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Oracle Machine Learning

Oracle Machine Learning
Formerly Oracle Advanced 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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Recent Reviews
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Pricing

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Oracle Machine Learning

Oracle Machine Learning

N/A
Unavailable

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.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Azure Machine Learning

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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.

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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
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Product Details

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 SystemsUnspecified
Mobile ApplicationNo

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 Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews and Ratings

(121)

Attribute Ratings

Reviews

(1-3 of 3)
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November 05, 2019

Throw all your data and Oracle Machine Learn to get a clear picture of your data!

Verified User
Executive in Information Technology
Health, Wellness and Fitness Company, 501-1000 employees
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
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.
Pros and Cons
  • 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
Likelihood to Recommend
If your company produces large amounts of data and you want to get a better picture of that data to improve business operations and improve your customer's experience then Oracle Machine Learning is for you. If you're a small company that does not produce a significant amount of data then Oracle might be a little overkill. There are other platforms that are tailor for SMB's that have almost all the functionality as Oracle Machine Learning does at a quarter of the price but are limited on scalability.
Return on Investment
  • 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.
Alternatives Considered
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.
Other Software Used
November 01, 2019

Input all your data to get a great birds-eye view of your business operations

Verified User
Executive in Information Technology
Information Technology and Services Company, 1001-5000 employees
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
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.
Pros and Cons
  • 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.
Likelihood to Recommend
Oracle Machine Learning is great for any organization that has vast amounts of data and that requires a birds-eye view of the data in simple reports. This will show you how certain departments can improve and better assist your customers. Oracle can be pricey for small to mid-sized companies compared to other competitors.
Return on Investment
  • 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.
Alternatives Considered
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.
Other Software Used
Microsoft Azure, Amazon S3 (Simple Storage Service), Amazon Elastic Compute Cloud (EC2)
October 31, 2019

If you want to feed raw data to get clear and precise reporting then Oracle Machine Learning is for you!

Verified User
Administrator in Information Technology
Health, Wellness and Fitness Company, 501-1000 employees
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
We use Oracle Machine Learning in our Sales and DevOps departments. Oracle enables us to feed our customer's constant date into an easy to understand format that makes it easy to analyze what areas of our customer's billing operations require attention. This also enabled our sales team to better understand our customer's needs and provide additional services that we offer to our existing customer base.
Pros and Cons
  • You can grow with Oracle Machine Learning since you can scale from an SMB to Enterprise-level without too much complexity.
  • Supports large amounts of data with ease.
  • Great integration with Salesforce with just a few clicks.
  • Very customizable and can be tailored to your organization's exact needs and requirements.
  • Once your initial contract ends it can become pricey.
  • Sometimes reporting formatting is off or does not format correctly.
  • Support contracts for DevOps can get pricey.
Likelihood to Recommend
If your organization produces large amounts of data and you want to get a visual representation of that data, then Oracle Machine Learning is a great solution. If provides insights into your customers and areas where you can up-sell additional services to your existing customer base and provide better reporting to your new and existing customers of there raw data.
Return on Investment
  • THE ROI has been great for us since we have been able to up-sell additional services to our customer base.
  • We have been able to provide our customer's clear and precise reporting of their raw data.
  • We also have been able to reduce DevOps time by having an out of box solution which enables them to focus on other projects.
Alternatives Considered
We looked at MS Dynamics but the licensing costs would have become more expensive and would require adding additional staff to administer Dynamics.
Other Software Used
Microsoft Office 365, Microsoft Azure, Amazon Elastic Compute Cloud (EC2)
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