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CoreData vs Jugglingdb: What are the differences?

Developers describe CoreData as "A framework that is used to manage the model layer objects in your application". It is an object graph and persistence framework provided by Apple in the macOS and iOS operating systems. It allows data organized by the relational entity–attribute model to be serialized into XML, binary, or SQLite stores. It provides generalized and automated solutions to common tasks associated with object life cycle and object graph management, including persistence. On the other hand, Jugglingdb is detailed 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.

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

Jugglingdb is an open source tool with 1.99K GitHub stars and 267 GitHub forks. Here's a link to Jugglingdb's open source repository on GitHub.

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What is CoreData?

It is an object graph and persistence framework provided by Apple in the macOS and iOS operating systems. It allows data organized by the relational entity–attribute model to be serialized into XML, binary, or SQLite stores. It provides generalized and automated solutions to common tasks associated with object life cycle and object graph management, including persistence.

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.

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What companies use CoreData?
What companies use Jugglingdb?
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    What tools integrate with CoreData?
    What tools integrate with Jugglingdb?
      No integrations found
      What are some alternatives to CoreData and Jugglingdb?
      Realm
      The Realm Mobile Platform is a next-generation data layer for applications. Realm is reactive, concurrent, and lightweight, allowing you to work with live, native objects.
      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