Based on our record, Sequelize should be more popular than ArangoDB. It has been mentiond 49 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Object-Relational Mapping frameworks like Hibernate (Java), SQLAlchemy (Python), and Sequelize (Node.js) typically use parameterized queries by default and abstract direct SQL interaction. These frameworks help eliminate common developer errors that might otherwise introduce vulnerabilities. - Source: dev.to / 3 months ago
I was surprised to find that there was no standalone tool that generated an OpenAPI spec directly from a database schema - so I decided to create one. DB2OpenAPI is an Open Source CLI that converts your SQL database into an OpenAPI document, with CRUD routes, descriptions, and JSON schema responses that match your tables' columns. It's built using the Sequelize ORM, which supports:. - Source: dev.to / 6 months ago
For example, in 2019, it was found that the popular Javascript ORM Sequelize was vulnerable to SQL injection attacks. - Source: dev.to / 10 months ago
Integrating Node.js, Sequelize, and TypeScript allows you to build scalable and maintainable backend applications. By following these best practices, such as setting up your project correctly, defining models with type safety, creating typed Express routes, and implementing proper error handling, you can enhance your development workflow and produce higher-quality code. Remember to keep your dependencies... - Source: dev.to / 11 months ago
If your application doesn't necessitate raw SQL/NoSQL, opt for Object-Relational Mappers (ORMs) like Sequelize or Object-Document Mappers (ODMs) like Mongoose for database queries. They feature built-in protection against injection attacks, such as parameterized queries, automatic escaping, and schema validation, and adhere to some security best practices. - Source: dev.to / 11 months ago
If you like the document db idea there are a lot of choices, especially https://arangodb.com/ which I think gets little attention because people who use it see it as a secret weapon. Too bad about the license though. Also https://couchdb.apache.org/ and https://developer.marklogic.com/. - Source: Hacker News / 10 months ago
ArangoDB is a multi-model database that supports document, key-value, and graph data models with a unified query language. - Source: dev.to / 12 months ago
In modern databases, efficient data serialization and deserialization are paramount to achieving high performance. ArangoDB, a multi-model database, addresses this need with its innovative binary data format, VelocyPack. This article delves into the intricacies of VelocyPack, demonstrating its advantages, usage, and how it enhances the performance of ArangoDB with code examples in Java and Rust. - Source: dev.to / about 1 year ago
ArangoDB: A native multi-model database, it offers flexibility for documents, graphs, and key-values. This versatility makes it suitable for applications requiring a combination of these data models. - Source: dev.to / over 1 year ago
ArangoDB, a "multi-modal" database engine that stores arbitrary JSON documents like MongoDB, key/value data like Redis, and graph relationships like Neo4j — and lets you leverage all three kinds of data in a single query. Source: over 2 years ago
Hibernate - Hibernate an open source Java persistence framework project.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Entity Framework - See Comparison of Entity Framework vs NHibernate.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
SQLAlchemy - SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.