Anaconda turned a group into a team
March 03, 2020

Anaconda turned a group into a team

Xiaotong Song | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Anaconda

Anaconda is being used in the entire organization of my company. It ensures that data science teams across the whole organization manage our python environment and make sure the repeatability of the packages that we built internally as well as the notebooks and projects created by different teams.
  • Free
  • Integration
  • clear ENV
  • Free
  • Easy to use
  • Rich documentation
Compare Anaconda to Unix coding system. You can use PIP to install and create requirement.txt to replace environment.yml to avoid using Anaconda. However, Anaconda is such an excellent tool to maintain your environment and check the version of your package and update the package whenever needed, which is not available elsewhere.
There is a lot of sources to get support for Anaconda based on the large data scientist or data engineer user community. Whenever you need something, you can type it in Google search, and you can find out people who had a similar problem and the solution for it.

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?

Yes

Did implementation of Anaconda go as expected?

Yes

Would you buy Anaconda again?

Yes

If you are a data scientist or data engineer who is not only doing ad hoc analysis by oneself. You must have used Anaconda to maintain a clean python environment for others to recreate so that the team of people from other teams can work on the same project.

Anaconda Feature Ratings

Connect to Multiple Data Sources
9
Extend Existing Data Sources
9
Automatic Data Format Detection
9
MDM Integration
10
Visualization
9
Interactive Data Analysis
9
Interactive Data Cleaning and Enrichment
8
Data Transformations
9
Data Encryption
9
Built-in Processors
9
Multiple Model Development Languages and Tools
9
Automated Machine Learning
8
Single platform for multiple model development
9
Self-Service Model Delivery
9
Flexible Model Publishing Options
9
Security, Governance, and Cost Controls
9