Likelihood to Recommend Python Software Foundation
IDLE is a good option to run small scripts directly on the console, and that's it. It is a good exit when you don't want or need to open a proper IDE like Pycharm.
Read full review Truly trusted contact center where the effective solution is always guaranteed. It is not a one-off fix to a specific data integration or management problem. It is a permanent and scalable solution to manage all of your data under a unified environment. Easy to use, great performance, used it for our internal data warehouse. Easy to build and connect to our data sources such as Salesforce, Netsuite, and Marketo.
Read full review Pros Python Software Foundation
Firstly, I would say Python IDLE interface is user friendly. Easy to learn for the beginners. Syntax highlighting is nice features. Smart indent helps a lot. Read full review It supports a wide variety of connectors (Systems/endpoints) It provides great flexibility for developers as it not only has a lot of predefined ready to use the function but also provides the ability to use complex java code within the platform. Great tool if you have good developers available. Read full review Cons Python Software Foundation
Too simplistic Could not find source revision management integration support Only basic debugging is available Does not have data-science-specific notebooks (but can be installed separately) Read full review The print and export functionality are missing in the Community version which frustrates a lot of our clients as well as internal users. The learning curve is very steep for all Talend products including DQ. Lack of easy to create workflows for jobs that can be repeated. Read full review Likelihood to Renew Python Software Foundation
Lack of report export and publication! Steep learning curve!
Read full review Usability Python Software Foundation
The IDE Python IDLE is a good place to start as it helps you become familiar with the way Python works and understand its syntax.
This IDE allows you to configure the environment, font, size, colors, .....
It also looks like any simple text editor for any operating system, I work with Windows or Linux interchangeably, and you don't have to learn to use the IDE before programming.
Once the IDE is executed you can start programming directly in it.
Read full review At this moment the usability of Talend Data Quality is optimal, too bad I cannot say the same in the first three months, it was always a problem due to its steep learning curve, but what matters is being able to use it effectively at this precise moment.
Read full review Support Rating Python Software Foundation
Python IDLE support is what the community can give you. As it is free software, it does not have support provided by the manufacturer or by third-parties.
In any case, for most of the problems that normal users can find, the solution, or alternatives, can be found quickly online.
As this IDE is made in Python, the support is the same group of Python developers.
Read full review Talend Data Quality gave us direct help in the learning process and prevented us from taking many more months to adapt and I appreciate this from the heart, I think that thanks to the support we can have very detailed reports that help increase the use of Talend Data Quality in the company.
Read full review Alternatives Considered Python Software Foundation
It's easy to set up and run quick analysis in Python IDLE on my local machine. The output is direct and easy to read. But sometimes I prefer
Jupyter Notebook when the datasets are large, since it would take too long to run on my local machine. It is easier to run
Jupyter Notebook on my cloud desktop
Read full review The engine with which it works to process a lot of information is striking, the comparison also being the connectors it has for different RDBMS, which other tools do not count as they are GNU licenses or community editions. The friendly and intuitive environment is what catches the eye. that's why I choose Talend over any other tool
Read full review Return on Investment Python Software Foundation
In a short time, we were able to develop several ML models for various teams to make accurate decisions. Beginners can easily understand and adapt to GUI. We could automate several manual validation tasks and so could reduce human intervention. Read full review Definitely simplified the development efforts on our end in doing the data integration, saving lots of human hours. Small company, so cost could be a problem for these services, but works so far. Read full review ScreenShots