DbVisualizer vs. Spyder

Seamlessly querying PostgreSQL/PostGIS, Oracle, SQL Server, and SQLite from one interface without switching tools. The intelligent autocomplete and schema browsing make it ideal for writing queries and understanding unfamiliar databases. Complex performance tuning, deep monitoring, and automated backup/recovery require specialized DBA tools. Performance degrades with tens or hundreds of thousands of rows; command-line tools or ETL solutions are better suited to bulk data processing.

Incentivized

Spyder is an open-source Python IDE designed for the movement of data science work. Spyder comes with an Anaconda package manager distribution, so depending on your setup you may have installed it on your machine.

Spyder includes most of the "standard IDE" features you can expect, such as a strong syntax code editor, Python code rendering, and an integrated text browser.

Spyder is used when we want to develop a code that is useful and able to explore proper documentation of the code that has been written. We use Spyder to perform data-related operations like filtration, cleaning, and enhancing the data qualities. There some cases where it is less appropriate like working in an environment, creating dashboards of data visualizations and plots.

• Out-of-the-box support for many different databases.
• Intuitive UI for interacting with data.
• Flexibility of SQL Commander for writing scripts.
• Great support for working with JSON data in recent updates.
• Database connections over SSH.
• Table relationship visualization is very helpful.
• The tree view is well organized in how it splits out schemas.

• Provides wider screen to read and write code and flexibility to adjust size as per requirement.
• While running the code it provide the variable overview and memory overview
• Lightweight and easily available in Anaconda Navigator
• Multiple compilation options are available
• Works well for data analytics, Django, Flask and Fast API frameworks

Incentivized

• Small, but noticeable: it would be nice to be able to highlight just one column of a data output for copy/paste by clicking on the column header (a feature some of us are accustomed to from SQL Server Management Studio)
• Is there an ability to bulk import an excel file to a table in a connected SQL Server in DbVis? If so, I haven't figured that out yet. I still largely use Microsoft SSMS to import data to our team's personal SQL Server, but can easily query that server via DbVis)
• (I really don't have any major complaints - our company has tried to steer users toward DBeaver for YEARS, which I cannot stand. DbVis knocks the beaver out of the water)

• Colors in code format
• Add a broadcast to share the project with friends
• Contains more than one important language such as Python

We never had problems with it. It is able to connect to all data sources (Oracle, Informix, DB2, SQL Server) that we currently use.

Incentivized

It does what we need it for, which is manipulate data, check connections, visualize database structures, check on user rights, or even just version checks on the used databases. The 'type to get to table name' feature is often irrational in behaviour, which leads to frustration. The start-up time could be much better, and the UI changes between versions are sometimes a hassle for us when buttons are suddenly moved or their appearance changes. We use a wide variety of DBVis versions on customer installations (which use the once-bought version), and differences in the look and feel between versions sometimes slow us down.

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.

Incentivized

Never used

Incentivized

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.

Incentivized

[DbVisualizer] is pretty easy to use compared to IntelliJ because of it's simplicity. The performance is very good, it feels as good as a native application compared to the other two softwares I used for the same purpose. It's very cheaper compared to the other two tools and that's a big selling point.

Incentivized

I think Spyder doesn't stack up as well as other IDEs due to its many limitations. But it is available for free and that is one advantage it has over its competitors

Incentivized

• Positive: Real time saver when working across multiple databases. At least 30-40 mins a day are saved
• Positive: Helpful for the 'quick DBA' tasks without switching to the native tools: approx 1-2 hours saved weekly
• Positive: Easy switch between environments / schemas / etc without hassle: saved at least an hour daily

• It has helped me learn python quickly
• The ability to generate figures quickly and interact with them is helpful

Incentivized