GitHub Copilot is presented as an AI pair programmer, that plugs into the user's editor. It then turns natural language prompts into code, offers multi-line function suggestions, speeds up test generation, filters out common vulnerable coding patterns, and blocks suggestions matching public code.
$10
per month
Redgate SQL Toolbelt Essentials
Score 9.5 out of 10
N/A
Redgate's SQL Toolbelt Essentials includes industry-standard tools for SQL Server development & deployment, enabling users to include SQL Server databases in agile processes and enabilng developers to embed robust and scalable development practices.
Copilit is fantastic at the following: 1. Solving simple, well-defined problems, such as implementing an algorithm, manipulating a data structure, or string manipulation and regex. 2. Implementing simple APIs that are mainly CRUD in nature, with moderate business logic inside them, which may involve some processing or passing the data through an algorithm. 3. Implementation of well-defined activities, such as implementing a connection to an Oracle DB using Hibernate or JDBC, or implementing boilerplate code for a backend service to listen to Kafka events. It is not that great when it comes to understanding and implementing code in a proprietary DSL. It struggles when implementing a major feature across a complex codebase. I believe developers should also adopt the trust-but-verify paradigm when expecting highly secure or regulated code from GitHub Copilot.
We use SQL Compare to troubleshoot performance problems quite a bit since our data model is more like a template and not everything is 100% in sync and customization occurs between different client databases. We continually get pulled into performance issues and the developers will say Client A is performing different than Client B, why? Using SQL Compare, we usually find that one client was tuned and had indexes altered or added that weren't deployed to all clients or other objects weren't deployed correctly during the release. On the other hand, since our data model practices allow client databases to drift I tried to create a new golden image by trying to compare multiple databases based on the same data model and found it to be a very difficult process to complete using SQL Compare. SQL Compare gave me too much information and doesn't allow enough filtering to eliminate a lot of the noise.
Simple and easy comparison of database schemas and data. Differences can be copied or synced from one database to another with a click of a button.
You can save "projects" so that you can easily rerun a previous comparison whenever you need to.
It has a very simple, easy to learn interface. I've never needed to read any documentation or watch any tutorials in order to figure out how to do something.
Pricing.... I wish there was an inexpensive developer version I could buy for myself.
Portability.... I would like to use it from a flash drive so I can use it where ever I am asked to work.
Unbundled.... This may be available already but I dont' recall I can buy it cheaply as a stand-alone product. Its only part of the bundle - cost effectively.
I feel that GitHub Copilot's overall usability is good due to its tight integration with Visual Studio and the workspace. However, developers expect greater ease of use, as there is a learning curve to realize productivity gains with the tool fully. I think there is room for improvement in GitHub Copilot's UI integration within Visual Studio.
It is useful that copilot integrates so well with vscode, which is a very common IDE. I used Tabnine for a little while but it was not that intuitive, and did not seem as helpful as GitHub copilot was. I have enjoyed GitHub copilot a lot, especially the ease of hitting the tab key and seeing quick progress in my tasks.
I've used Visual Studio Database Projects for this type of work in the past with some success, but Redgate SQL Compare is faster, more transparent, and simply easier to use. Faster is self explanatory. More transparent, means that it's much easier to set up your desired options for schema change deployment scripts. Easier to use, It's really dead simple. Start a project, connect your source, connect destination, click compare.
