Rapid SQL vs. Spyder

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Rapid SQL
Score 8.8 out of 10
N/A
Rapid SQL is an SQL integrated development environment (IDE) from Embarcadero Technologies (acquired by Idera) in San Francisco.N/A
Spyder
Score 8.2 out of 10
N/A
Spyder is a free and open source scientific environment for Python. It combines advanced editing, analysis, debugging, and profiling, with data exploration, interactive execution, deep inspection, and visualization capabilities. Spyder is sponsored by open source supporters QuanSight, and NumFOCUS, as well as individual donors.N/A
Pricing
Rapid SQLSpyder
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Rapid SQLSpyder
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Rapid SQLSpyder
Best Alternatives
Rapid SQLSpyder
Small Businesses
PyCharm
PyCharm
Score 9.2 out of 10
PyCharm
PyCharm
Score 9.2 out of 10
Medium-sized Companies
PyCharm
PyCharm
Score 9.2 out of 10
PyCharm
PyCharm
Score 9.2 out of 10
Enterprises
PyCharm
PyCharm
Score 9.2 out of 10
PyCharm
PyCharm
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Rapid SQLSpyder
Likelihood to Recommend
9.0
(0 ratings)
8.0
(0 ratings)
Usability
-
(0 ratings)
8.0
(0 ratings)
Support Rating
10.0
(0 ratings)
8.0
(0 ratings)
User Testimonials
Rapid SQLSpyder
Likelihood to Recommend
Rapid SQL can be used from our notebooks connecting to a SQL Server allowing us to test performance issues and provide insight on how to fix them.
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Spyder is well suited if you're limited on hardware. You have to work with single code file. You need to quickly write some code and test it. Apart from this if you want to have a look at your variables then you can make use of Spyder. If you're working with Anaconda navigator then this can be the best to start with as it can be installed with single click there.
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Pros
  • Robust
  • Simple to use
  • Affordable
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  • Debugging of your existing code
  • Generates figures very quickly as part of a figures tab which lets users understand results quickly
  • Different layouts are available for the software which will give the users freedom to decide what layout works best for them
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Cons
  • User base support is not as great as MySQL, SQL Server, and Oracle.
  • The included editor could be refined. I notice some of the reserved words were not highlighted.
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  • Colors in code format
  • Add a broadcast to share the project with friends
  • Contains more than one important language such as Python
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Usability
No answers on this topic
It is fairly straightforward to use. Pretty much good to go as soon as you install it. The IDE itself is very user friendly, and it is only limited by whatever limitations Python has as a language. Great for those who want to run their scripts quickly or do some Python programming without fussing.
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Support Rating
Support is outstanding and gets answers quickly when confronted at a client site with an issue.
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Most of data scientists or data engineers are either using ec2 on the cloud or Atom or PyCharm locally. It is a bit hard to find people who are still using Spyder and have the sight of the IDE and can help you to answer your question.
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Alternatives Considered
The IT department uses it so we adopted the software. I would have chosen SQL Server myself.
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I have chosen Spyder because it's free and open-source that comes with properly documented comments in the code. I have been using Spyder for more than 2 years and it always feels good to work with Spyder every time start my work. In Spyder, we have three windows one for man code window, idle window, and the other is for running your code and analyze. So to test a particular code I use the idle window to see what is going to be the result when I use this set of codes. That the main reason, I use Spyder.
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Return on Investment
  • A great debugger that saved me a lot of time
  • The editor was not very user-friendly as some of the reserved words need to be highlighted
  • It's not as costly compared to Oracle, so it's a great value product
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  • Less time spent on employee training.
  • Limited integration with Git.
  • No tools for repository.
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ScreenShots