Neo4j vs Sequelize

Overview

Neo4j

Stacks1.2K

Followers1.4K

Votes351

GitHub Stars15.3K

Forks2.5K

Sequelize

Stacks1.0K

Followers1.4K

Votes143

GitHub Stars30.2K

Forks4.3K

Neo4j vs Sequelize: What are the differences?

Introduction: When comparing Neo4j and Sequelize, it is essential to identify their key differences to choose the most suitable database management system for specific project requirements.

Data Modeling Approach: In Neo4j, a graph database, data is modeled as nodes, relationships, and properties, allowing for complex and interconnected data structures. On the other hand, Sequelize, an ORM for relational databases, follows the traditional table-based data modeling approach, which may limit the representation of complex relationships between entities.
Query Language: Neo4j uses the Cypher query language, specifically designed for graph databases, making it efficient in traversing and querying graph data structures. In contrast, Sequelize uses SQL (Structured Query Language) for querying data in relational databases, which can be less intuitive for graph-related operations like pattern matching.
Scalability: Neo4j excels in handling highly interconnected and complex data, making it a preferred choice for applications requiring extensive graph-based operations. Sequelize, being an ORM for relational databases, may face challenges in scaling and querying interconnected data structures as efficiently as Neo4j.
Flexibility: Neo4j provides a high degree of flexibility in representing and querying graph data, making it suitable for applications with evolving data requirements. Sequelize, being tailored for relational databases, may offer less flexibility in adapting to changing data models and relationships.
Native Support for Graphs: Neo4j is a native graph database, optimized for storing and querying graph data structures, providing superior performance compared to relational databases like Sequelize, which may require additional configurations or extensions to handle graph-related tasks efficiently.

In Summary, understanding the key differences between Neo4j and Sequelize is crucial for selecting the most appropriate database management system based on the project's data modeling, query requirements, scalability, flexibility, and native support for graphs.

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CLI (Node.js)

Manual

Detailed Comparison

Neo4j	Sequelize
Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.	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.
intuitive, using a graph model for data representation;reliable, with full ACID transactions;durable and fast, using a custom disk-based, native storage engine;massively scalable, up to several billion nodes/relationships/properties;highly-available, when distributed across multiple machines;expressive, with a powerful, human readable graph query language;fast, with a powerful traversal framework for high-speed graph queries;embeddable, with a few small jars;simple, accessible by a convenient REST interface or an object-oriented Java API	-
Statistics
GitHub Stars 15.3K	GitHub Stars 30.2K
GitHub Forks 2.5K	GitHub Forks 4.3K
Stacks 1.2K	Stacks 1.0K
Followers 1.4K	Followers 1.4K
Votes 351	Votes 143
Pros & Cons
Pros 69 Cypher – graph query language 61 Great graphdb 33 Open source 31 Rest api 27 High-Performance Native API Cons 9 Comparably slow 4 Can't store a vertex as JSON 1 Doesn't have a managed cloud service at low cost	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 Neo4j, Sequelize?

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.

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 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

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

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

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

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

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.

Dgraph

Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.

SQLAlchemy

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.

Related Comparisons

Neo4j vs Sequelize: What are the differences?

Introduction: When comparing Neo4j and Sequelize, it is essential to identify their key differences to choose the most suitable database management system for specific project requirements.

Data Modeling Approach: In Neo4j, a graph database, data is modeled as nodes, relationships, and properties, allowing for complex and interconnected data structures. On the other hand, Sequelize, an ORM for relational databases, follows the traditional table-based data modeling approach, which may limit the representation of complex relationships between entities.
Query Language: Neo4j uses the Cypher query language, specifically designed for graph databases, making it efficient in traversing and querying graph data structures. In contrast, Sequelize uses SQL (Structured Query Language) for querying data in relational databases, which can be less intuitive for graph-related operations like pattern matching.
Scalability: Neo4j excels in handling highly interconnected and complex data, making it a preferred choice for applications requiring extensive graph-based operations. Sequelize, being an ORM for relational databases, may face challenges in scaling and querying interconnected data structures as efficiently as Neo4j.
Flexibility: Neo4j provides a high degree of flexibility in representing and querying graph data, making it suitable for applications with evolving data requirements. Sequelize, being tailored for relational databases, may offer less flexibility in adapting to changing data models and relationships.
Native Support for Graphs: Neo4j is a native graph database, optimized for storing and querying graph data structures, providing superior performance compared to relational databases like Sequelize, which may require additional configurations or extensions to handle graph-related tasks efficiently.

Neo4j vs Sequelize

Overview