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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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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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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.

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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 Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(121)

Attribute Ratings

Reviews

(1-10 of 10)
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Meena B | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
One of the best features of Oracle Machine Learning is the ability to be able to use it in python environment. The OML4py is amazing when it comes to deployments (uses REST API) and the manipulation of data and tables in the environment works as a charm. I have personally used the feature selection whilst performing a principle component analysis for one of the research papers and OML4py was spot on.
Vishal Shivdasani | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Well suited for distributed and structured finance team. Less suited for ad hoc analytical requirements. When building repeatable SQL queries which often take a good bit of time, this is a great platform. Queries that are significantly complex need to be outsourced. On many occasions, a quick and dirty request is needed and often this is not the best platform to do that.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
Tu Tran | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
OAC doesn't require software to be installed since it is browser based. This allows for easier deployment since a local client software is not required to be installed for each user. OAC can be used for the casual light user who mainly consumes data to the power user who can created sophisticated dashboard with advanced analytics. OAC is not meant to replace Essbase reporting.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Oracle Advanced Analytics is used by our Marketing, Sales and Policy Teams. We use this program to keep track of customers' behavior and trends. Oracle Advanced Analytics aids us in being able to provide the right communications to our marketing and sales customers via email, direct mail or SMS. Our policy team can track and monitors customer enrollment trends and uses this info to create dashboards for our executives and our sales team to provide a pulse of the business.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
OAA seems to work best translating easy to read reports. This works great when we don't need too much overhead just a quick report to get out to our sales team. Time can be a crunch at times so this is a huge plus.
Simon Vargas | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We track our customers monthly so data is constantly coming in about whether or not our new marketing campaign was successful versus not OR when we attend a trade show. We tend to upload information on our consumers to track how quickly we can convert the customer from a prospect to a paying customer.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
As mentioned before Oracle Advanced Analytics is great for analyzing, combining and extracting my company's data. It delivers flexible data that is easy to understand. It can at times be frustrating where fields that are available have generic names that are not used by my organization. This can result in wasting time trying to find data that may be held in fields that you don't recognize.
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