Anaconda provides a vast array of compilers and tools for every developer - and is easy enough for non-developers to setup.
March 04, 2020

Anaconda provides a vast array of compilers and tools for every developer - and is easy enough for non-developers to setup.

Ryan McGarry | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Anaconda

We use Anaconda to support software development objectives for our staff. It helps us reduce "time waste" by quickly onboarding employees and setting up the majority of their development environments, so they have all of their necessary tools.
  • It provides a smooth, intuitive GUI to automate setting up a development environment.
  • Helps install new compilers without user input
  • Assists with finding and installing necessary dependencies.
  • Anaconda could greatly benefit by integrating with Git and other versioning software.
  • The software's default installation is relatively bloated, slower on older machines, and could be improved by allowing for a lean default installation environment.
  • Anaconda has an issue with supporting the current version of Computer-Vision, a commonly used machine learning package.
  • We have seen a positive ROI as the intuitive GUI provides a quick way for unskilled administrators to set up machines for new employees.
  • Anaconda provides a positive ROI by enhancing our team's efficiency in code versioning.
  • It requires a long installation time on older/slower machines due to a large number of applications/packages that are installed by default, which can negatively impact production in some cases.
MATLAB is more of a pay-as-you-go alternative, which not only does not use Python but is also more bloated and costly. MATLAB takes longer to install, setup, and configure for new users who may require specific packages - such as the Classification Learner (machine learning), Signal Processing Application, or Regression Learner application. Furthermore, far fewer developers recommend MATLAB in developing scientific applications compared to Python.
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.

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

Anaconda is excellent for quickly setting up new users on a software development team, and providing them with necessary dependencies.

Anaconda Feature Ratings

Extend Existing Data Sources
10
Automatic Data Format Detection
10
MDM Integration
8
Visualization
10
Interactive Data Analysis
10
Interactive Data Cleaning and Enrichment
9
Data Transformations
9
Data Encryption
5
Built-in Processors
9
Multiple Model Development Languages and Tools
9
Automated Machine Learning
8
Single platform for multiple model development
9