Anaconda vs. Bizagi Digital Business Platform

As a Data Analyst, it is my job to analyze large datasets using complex mathematical models. Anaconda provides a one-stop destination with tools like PyCharm, Jupyter, Spyder, and RStudio. One case where it is well suited is for someone who has just started his/her career in this field. The ability to install Anaconda requires zero to little skills and its UI is a lot easier for a beginner to try. On the other hand, for a professional, its ability to handle large data sets could be improved. From my experience, it has happened a lot that the system would crash with big files.

Incentivized

Permits dependence reduction on external IT suppliers, maximum value extraction from large/legacy systems, and business and IT collaboration. For big Companies, while an enterprise should expect to face a lot of difficulties, thus increasing the learning curve, while dealing with the platform's rollout the timeline to deploy is extensive.

Incentivized

• It provides easy access to software like Jupyter, Spyder, R and QT Console etc.
• Easy installation of Anaconda even without much technical knowledge.
• Easy to navigate through files in Jupyter and also to install new libraries.
• R Studio in Anaconda is easy to use for complex machine learning algorithms.

Incentivized

• design process
• enable to collaborate on process with customer
• enable to generate good world documents
• has a clear view how the process will looks like
• enable to design roles in the workflow

Incentivized

• Although I have generally had positive experiences with Anaconda, I have had trouble installing specific python libraries. I tried to remedy the solution by updating other packages, but in the end, things got really messed up, and I ended up having to uninstall and reinstall a total of about 4 times over the past 2 years.
• If you have the free version of Anaconda, there is not much support. Googling questions and error messages are helpful, but there were times when I wished I would have been able to ask technical support to help me troubleshoot issues.
• There were a few times when I tried to install tensorflow and tensorboard via Anaconda on a PC, but I could not get them to install properly. Anaconda allows you to create 'environments' , which allow you to install specific versions of python and associated libraries. You can keep your environments separate so they do not conflict with one another. Anyway, I ended up having to create several 'conda envrionments' just so I could use tensforflow/tensorboard and a few other utilities to avoid errors. This was somewhat annoying, because every time I wanted to run a specific model, I'd have to open up the specific conda environment with the appropriate python libraries.

Incentivized

• Some minor things to improve but works pretty well. If you have an idea to improve Bizagi Modeler, you can post it on the Bizagi forum, and maybe, in a next release, you will find it realized. Yes, it happened to me.

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

Try it and you will understand.

The interface is an easy to use command-line interface, or a GUI for launching and/or discovering different parts of the system.

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

Online training Free Well chaptered Progressive

ANACONDA VS Alteryx Analytics: Even though I find Alteryx to be an excellent tool for managing extremely massive data, Anaconda is much better and easy for analytics. Anaconda VS. MicroStrategy Analytics: Compared with Anaconda, MicroStrategy Analytics is very difficult to use and counter-intuitive Anaconda VS. Power BI For Office 365: One of the main advantages of BI for Office 364 is its capacity to data connectivity. However, it's very hard to edit data connections, once BI for Office is deployed in other platforms

Incentivized

The pricing/value proposition of the product compared to its competitors is very competitive.

The cost is reasonable, especially for what you get, and especially for this software segment.

Incentivized

• Positive: Lower maintenance cost compared to other tools on the market
• Positive: Ease in hiring professionals already accustomed to the tool in the job market
• Positive: Projects are portable, allowing you to share projects with others and execute projects on different platforms, reducing deployment costs

Incentivized

• it speeds up very much designing the workflows so we save time and money
• it helps to accept process with customer so it also safe time and money

Incentivized