Dump the data and see the magic!!!
Oracle Machine learning (formerly OAA) addresses a wide range of problems related to big data and data analytics. It helps the analytics …
Overview
What is Oracle Machine Learning?
Oracle Machine Learning (formerly Oracle Advanced Analytics) combines the Oracle database with Oracle Data Miner and SQL as well as R programming language functionality, providing a complete predictive analytics suite.
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What is Oracle Machine Learning?
Oracle Machine Learning (formerly Oracle Advanced Analytics) combines the Oracle database with Oracle Data Miner and SQL as well as R programming language functionality, providing a complete predictive analytics suite.
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- Premium Consulting/Integration Services
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Alternatives Pricing
What is Azure Machine Learning?
Microsoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench.
What is Qlik Sense?
Qlik Sense® is a self-service BI platform for data discovery and visualization. It supports a full range of analytics use cases—data governance, pixel-perfect reporting, and collaboration. Its Associative Engine indexes and connects relationships between data points for creating actionable insights.
Product Demos
Machine Learning 102: Clustering
YouTube
Machine Learning 101: Regression
YouTube
Oracle Machine Learning for R: An Introduction
YouTube
Oracle Data Miner 3 min demo
YouTube
Oracle Machine Learning for Python, with Demos
YouTube
Product Details
- About
- Competitors
- Tech Details
- FAQs
What is Oracle Machine Learning?
The Oracle Machine Learning product family (replacing the former Oracle Advanced Analytics product) is designed to enable scalable data science projects. The vendor states that data scientists, analysts, developers, and IT can achieve data science project goals faster while taking full advantage of the Oracle platform. Oracle Machine Learning consists of complementary components supporting scalable machine learning algorithms for in-database and big data environments, notebook technology, SQL and R APIs, and Hadoop/Spark environments.
Oracle Machine Learning Competitors
Oracle Machine Learning Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Frequently Asked Questions
Oracle Machine Learning (formerly Oracle Advanced Analytics) combines the Oracle database with Oracle Data Miner and SQL as well as R programming language functionality, providing a complete predictive analytics suite.
MATLAB, IBM SPSS Statistics, and Azure Machine Learning are common alternatives for Oracle Machine Learning.
The most common users of Oracle Machine Learning are from Small Businesses (1-50 employees).
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Reviews and Ratings
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Reviews
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April 11, 2021
Dump the data and see the magic!!!
Oracle Machine learning (formerly OAA) addresses a wide range of problems related to big data and data analytics. It helps the analytics team to analyze huge chunks of raw data obtained for research purposes. This data can come from open source, or medical equipment companies, and more.
- Analyzing heaps of data dumped into the machine learning tool.
- Giving the researcher an insight on which direction to proceed in order to get the desired results.
- Can help perform a functional analysis before doing a deep dive.
- Pricing for tools integrations is [a] big negative aspect.
- Formatting is not as user friendly as it looks.
- I encountered issues with loading large amounts of data for research purposes.
- Though it is a bit pricey when it comes to other standalone open source ML tools, the ability of Oracle Machine Learning on feature selection is icing on the cake.
- A few of my peers have used it with R as well and they were all praises for the functionality it has to offer.
- One of my research papers needed me to use Oracle Machine Learning with OML4py on a python environment and I absolutely was satisfied with the outcome.
December 16, 2019
Advanced Analytics from Oracle - a high-level review
OAA (now OML) is being used at the departmental level, rolling up to the region (North America) and finally to the whole organization. It has assisted in identifying weaknesses and leakages in the organization and assessing anomalies in P&L, Balance Sheet, and Cashflow reporting. The ability to scale up has provided a unique view to assess what ails the organization as a whole from the ground up. The ability to address pervasive issues is critical in fixing the leakages and anomalies throughout the organization.
The other concern was being able to segment data and analytics by department. One dept. did not need to see the other department's numbers and vice versa. The ability to manage access rights is also a critical feature of this module.
