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Jugglingdb

5
8
+ 1
0
peewee

50
105
+ 1
19
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Jugglingdb vs peewee: What are the differences?

Developers describe Jugglingdb as "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. On the other hand, peewee is detailed as "A small, expressive ORM -- supports postgresql, mysql and sqlite". 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.

Jugglingdb and peewee belong to "Object Relational Mapper (ORM)" category of the tech stack.

Jugglingdb and peewee are both open source tools. It seems that peewee with 6.64K GitHub stars and 1.1K forks on GitHub has more adoption than Jugglingdb with 1.99K GitHub stars and 268 GitHub forks.

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Pros of Jugglingdb
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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 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.

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    What companies use Jugglingdb?
    What companies use peewee?
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      What tools integrate with Jugglingdb?
      What tools integrate with peewee?
        No integrations found
        What are some alternatives to Jugglingdb and peewee?
        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