Databricks · Data
Unified data intelligence platform with AI/ML capabilities for building and deploying data pipelines and models.
Pricing
Usage-based (enterprise)
Trust 91
Data
MonkeyLearn
No-code text analytics platform for sentiment analysis, topic classification, and keyword extraction.
Now redirects elsewhere · confirmed 2026-09-30
monkeylearn.com now redirects to medallia.com, titled "Experience Management Software Platform - Medallia - Experience Management Software". This tool is left out of every ranking on this site. See what changed in September 2026.
What’s good
- Easy text analytics
- Good accuracy
- Nice visualizations
Where it falls down
- Text only
- Limited free tier
- Acquired by Medallia
Features
Sentiment analysis
Text classification
Keyword extraction
Integrations
Alternatives
Others doing the same job
Visit
Salesforce/Tableau · Data
AI-enhanced data visualization platform with Tableau Pulse for automated insights and natural language queries.
Pricing
$15-75/user/month
Trust 89
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Enterprise AI platform that automates the end-to-end machine learning lifecycle from data prep to production deployment.
Pricing
Enterprise pricing
Trust 84
H2O.ai · Data
Open-source AI and ML platform providing AutoML, model training, and deployment for enterprise data science.
Pricing
Free (open source) - Enterprise
Trust 83
Cost against price
MonkeyLearn costs $299. What does it cost to run?
We do not know which model MonkeyLearn runs on, so here is the range. One seat doing the light workload, on the cheapest, middlemost and dearest models in the index.
| If it runs on | Model | Model cost | Left of $299 |
|---|---|---|---|
| Cheapest priced model | Qwen 3.7 Flash | $0.13 | $299 (100%) |
| Middle of the range | Gemini 3.1 Pro | $11 | $288 (96%) |
| Dearest priced model | Claude Fable 5 | $48 | $251 (84%) |
A model, not an audit. This is what the intelligence would cost at that shape of work, not what MonkeyLearn pays: we do not know its model, its real usage or what it has negotiated, and the figures exclude caching, batching and volume discounts. What the gap is worth is the product, and that is the thing to judge.
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