python sql Pros and Cons

User interface is friendly and easy to use with different packages available Review collected by and hosted on G2.com.

Need to reload files and run previous steps everytime the system is restarted. It becomes time- consuming. Review collected by and hosted on G2.com.

As SQL is simpler and easy to use and provides a narrow range of functions than Python and on the other end Python has a vast range of functions.

Together it will be like an amazing combo.

Python provides access to many Databases.

Among all of them, SQL is one of the databases which we can access using Python Language.

We can develop a straightforward application to interact with SQLite, MySQL, and PostgreSQL databases. Review collected by and hosted on G2.com.

Scope wise if we see, that SQL has a lesser or limited number of functions for processing, querying or experimenting with the data.

Also using Python, sometimes slow down the processing time i.e take more time compared to any other language, that is a very less amount of time but yeah it takes more time. Review collected by and hosted on G2.com.

The easy way to set the parameters and how easily get the configuration Review collected by and hosted on G2.com.

This has not dislike option by most because it gives the easy development and great data managment Review collected by and hosted on G2.com.

It is an easy method to integrate the SQL with the website and it automatically creates the bridge between the website and the database server and closes when the works have been done so its an easy python library for the SQL integration Review collected by and hosted on G2.com.

As far I don't found any dislike about this library it is working fine for me. Review collected by and hosted on G2.com.

As a developer no need to do custom programming for making the bridge between the database and the website. Review collected by and hosted on G2.com.

No reason for dislike not found any defect. Review collected by and hosted on G2.com.

As a developer I love this tool to do daya analysis Review collected by and hosted on G2.com.

There is nothing that i disliked about this tool Review collected by and hosted on G2.com.

We can easily import this module and run the python SQL package and then run the SQL queries. It is very light and easy to use after importing the module.

Python SQL is the best because by using this module we can run our quires on the POSTGRESQL database directly from my local machine. Review collected by and hosted on G2.com.

It is an open-source module of the python but still, there are some trouble in finding some support for it besides documentations.

Sometimes troubleshooting errors can be a little imprecise. Review collected by and hosted on G2.com.

Can use easy sql like queries within python environment. Very easy to use. Review collected by and hosted on G2.com.

I literally dont have any dislikes. This product is perfect. Review collected by and hosted on G2.com.

Has methods that simplify how to write SQL statement. You get take advantage of python's brevity to make shorter commands that perform database operations. It has a well written documentation for reference. Review collected by and hosted on G2.com.

It is a little tricky to understand if you're already familiar with SQL syntax. The database manipulation code using python sql is not easy to read especially if it is written by someone else Review collected by and hosted on G2.com.

I like python SQL because it's a very good way to run native SQL queries within a python interface. It is relatively easy to import and using it is a breeze and I can share steps for other teammates to use this package with me. Review collected by and hosted on G2.com.

There isn't much support for python SQL and that is perhaps the only downside and I wish there was more adequate documentation. Review collected by and hosted on G2.com.