# Intel(R) Data Analytics Acceleration Library Reviews **Vendor:** Intel Corporation **Category:** [Machine Learning Software](https://www.g2.com/categories/machine-learning) **Average Rating:** 4.3/5.0 **Total Reviews:** 13 ## About Intel(R) Data Analytics Acceleration Library Intel Data Analytics Acceleration Library (or Intel DAAL) is a software development library that is highly optimized for Intel architecture processors it provides building blocks for all data analytics stages, from data preparation to data mining and machine learning. ## Intel(R) Data Analytics Acceleration Library Reviews ### 1. Really fast and useful set of tools and information for any big data application **Rating:** 4.5/5.0 stars **Reviewed by:** Marko G. | IT Technical Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** June 01, 2021 **What do you like best about Intel(R) Data Analytics Acceleration Library?** 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. **What do you dislike about Intel(R) Data Analytics Acceleration Library?** Being as new as it is lack of a larger community means issues and problems take a little longer to resolve but that will improve overtime as the popularity and integration grows. **Recommendations to others considering Intel(R) Data Analytics Acceleration Library:** Give it a try as all products will not suit everyone but in most circumstances, the toolset is all you need to perform the analysis and simplification of your data sets. **What problems is Intel(R) Data Analytics Acceleration Library solving and how is that benefiting you?** Using it for research purposes into big data analytics and platforms available to speed up and simplify the problems. ### 2. It seems that the library can increase efficiency of converting data into actionable insights. **Rating:** 4.0/5.0 stars **Reviewed by:** Ekjot S. | SDE-1 Software Development Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** October 15, 2021 **What do you like best about Intel(R) Data Analytics Acceleration Library?** I like the off-the-shelf deep learning models. **What do you dislike about Intel(R) Data Analytics Acceleration Library?** I'm not too fond of the dependency on intel processors. **What problems is Intel(R) Data Analytics Acceleration Library solving and how is that benefiting you?** None right now, but hopefully, it can increase efficiency in analyzing data. ### 3. Easy to use. Nice documentation. **Rating:** 5.0/5.0 stars **Reviewed by:** Amanpreet S. | Senior Associate Consultant – Data Science, Enterprise (> 1000 emp.) **Reviewed Date:** May 20, 2021 **What do you like best about Intel(R) Data Analytics Acceleration Library?** It's shorter learning curve and very detailed documentation. **What do you dislike about Intel(R) Data Analytics Acceleration Library?** It's not adopted widely as of now but in future we can hope to expand its reach. **What problems is Intel(R) Data Analytics Acceleration Library solving and how is that benefiting you?** Majorly using it for data analysis purpose to get insights in inventory data. It has been useful. Easy to use. ### 4. Easy to use **Rating:** 4.0/5.0 stars **Reviewed by:** Hanumant N. | Data scientist - Machine Learning/Deep learning, Enterprise (> 1000 emp.) **Reviewed Date:** May 24, 2021 **What do you like best about Intel(R) Data Analytics Acceleration Library?** Documents are very much simple and easy to understand **What do you dislike about Intel(R) Data Analytics Acceleration Library?** I did not found any dislike as such, not much **Recommendations to others considering Intel(R) Data Analytics Acceleration Library:** Definitely recommend, it's very handy and useful. Definitely try it. It gives good learning experience as well **What problems is Intel(R) Data Analytics Acceleration Library solving and how is that benefiting you?** Data analysis,eda ### 5. Research project **Rating:** 5.0/5.0 stars **Reviewed by:** SUDHAKAR K. | IEEE Guntur Subsection EC Member, Mid-Market (51-1000 emp.) **Reviewed Date:** May 15, 2021 **What do you like best about Intel(R) Data Analytics Acceleration Library?** In fact the Intel is the first to initiate academic resources of IoT, AI, Analytics, ML, DL. **What do you dislike about Intel(R) Data Analytics Acceleration Library?** There's nothing to dislike in the work of Intel **What problems is Intel(R) Data Analytics Acceleration Library solving and how is that benefiting you?** Data analytics of real world problems in society including Agriculture, business, marketing ### 6. Machine Learning Modifier **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Small-Business (50 or fewer emp.) **Reviewed Date:** May 19, 2021 **What do you like best about Intel(R) Data Analytics Acceleration Library?** Intel DAAL is mostly helpful in the following points - 1. Decision making 2.Modeling 3. preprocessing 4. validation 5. transformation **What do you dislike about Intel(R) Data Analytics Acceleration Library?** There's nothing to dislike in the work of Intel because of the performance. **Recommendations to others considering Intel(R) Data Analytics Acceleration Library:** it's like a BOOM. **What problems is Intel(R) Data Analytics Acceleration Library solving and how is that benefiting you?** real-world data analytics problems like healthcare, stockmarket anlysis, marketing analysis. the benefit is that it solves complex problems very effectively and quickly. ### 7. Data analytics library for easy machine learning algorithms **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** May 18, 2021 **What do you like best about Intel(R) Data Analytics Acceleration Library?** This work very well for the regression and classification problems. I like easy analysis methods foo data analysis. **What do you dislike about Intel(R) Data Analytics Acceleration Library?** I did not find any such dislikes however if it should have data visualization library which plays crucial role in data analytics. **What problems is Intel(R) Data Analytics Acceleration Library solving and how is that benefiting you?** We were traying to improve the quality of castings using image classification for auto ancillaries. ### 8. Data analytics library for deep learning projects with NLP **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** May 19, 2021 **What do you like best about Intel(R) Data Analytics Acceleration Library?