DataRobot vs Make (Integromat): Complete Comparison (2026)

Updated: March 7, 20268 min read
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DataRobot
AI & Machine Learning
86
SoftScout Score
VS
⚙️
Make (Integromat)
AI & Machine Learning
94
SoftScout Score
RECOMMENDED

Quick Comparison

DataRobot
Make (Integromat)
Starting Price
Custom pricing
$9/mo
Free Plan
No
Yes
Users
3K+ orgs
800K+
Founded
2012
2012
Rating
4.3/5
4.7/5
Best For
Enterprises wanting automated ML without deep data...
Power users building complex, multi-step automatio...

Feature-by-Feature Comparison

DataRobotMake (Integromat)
85Ease of Use96
90Features98
84Value for Money98
81Customer Support89
83Integrations91
84Mobile App92
AI Verdict

Make (Integromat) leads with a SoftScout Score of 94 vs 86 for DataRobot. Make (Integromat) is best suited for Power users building complex, multi-step automations between apps, while DataRobot excels for Enterprises wanting automated ML without deep data science expertise. Both are strong options in the AI & Machine Learning space.

CHOOSE DATAROBOT IF:

Enterprises wanting automated ML without deep data science expertise.

CHOOSE MAKE (INTEGROMAT) IF:

Power users building complex, multi-step automations between apps.

Frequently Asked Questions

Is DataRobot better than Make (Integromat)?
Make (Integromat) scores 94/100 on SoftScout compared to DataRobot's 86/100. However, the best choice depends on your specific needs. DataRobot is best for Enterprises wanting automated ML without deep data science expertise. Make (Integromat) is best for Power users building complex, multi-step automations between apps.
Does DataRobot have a free plan?
No, DataRobot does not offer a free plan. Plans start from Custom pricing.
Does Make (Integromat) have a free plan?
Yes, Make (Integromat) offers a free plan. Paid plans start from $9/mo.
Can I migrate from DataRobot to Make (Integromat)?
Migration between DataRobot and Make (Integromat) depends on the specific features you use. Both tools are in the AI & Machine Learning category. Check each tool's import/export options for data portability before switching.