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Learn MorePros of dbForge Studio for SQL Server
Pros of GitHub Actions
Pros of dbForge Studio for SQL Server
- Database Administration31
- Data Export and Data Import31
- Source Control31
- SQL Coding Assistance31
- Index Manager31
- Database Designer31
Pros of GitHub Actions
- Integration with GitHub8
- Free5
- Easy to duplicate a workflow3
- Ready actions in Marketplace3
- Configs stored in .github2
- Docker Support2
- Read actions in Marketplace2
- Active Development Roadmap1
- Fast1
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Cons of dbForge Studio for SQL Server
Cons of GitHub Actions
Cons of dbForge Studio for SQL Server
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Cons of GitHub Actions
- Lacking [skip ci]5
- Lacking allow failure4
- Lacking job specific badges3
- No ssh login to servers2
- No Deployment Projects1
- No manual launch1
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What is dbForge Studio for SQL Server?
It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.
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 dbForge Studio for SQL Server?
What companies use GitHub Actions?
What companies use dbForge Studio for SQL Server?
Manage your open source components, licenses, and vulnerabilities
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What tools integrate with dbForge Studio for SQL Server?
What tools integrate with GitHub Actions?
What tools integrate with dbForge Studio for SQL Server?
What tools integrate with GitHub Actions?
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What are some alternatives to dbForge Studio for SQL Server 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