Very good tool to accelerate your ML process!
June 29, 2023

Very good tool to accelerate your ML process!

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with DataRobot

We use it to accelerate the building and deployment of our ML platform in our context to solve problems for financial applications.
  • ML training.
  • ML deployment.
  • Good documentation for implementing a first-API approach.
  • The MLOps platform is not great, especially the charts.
  • The license model presented to us didn't make full sense, you couldn't download any model using only the MLDev license.
  • Include more feature engineering options after uploading the data.
  • Higher volume financed.
  • Less time spent on manual rules.
  • Time To Market improved.
Time To Market improved a lot; we deliver new models faster. We can delegate some parts of the ML process to DataRobot itself, which is ideal since we are a small team. Moreover, we are less dependent on other teams since we don't have to manage servers and/or machines on our own. We don't loose time debugging Python issues during the training etc.
Being a small team, a lot of ML tasks are concentrated on very few people. In order to scale our ML platform, we needed to delegate efficiently some parts of the process, and we needed a good tool that could automate this, ideally with a first-API approach using Python. Datarobot fits this.

Do you think DataRobot delivers good value for the price?

Yes

Are you happy with DataRobot's feature set?

Yes

Did DataRobot live up to sales and marketing promises?

No

Did implementation of DataRobot go as expected?

Yes

Would you buy DataRobot again?

Yes

It's very well suited, in my opinion, for small teams or those cases well your models are necessary to support internal business decisions. Probably is not the best tool if the product that you are selling really is an ML model; in that case, you can use it as a baseline, and then you can try to beat Datarobot results.

DataRobot Feature Ratings

Connect to Multiple Data Sources
8
Extend Existing Data Sources
Not Rated
Automatic Data Format Detection
8
MDM Integration
Not Rated
Visualization
6
Interactive Data Analysis
7
Data Transformations
5
Data Encryption
Not Rated
Multiple Model Development Languages and Tools
Not Rated
Automated Machine Learning
7
Single platform for multiple model development
8
Self-Service Model Delivery
8
Flexible Model Publishing Options
10
Security, Governance, and Cost Controls
10