Review for Anaconda
April 15, 2021

Review for Anaconda

Tigran Petrosyan | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Anaconda

Anaconda is mainly used only by some of the departments in our bank. Specifically in our department it is mainly used as a environment for coding in python although some of my colleagues use it as a environment for coding in R. As risk managers we usually do some complex tasks using python (to predict exchange rate fluctuations and evaluate market and credit risks).
  • First of all it is very easy to install and it is user friendly. You just download a Anaconda from its official site and you can start using it for coding (I usually code using Jupiter Notebook) Compared to PyCharm it is easier navigate in Anaconda(Jupiter Notebook)
  • For me it is a best environment to use if I have small projects. Jupiter Notebook is running tasks much faster compared to PyCharm and other IDE's.
  • In my work I usually need different scientific packages that are not commonly used. As Anaconda have thousands of libraries it helps me making my job easier
  • As I use Anaconda mainly for Jupyter Notebook I will provide cons of Jupiter Notebook, First of all it consumes a lot of RAM.
  • Jupyter Notebook is a good tool for small projects. However it can not handle large projects very well as it is not structured(whereas in PyCharm you can create a project and have all files related to that project in 1 place)
  • It takes some time to load Anaconda. Sometimes it even makes computer to freeze
  • Jupiter Notebook
  • large amount of scienetific libraries
  • fast & easy to install
  • It saves my time a lot. I do not need to search different libraries and then install them in my computer.
  • It makes my coding experience better. Using Jupiter notebook helps me to save a lot of time as it runs code faster
I know that PyCharm is a IDE and Anaconda is a distribution. However I use Anaconda largely due to Jupyter Notebook, which more or less does the same job as PyCharm. 1 year ago I decided to use Anaconda (Jupiyer Notebook) as it is easier to use it as a beginner(at least my friends said so). Now I can verify that . Now I use Jupyter Notebook as I do not have large projects

Do you think Anaconda delivers good value for the price?

Yes

Are you happy with Anaconda's feature set?

Yes

Did Anaconda live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Anaconda go as expected?

I wasn't involved with the implementation phase

Would you buy Anaconda again?

Yes

Anaconda have a lot of scientific libraries of Python which I use in my everyday work (Pandas, Numpy, Seaborn, matplotlib, etc). Jupiter Notebook is a best option for me if I have small tasks or small projects which I must do using Python. However if I have large projects I prefer to use PyCharm.

Anaconda Feature Ratings

Connect to Multiple Data Sources
10
Extend Existing Data Sources
10
Automatic Data Format Detection
9
MDM Integration
Not Rated
Visualization
10
Interactive Data Analysis
10
Interactive Data Cleaning and Enrichment
9
Data Transformations
10
Data Encryption
Not Rated
Built-in Processors
10
Multiple Model Development Languages and Tools
10
Automated Machine Learning
10
Single platform for multiple model development
9
Self-Service Model Delivery
Not Rated
Flexible Model Publishing Options
10
Security, Governance, and Cost Controls
10