL would be the open source option but we need to offer an SQLaaS with encryption and more enterprise features in the background and best value option we have found, it was Tibero Database for PL/SQL-based applications.

496k views496k

Comments

Abigail

Dec 6, 2019

Decided

In the field of bioinformatics, we regularly work with hierarchical and unstructured document data. Unstructured text data from PDFs, image data from radiographs, phylogenetic trees and cladograms, network graphs, streaming ECG data... none of it fits into a traditional SQL database particularly well. As such, we prefer to use document oriented databases.

MongoDB is probably the oldest component in our stack besides Javascript, having been in it for over 5 years. At the time, we were looking for a technology that could simply cache our data visualization state (stored in JSON) in a database as-is without any destructive normalization. MongoDB was the perfect tool; and has been exceeding expectations ever since.

Trivia fact: some of the earliest electronic medical records (EMRs) used a document oriented database called MUMPS as early as the 1960s, prior to the invention of SQL. MUMPS is still in use today in systems like Epic and VistA, and stores upwards of 40% of all medical records at hospitals. So, we saw MongoDB as something as a 21st century version of the MUMPS database.

540k views540k

Comments

Abigail

Dec 10, 2019

Decided

We wanted a JSON datastore that could save the state of our bioinformatics visualizations without destructive normalization. As a leading NoSQL data storage technology, MongoDB has been a perfect fit for our needs. Plus it's open source, and has an enterprise SLA scale-out path, with support of hosted solutions like Atlas. Mongo has been an absolute champ. So much so that SQL and Oracle have begun shipping JSON column types as a new feature for their databases. And when Fast Healthcare Interoperability Resources (FHIR) announced support for JSON, we basically had our FHIR datalake technology.

558k views558k

Comments

Detailed Comparison

Oracle	Sequelize
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.	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 2.6K	Stacks 1.0K
Followers 1.8K	Followers 1.4K
Votes 113	Votes 143
Pros & Cons
Pros 44 Reliable 33 Enterprise 15 High Availability 5 Expensive 5 Hard to maintain Cons 14 Expensive	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 Microsoft SQL Server Node.js PostgreSQL MySQL MariaDB io.js

What are some alternatives to Oracle, 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.

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

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.

Related Comparisons

Oracle vs Sequelize: What are the differences?

Key Differences between Oracle and Sequelize

Language Compatibility: Oracle is primarily used with SQL language, whereas Sequelize is designed to work with JavaScript and Node.js. This means that developers familiar with JavaScript can easily work with Sequelize without having to learn a new language like SQL.
Database Support: Oracle is specifically designed for Oracle databases and provides advanced features and optimizations for working with Oracle. On the other hand, Sequelize supports multiple databases, allowing developers to switch between different database systems without significant code changes.
Data Modeling: Oracle provides a graphical user interface called Oracle Designer, which helps in designing and modeling the database schema. Sequelize, being an ORM, follows an object-oriented approach where database tables are represented as classes and objects in the code. This makes it easier to map the database structure to the application's object model.
Query Language: Oracle uses SQL, which is a declarative query language. Developers write SQL queries to retrieve, manipulate, and manage data in the Oracle database. Sequelize, on the other hand, abstracts the SQL queries and provides an API for performing database operations using JavaScript code. Developers can write queries using function calls and method chaining, making it easier to work with.
Data Validation: Oracle provides data validation features such as constraints, triggers, and stored procedures to ensure data integrity at the database level. Sequelize, as an ORM, provides its own validation mechanisms that can be applied at the application level. Developers can define validation rules on the Sequelize models to ensure the data being stored in the database meets the required criteria.
Migration and Schema Changes: Oracle has built-in tools for managing database migrations and schema changes. Developers can use SQL scripts or tools like Oracle SQL Developer to apply changes to the database schema. Sequelize, being an ORM, provides its own migration tools that simplify the process of making schema changes. Developers can define migrations using JavaScript code and easily apply them to keep the database schema in sync with the application's models.

Oracle vs Sequelize

Overview

Oracle vs Sequelize: What are the differences?