Good way to standardize Python-based developments & support for desktop users.
March 17, 2020

Good way to standardize Python-based developments & support for desktop users.

Juande Santander-Vela | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Anaconda

The usage of Anaconda is not yet standard through the organization, but many people at my organization use it as the best way to create a standardized Python environment. In particular, the Miniconda distribution is preferred for deployment of Python-based containers, as it allows for a better, finer-grained installation in containers. For desktop users, the full Anaconda distribution is used, as it comes with several packages that are used throughout the organization: Astropy, NumPy, Matplotlib, Pandas, and others.
  • Management of custom environments
  • Support for standardizing deployments
  • Deployment in containers using Miniconda
  • Update of Conda packages is becoming slower. The 4.7 update was welcome, but seems to be regressing again.
  • Anaconda (and especially Miniconda) has simplified our deployment strategy.
Anaconda has 64-bit support in the community edition, and package management is more in line with the way we think.
There are a lot of materials allowing you to get self-service support with Anaconda. I have not tried any support tier for Anaconda.

Do you think Anaconda delivers good value for the price?


Are you happy with Anaconda's feature set?


Did Anaconda live up to sales and marketing promises?


Did implementation of Anaconda go as expected?


Would you buy Anaconda again?


Anaconda, and Miniconda, are easy to deploy, scientifically-ready Python distributions, especially well-suited for the fields of science, astronomy, and engineering. We are using Miniconda for finer-grained customization of environments in containers for deployment.

We are not using the customer supported version of Anaconda, and instead, we are relying on the community edition, based on the Open Source of all of our software. Hence, I am not evaluating Anaconda's support. Also, we are not making use as a company of the multi-language support in Anaconda, but I have tried the SciJava, R, and Julia support in Anaconda.

Anaconda Feature Ratings

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

Using Anaconda

Like to use
Relatively simple
Easy to use
Technical support not required
Well integrated
Quick to learn
Feel confident using
  • Environment Update
  • Package Management
  • Managing non-standard channels
The interface is an easy to use command-line interface, or a GUI for launching and/or discovering different parts of the system.