The other concern was being able to segment data and analytics by department. One dept. did not need to see the other department's numbers and vice versa. The ability to manage access rights is also a critical feature of this module.
- Rights management.
- Decimation of data from group to region to department, whittling down Big Data!
- More pre-built tools, easier SQL query building.
- Not sure I like the self balancing feature on the Balancesheet.
- Acceleration in close.
- Savings in level of effort to deliver presentation and analytics.
Sorry this product was not selected by me, but was a legacy install that was upgraded. I see the value in the product, however, I was not involved in the selection process.
Great for any organization that needs to make sense of the vast amount of data that they produce on a daily, weekly and monthly basis. Oracle Machine Learning provides you a clear picture of your business and your end-user product generated data. This helps you to better serve your customers and also enables products and feature improvements. We use Oracle Machine Learning throughout all of our company's departments.
- Great view of all your data in one central location
- Fantastic customization of reports to drill down the data to your exact needs and requirements
- UI is laid out very well and simple to use
- New enhancements and features are constantly being improved and added
- Your can scale Oracle Machine Learning very easily and can grow with your company
- As mentioned by others the formatting of reports constantly has issues
- Once your initial contract terms are up be prepared for a significant increase
- Pricing needs to be inline with what other competitors are offering
- Oracle has been great on our ROI since it has improved our business operations and enabled us to serve our customers better.
- We have been able to get a clear and precise picture of the vast amounts of data that we produce.
- Our internal and external business operations have improved since we don't have to vast resources to understand our data anymore.
- Microsoft Dynamics 365 (formerly Microsoft Dynamics CRM)
We initially looked at MS Dynamics but it would have required a lot of customization and 3rd party solution providers which drove the cost up.
We use Oracle Machine Learning throughout most of our entire organization. Our development, sales, and technical support departments use Oracle extensively. We put everything from support tickets, development requests, and sales data into oracle to give us an overhead view of where we can make improvements to better take care of our customers' needs.
- Throw tons of data at Oracle Machine Learning to get a birds-eye view of your companies data.
- The UI design is straightforward and easy to onboard new people.
- Constantly added new features and improvements.
- It can be tailored to your exact needs with ease.
- Performance can suffer if you input vast amounts of data all at once.
- One your initial contract term expires Oracle will hike up your rates and after going back and forth (time-consuming) you get to a reasonable rate.
- Like others have stated the formatting can become an issue.
- Our ROI has been great since we have been able to get a birdseye view of our business operations.
- Shows your areas within your company that needs attention and improvements.
- Oracle has had a positive impact on all of our business objectives since it provides a clear view of your business operations.
- Microsoft Dynamics 365 (formerly Microsoft Dynamics CRM)
We initially looked at Dynamics but would have to had to add on a 3rd party provider that would have had to customize a solution and at the end dynamics licensing would have been more in the long run.
December 17, 2018
Oracle Advanced Analytics review by a simple Engineering Nerd
This program is being used across our sales and engineering team. We use this program to keep track of customers' habits and trends. Oracle Advanced Analytics (OAA) helps me be able to provide the most relevant marketing and sales information to our customers. Our engineering team can track and monitor trends while passing all this information to our sales team.
- Very easy to integrate from other software such as SalesForce, Gmail, and Tenfold
- Easy to format and produce reports without too much technical knowledge. Very easy to read and convey the data needed
- Scales quite well with the amount of data we are processing on a monthly basis
- At times OAA seem to be unstable and is known to crash. Stability can be a issue
- Formatting, fonts, and characters customization is lacking. It would be nice to be able to create a custom repeat using the above features
- It can be pricey compared to other analytical software
- Opens a great communication channel between engineering and sales. This provides current data and trends which can be used as a marketing purpose to perspective clients.
- The ease of use has also allow for less time of setting up/ deploying analytic software. For the most part it is stable
SAS and OAA for the most part in our testing where very equal in performance and reporting. Ultimately we went with OAA since our company has multiple Oracle products in use throughout our engineering team. We felt comfortable with Oracle support since we have had conversation in the past.