Intel(R) Data Analytics Acceleration Library
13
Reviews
4.3
Star rating
#33
Rank in Machine Learning
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Key stats
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55
Enterprise
1
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 30.8% |
| Mid-Market | 23.1% |
| Enterprise | 46.2% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|
Satisfaction ratings
Ease of Use9.4
Ease of Setup9.3
Quality of Support8.1
Meets Requirements8.8
What reviewers say
Really fast and useful set of tools and information for any big data application
4.5
“Provides great performance increase for big data analysis, highly optimized algorithms, transformation, analysis and modelling, and decision making. Relatively simple to implement and integrate with existing data stores.”
Easy to use. Nice documentation.
5.0
“It's shorter learning curve and very detailed documentation.”
Research project
5.0
“In fact the Intel is the first to initiate academic resources of IoT, AI, Analytics, ML, DL.”