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Jugglingdb

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Objection.js

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Jugglingdb vs Objection.js: What are the differences?

Jugglingdb: Multi-database ORM: redis, mongodb, mysql, sqlite, postgres, neo4j, memory. JugglingDB(3) is cross-db ORM for nodejs, providing common interface to access most popular database formats. Currently supported are: mysql, sqlite3, postgres, couchdb, mongodb, redis, neo4j and js-memory-storage (yep, self-written engine for test-usage only). Jugglingdb also works on client-side (using WebService and Memory adapters), which allows to write rich client-side apps talking to server using JSON API; Objection.js: It is an ORM for Node.js. It aims to stay out of your way and make it as easy as possible to use the full power of SQL and the underlying database engine while still making the common stuff easy and enjoyable.

Jugglingdb and Objection.js can be categorized as "Object Relational Mapper (ORM)" tools.

Jugglingdb and Objection.js are both open source tools. It seems that Objection.js with 4.26K GitHub stars and 344 forks on GitHub has more adoption than Jugglingdb with 1.99K GitHub stars and 267 GitHub forks.

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What is Jugglingdb?

JugglingDB(3) is cross-db ORM for nodejs, providing common interface to access most popular database formats. Currently supported are: mysql, sqlite3, postgres, couchdb, mongodb, redis, neo4j and js-memory-storage (yep, self-written engine for test-usage only). Jugglingdb also works on client-side (using WebService and Memory adapters), which allows to write rich client-side apps talking to server using JSON API.

What is Objection.js?

It aims to stay out of your way and make it as easy as possible to use the full power of SQL and the underlying database engine while still making the common stuff easy and enjoyable.

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    What tools integrate with Jugglingdb?
    What tools integrate with Objection.js?
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      What are some alternatives to Jugglingdb and Objection.js?
      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.
      Mongoose
      Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Mongoose provides a straight-forward, schema-based solution to modeling your application data and includes built-in type casting, validation, query building, business logic hooks and more, out of the box.
      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.
      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.
      See all alternatives