Azure SQL Managed Instance vs GitHub Actions

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Azure SQL Managed Instance

13
28
+ 1
0
GitHub Actions

23.9K
2.9K
+ 1
27
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Pros of Azure SQL Managed Instance
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 Azure SQL Managed Instance
    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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      193
      112
      9.9K

      What is Azure SQL Managed Instance?

      It is the intelligent, scalable cloud database service that combines the broadest SQL Server database engine compatibility with all the benefits of a fully managed and evergreen platform as a service.

      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.

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

      What companies use Azure SQL Managed Instance?
      What companies use GitHub Actions?
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      What tools integrate with Azure SQL Managed Instance?
      What tools integrate with GitHub Actions?

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      What are some alternatives to Azure SQL Managed Instance and GitHub Actions?
      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.
      Amazon S3
      Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
      See all alternatives