Sequelize might be a bit more popular than neo4j. We know about 49 links to it since March 2021 and only 34 links to neo4j. 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 / 2 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 / 5 months ago
For example, in 2019, it was found that the popular Javascript ORM Sequelize was vulnerable to SQL injection attacks. - Source: dev.to / 9 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 / 10 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 / 10 months ago
The key difference lies in the retrieval mechanism. Vector databases focus on semantic similarity by comparing numerical embeddings, while graph databases emphasize relations between entities. Two solutions for graph databases are Neptune from Amazon and Neo4j. In a case where you need a solution that can accommodate both vector and graph, Weaviate fits the bill. - Source: dev.to / 23 days ago
Neo4j is a leading graph database that is easy to use and powerful for knowledge graphs. - Source: dev.to / 25 days ago
Neo4j is one of the most popular graph databases. It offers powerful querying capabilities through its Cypher query language. - Source: dev.to / 3 months ago
Great heads up. I wonder about graph databases. He mentioned and both include the graph use case and I wonder how they compare to . - Source: Hacker News / 5 months ago
The first blog in this series is to install neo4j - desktop version and few plugins which would help us to build an application. I am using Ubuntu 22.04.4 LTS. - Source: dev.to / 9 months ago
Hibernate - Hibernate an open source Java persistence framework project.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Entity Framework - See Comparison of Entity Framework vs NHibernate.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
SQLAlchemy - SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.