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CoreData

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GitHub Actions

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Pros of CoreData
Pros of GitHub Actions
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    • 8
      Integration with GitHub
    • 5
      Free
    • 3
      Easy to duplicate a workflow
    • 3
      Ready actions in Marketplace
    • 2
      Configs stored in .github
    • 2
      Docker Support
    • 2
      Read actions in Marketplace
    • 1
      Active Development Roadmap
    • 1
      Fast

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    Cons of CoreData
    Cons of GitHub Actions
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      • 5
        Lacking [skip ci]
      • 4
        Lacking allow failure
      • 3
        Lacking job specific badges
      • 2
        No ssh login to servers
      • 1
        No Deployment Projects
      • 1
        No manual launch

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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 GitHub Actions?

      It makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want.

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      What companies use CoreData?
      What companies use GitHub Actions?
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      What tools integrate with CoreData?
      What tools integrate with GitHub Actions?

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      What are some alternatives to CoreData and GitHub Actions?
      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