Anaconda vs. Windward Core

I have asked all my juniors to work with Anaconda and Pycharm only, as this is the best combination for now. Coming to use cases: 1. When you have multiple applications using multiple Python variants, it is a really good tool instead of Venv (I never like it). 2. If you have to work on multiple tools and you are someone who needs to work on data analytics, development, and machine learning, this is good. 3. If you have to work with both R and Python, then also this is a good tool, and it provides support for both.

Incentivized

Great for Technical Users. It's great for people a bit more on the technical side. It allows developers to quickly create and modify reporting templates without having to modify source code or make updates to a repository. Potentially Difficult for Non-Technical Users. Making substantial changes to the data portions of reporting can be a bit difficult for non-technical users. While Windward's tools for this are great, it still requires an understanding of the database schema which not all users will have.

Incentivized

• Anaconda is a one-stop destination for important data science and programming tools such as Jupyter, Spider, R etc.
• Anaconda command prompt gave flexibility to use and install multiple libraries in Python easily.
• Jupyter Notebook, a famous Anaconda product is still one of the best and easy to use product for students like me out there who want to practice coding without spending too much money.

Incentivized

• Native Office output -- not nested tables and/or horrible RTF like other tools generate.
• Ease of use -- once the data sources are set up, creating tables is as simple as drag and drop (okay, maybe not exactly that simple, but you can certainly create a table of data using drag and drop, then format it and manipulate it as needed).
• Responsive developers and support -- when I've had questions, they've been addressed VERY quickly and professionally.

Incentivized

• It can have a cloud interface to store the work.
• Compatible for large size files.
• I used R Studio for building Machine Learning models, Many times when I tried to run the entire code together the software would crash. It would lead to loss of data and changes I made.

Incentivized

• It is hard to pick out the tags if they are mixed in with a block of text.
• Using report variables in select statements causes the selection list of available fields to not show anything.
• The color themes do not match the office selection and it feels very disconnected.

It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.

Incentivized

I am giving this rating because I have been using this tool since 2017, and I was in college at that time. Initially, I hesitated to use it as I was not very aware of the workings of Python and how difficult it is to manage its dependency from project to project. Anaconda really helped me with that. The first machine-learning model that I deployed on the Live server was with Anaconda only. It was so managed that I only installed libraries from the requirement.txt file, and it started working. There was no need to manually install cuda or tensor flow as it was a very difficult job at that time. Graphical data modeling also provides tools for it, and they can be easily saved to the system and used anywhere.

Incentivized

For the most part, the Windward report designer is intuitive for our users; but there are a few areas where it is less intuitive. In these cases, our users need to search Windwards support wiki site, or even contact their support technicians. This can also be due to the short time we've had Windward and our lack of knowledge.

Incentivized

Anaconda provides fast support, and a large number of users moderate its online community. This enables any questions you may have to be answered in a timely fashion, regardless of the topic. The fact that it is based in a Python environment only adds to the size of the online community.

Incentivized

Support is something they take pride in. Once an issue is raised, they are quick to respond and provide details on a fix. No complaints on support here.

I have experience using RStudio oustide of Anaconda. RStudio can be installed via anaconda, but I like to use RStudio separate from Anaconda when I am worin in R. I tend to use Anaconda for python and RStudio for working in R. Although installing libraries and packages can sometimes be tricky with both RStudio and Anaconda, I like installing R packages via RStudio. However, for anything python-related, Anaconda is my go to!

Incentivized

We evaluated several other products to integrate with our new software, but Windward Studios was an obvious standout above the majority. Other applications required some level of software development knowledge and experience to create templates and a much steeper learning curve. After consideration of ease of use, as well as a cost-comparison between different products, Windward Studios was the most suitable product to meet our needs.

Incentivized

• It has helped our organization to work collectively faster by using Anaconda's collaborative capabilities and adding other collaboration tools over.
• By having an easy access and immediate use of libraries, developing times has decreased more than 20 %
• There's an enormous data scientist shortage. Since Anaconda is very easy to use, we have to be able to convert several professionals into the data scientist. This is especially true for an economist, and this my case. I convert myself to Data Scientist thanks to my econometrics knowledge applied with Anaconda.

Incentivized

• As a fully integrated solution, the ROI is impacted when a client gets stickier with our solution because they see the benefit of Windward.
• Support has been fantastic for our development team so that as we integrate the solutions we have a clear and clean design.

Incentivized