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ArangoDB vs Sequelize: What are the differences?
## Introduction
In this comparison, we will highlight the key differences between ArangoDB and Sequelize, two popular databases used in web development.
## 1. Data Modeling:
**ArangoDB:** ArangoDB is a multi-model database that supports graphs, key/value, and document data models natively.
**Sequelize:** Sequelize is an ORM (Object-Relational Mapping) for Node.js that primarily deals with relational databases like MySQL, PostgreSQL, etc.
## 2. Query Language:
**ArangoDB:** ArangoDB uses AQL (ArangoDB Query Language) for queries, which is similar to SQL but tailored for multi-model capabilities.
**Sequelize:** Sequelize uses SQL for querying data from relational databases, allowing developers to write raw SQL queries as needed.
## 3. Versatility:
**ArangoDB:** ArangoDB is designed for handling complex relationships between data through its graph capabilities.
**Sequelize:** Sequelize is more suitable for traditional relational data structures with predefined schemas.
## 4. Nature of Relationships:
**ArangoDB:** ArangoDB allows for easily defining and querying relationships between data entities, especially in the context of graph databases.
**Sequelize:** Sequelize primarily focuses on relationships established through foreign keys and associations in relational databases.
## 5. Scalability:
**ArangoDB:** ArangoDB is a scalable database that can handle large amounts of data and traffic with ease, making it suitable for high-demand applications.
**Sequelize:** Sequelize relies on the underlying relational database's scalability features, which may vary based on the chosen database engine.
## 6. Integration with Node.js:
**ArangoDB:** ArangoDB provides an official Node.js driver for seamless integration with Node.js applications.
**Sequelize:** Sequelize is specifically designed for use with Node.js, providing a robust ORM solution for Node.js developers.
In Summary, ArangoDB is more suited for handling complex data relationships, especially in a graph database context, while Sequelize is a reliable choice for traditional relational databases and integrates seamlessly with Node.js applications.
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Learn MorePros of ArangoDB
Pros of Sequelize
Pros of ArangoDB
- Grahps and documents in one DB37
- Intuitive and rich query language26
- Good documentation25
- Open source25
- Joins for collections21
- Foxx is great platform15
- Great out of the box web interface with API playground14
- Good driver support6
- Low maintenance efforts6
- Clustering6
- Easy microservice creation with foxx5
- You can write true backendless apps4
- Managed solution available2
- Performance0
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 ArangoDB
Cons of Sequelize
Cons of ArangoDB
- Web ui has still room for improvement3
- No support for blueprints standard, using custom AQL2
Cons of Sequelize
- Docs are awful30
- Relations can be confusing10
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What is 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.
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.
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What companies use ArangoDB?
What companies use Sequelize?
What companies use ArangoDB?
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What tools integrate with ArangoDB?
What tools integrate with Sequelize?
What tools integrate with ArangoDB?
What tools integrate with Sequelize?
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What are some alternatives to ArangoDB and Sequelize?
Neo4j
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.
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.
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.
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.
OrientDB
It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.