** for data preparation to the data mining and machine learning **What do you dislike about Intel(R) Data Analytics Acceleration Library?** There's nothing to dislike in the work of Intel. **Recommendations to others considering Intel(R) Data Analytics Acceleration Library:** I would prefer to recommend this to my friends and colleagues. **What problems is Intel(R) Data Analytics Acceleration Library solving and how is that benefiting you?** Data analytics of real-world problems in the IT industry, including Deep Learning, IoT, and Business solutions. ### 9. Intel DAAL **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Program Development | Enterprise (> 1000 emp.) **Reviewed Date:** May 20, 2021 **What do you like best about Intel(R) Data Analytics Acceleration Library?** The Intel DAAL provides speed up for big data analysis, highly optimized algorithms, preprocessing,transformation, analysis and modeling, and decision making **What do you dislike about Intel(R) Data Analytics Acceleration Library?** As per the current requirements its good but eventually, we might need some upgrades **What problems is Intel(R) Data Analytics Acceleration Library solving and how is that benefiting you?** Data analytics and decision making of data models ### 10. Very useful library **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Small-Business (50 or fewer emp.) **Reviewed Date:** May 19, 2021 **What do you like best about Intel(R) Data Analytics Acceleration Library?** The description and well documented description **What do you dislike about Intel(R) Data Analytics Acceleration Library?** It's very good library hardly find any bad.. **Recommendations to others considering Intel(R) Data Analytics Acceleration Library:** Improve your support on technical and not technically aspect **What problems is Intel(R) Data Analytics Acceleration Library solving and how is that benefiting you?** I am trying to solve diseases problems using data science using ai ### 11. Hands on exp **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Wireless | Mid-Market (51-1000 emp.) **Reviewed Date:** May 15, 2021 **What do you like best about Intel(R) Data Analytics Acceleration Library?** Usage of optimized algorithms to boost performance **What do you dislike about Intel(R) Data Analytics Acceleration Library?** Platform dependent and tightly coupled with intel architecture **What problems is Intel(R) Data Analytics Acceleration Library solving and how is that benefiting you?** Linear Regression , Correlation and Variance-Covariance Matrices ### 12. Highly informative and innovative software that is easy to use **Rating:** 4.5/5.0 stars **Reviewed by:** Daniel M. | Analyst, Financial Services, Enterprise (> 1000 emp.) **Reviewed Date:** June 26, 2018 **What do you like best about Intel(R) Data Analytics Acceleration Library?** Intel really hit a home run with this one. I like how helpful this software can be in the process of data analysis as well as prediction and training. It lessons the employee's workload, enabling us to be more productive with our time. Missing data can easily and accurately be extrapolated by using Intel's software. **What do you dislike about Intel(R) Data Analytics Acceleration Library?** I wish Intel would update their software more often and be a bit more receptive to the communities that use their software programs. **What problems is Intel(R) Data Analytics Acceleration Library solving and how is that benefiting you?** Intel's Data Analytics Acceleration Library helps the Moffitt Cancer Center efficiently analyze research data. This software helps us detect anomalies and it accurately determines underlying trends within the data. Problems in research often arise when survey questions are unanswered or illegible and the underlying data is lost. However, this program can be used to effectively extrapolate the missing data based off of the remaining responses. ### 13. Speeds up big data analysis, makes our computers run like a dream **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.) **Reviewed Date:** November 24, 2017 **What do you like best about Intel(R) Data Analytics Acceleration Library?** Intel(R) Data Analytics Acceleration Library is something we've started using with new system updates wt work, and while it's something that runs in the background, you immediately notice a difference in batch, online, and distributed processing. The computer runs like a dream. **What do you dislike about Intel(R) Data Analytics Acceleration Library?** There's nothing I can say that I dislike, but as it's a relatively new tool that's been implemented, I understand it's a work in progress. **Recommendations to others considering Intel(R) Data Analytics Acceleration Library:** This is one of the highest performance libraries available right now. This open source project is worth getting to know, and I expect big things in the future. **What problems is Intel(R) Data Analytics Acceleration Library solving and how is that benefiting you?** Intel(R) Data Analytics Acceleration Library has helped tremendously because it helps speed up big data problems. This allows us to multitask and handle many tasks more efficiently. ## Intel(R) Data Analytics Acceleration Library Discussions - [What is Intel(R) Data Analytics Acceleration Library used for?](https://www.g2.com/discussions/what-is-intel-r-data-analytics-acceleration-library-used-for) - [View Intel(R) Data Analytics Acceleration Library pricing details and edition comparison](https://www.g2.com/products/intel-r-data-analytics-acceleration-library/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-25+16%3A59%3A05+-0500&secure%5Bsession_id%5D=a8177d2e-eeaf-4fbc-80e1-f11f89ec977b&secure%5Btoken%5D=1a95497266cfd01b4de84b2e13bb94897dbd1914e8f5a65f1c2e36bf03443fab&format=llm_user) ## Intel(R) Data Analytics Acceleration Library Features **Integration - Machine Learning** - Integration **Learning - Machine Learning** - Training Data - Actionable Insights - Algorithm ## Top Intel(R) Data Analytics Acceleration Library Alternatives - [Automation Anywhere Agentic Process Automation](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews) - 4.5/5.0 (4,011 reviews) - [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) - 4.4/5.0 (1,895 reviews) - [Phrase](https://www.g2.com/products/phrase-phrase/reviews) - 4.5/5.0 (1,264 reviews)