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Jugglingdb vs Sequelize

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Jugglingdb
5
8
+ 1
0
Sequelize
884
1.4K
+ 1
143
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Jugglingdb vs Sequelize: What are the differences?

What is 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.

What is Sequelize? Easy-to-use multi sql dialect ORM for Node.js & io.js. 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.

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

Jugglingdb and Sequelize are both open source tools. It seems that Sequelize with 19.2K GitHub stars and 3.01K forks on GitHub has more adoption than Jugglingdb with 1.99K GitHub stars and 268 GitHub forks.

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Pros of Jugglingdb
Pros of Sequelize
    Be the first to leave a pro
    • 42
      Good ORM for node.js
    • 31
      Easy setup
    • 21
      Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite
    • 14
      Open source
    • 13
      Free
    • 12
      Promise Based
    • 4
      Recommend for mongoose users
    • 3
      Typescript
    • 3
      Atrocious documentation, buggy, issues closed by bots

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    Cons of Jugglingdb
    Cons of Sequelize
      Be the first to leave a con
      • 30
        Docs are awful
      • 10
        Relations can be confusing

      Sign up to add or upvote consMake informed product decisions

      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 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.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Jugglingdb?
      What companies use Sequelize?
        No companies found
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        What tools integrate with Jugglingdb?
        What tools integrate with Sequelize?
          No integrations found

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          What are some alternatives to Jugglingdb and Sequelize?
          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.
          Redis
          Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
          See all alternatives

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