Anaconda - a platform made for Py.
Updated September 11, 2021

Anaconda - a platform made for Py.

Anonymous | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with Anaconda

Anaconda open-source distribution is a flexible platform enabling users to work with several popular data analytics languages such as R and Python.

It is being used by Engineering and Geoscience teams to prototype custom algorithms for use in solving use cases in the oil and gas industry, including subsurface, operations and other relevant functional area such as health, safety and environment.
  • Open-source - free!
  • Supports multiple popular data analytics languages.
  • Easy to create reproducible projects via environments.
  • Getting Spyder IDE to work consistently across environment.
  • Platform speed.
  • Make it available in cloud marketplace (e.g., Azure) for ease of deployment.
  • Quicker time to deployment.
  • Project reproducibility and save on debugging.
  • Cost is higher than other similar platforms.
Suitable for Python development where there’s internal supporting for Python; otherwise, other platform offers similar capabilities with lower cost.
Prompt response.

Do you think Anaconda delivers good value for the price?

Not sure

Are you happy with Anaconda's feature set?


Did Anaconda live up to sales and marketing promises?


Did implementation of Anaconda go as expected?

I wasn't involved with the implementation phase

Would you buy Anaconda again?


A must-try for smaller data analytics teams who seek project reproducibility, multiple language support and extensive community support. For bigger teams, consider the enterprise version, which makes it easy for app, API deployment, authentication, custom repository, and sharing of work spaces.

Anaconda Feature Ratings

Connect to Multiple Data Sources
Extend Existing Data Sources
Interactive Data Analysis
Interactive Data Cleaning and Enrichment
Data Transformations
Multiple Model Development Languages and Tools
Single platform for multiple model development
Self-Service Model Delivery
Flexible Model Publishing Options
Security, Governance, and Cost Controls