Code Spotter vs SonarQube: What are the differences?
Developers describe Code Spotter as "Cloud-based Static Code Analysis for Java". Boolean satisfiability. Interprocedural data flow. Statistical analysis. We’ve got them all. Plus false path pruning, which understands the data dependencies in your code and eliminates infeasible paths from the analysis so you don’t waste time triaging non issues. On the other hand, SonarQube is detailed as "Continuous Code Quality". SonarQube provides an overview of the overall health of your source code and even more importantly, it highlights issues found on new code. With a Quality Gate set on your project, you will simply fix the Leak and start mechanically improving.
Code Spotter and SonarQube can be primarily classified as "Code Review" tools.
SonarQube is an open source tool with 3.78K GitHub stars and 1.06K GitHub forks. Here's a link to SonarQube's open source repository on GitHub.
What is Code Spotter?
What is SonarQube?
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Why do developers choose Code Spotter?
What are the cons of using Code Spotter?
What are the cons of using SonarQube?
What companies use Code Spotter?
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I'm planning to create a web application and also a mobile application to provide a very good shopping experience to the end customers. Shortly, my application will be aggregate the product details from difference sources and giving a clear picture to the user that when and where to buy that product with best in Quality and cost.
I have planned to develop this in many milestones for adding N number of features and I have picked my first part to complete the core part (aggregate the product details from different sources).
As per my work experience and knowledge, I have chosen the followings stacks to this mission.
Service: I have planned to use Java as the main business layer language as I have 7+ years of experience on this I believe I can do better work using Java than other languages. In addition, I'm thinking to use the stacks Node.js.
Database and ORM: I'm gonna pick MySQL as DB and Hibernate as ORM since I have a piece of good knowledge and also work experience on this combination.
Search Engine: I need to deal with a large amount of product data and it's in-detailed info to provide enough details to end user at the same time I need to focus on the performance area too. so I have decided to use Solr as a search engine for product search and suggestions. In addition, I'm thinking to replace Solr by Elasticsearch once explored/reviewed enough about Elasticsearch.
Host: As of now, my plan to complete the application with decent features first and deploy it in a free hosting environment like Docker and Heroku and then once it is stable then I have planned to use the AWS products Amazon S3, EC2, Amazon RDS and Amazon Route 53. I'm not sure about Microsoft Azure that what is the specialty in it than Heroku and Amazon EC2 Container Service. Anyhow, I will do explore these once again and pick the best suite one for my requirement once I reached this level.
Build and Repositories: I have decided to choose Apache Maven and Git as these are my favorites and also so popular on respectively build and repositories.
Additional Utilities :) - I would like to choose Codacy for code review as their Startup plan will be very helpful to this application. I'm already experienced with Google CheckStyle and SonarQube even I'm looking something on Codacy.
Happy Coding! Suggestions are welcome! :)
It is very important to have clean code. To be sure that the code quality is not really bad I use a few tools. I love SonarQube with many relevant hints and deep analysis of code. codebeat isn't so detailed, but it can find complexity issues and duplications. Codacy cannot find more bugs then your IDE. The winner for me is SonarQube that shows me really relevant bugs in my code.
To increase our code quality and make vulnerabilities visible, we added SonarQube to our Git(lab) workflow, so every commit is analyzed and code flaws are shown directly at the Mergerequest.