NVIDIA RAPIDS vs. Oracle Machine Learning

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
NVIDIA RAPIDS
Score 9.2 out of 10
N/A
NVIDIA RAPIDS is an open source software library for data science and analytics performed across GPUs. Users can run data science workflows with high-speed GPU compute and parallelize data loading, data manipulation, and machine learning for 50X faster end-to-end data science pipelines.N/A
Oracle Machine Learning
Score 8.0 out of 10
N/A
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.N/A
Pricing
NVIDIA RAPIDSOracle Machine Learning
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
NVIDIA RAPIDSOracle Machine Learning
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
NVIDIA RAPIDSOracle Machine Learning
Top Pros
Top Cons
Features
NVIDIA RAPIDSOracle Machine Learning
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
NVIDIA RAPIDS
9.1
2 Ratings
7% above category average
Oracle Machine Learning
-
Ratings
Connect to Multiple Data Sources9.62 Ratings00 Ratings
Extend Existing Data Sources8.82 Ratings00 Ratings
Automatic Data Format Detection9.02 Ratings00 Ratings
MDM Integration9.01 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
NVIDIA RAPIDS
9.4
2 Ratings
11% above category average
Oracle Machine Learning
-
Ratings
Visualization9.42 Ratings00 Ratings
Interactive Data Analysis9.42 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
NVIDIA RAPIDS
8.9
2 Ratings
8% above category average
Oracle Machine Learning
-
Ratings
Interactive Data Cleaning and Enrichment7.82 Ratings00 Ratings
Data Transformations9.42 Ratings00 Ratings
Data Encryption9.01 Ratings00 Ratings
Built-in Processors9.42 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
NVIDIA RAPIDS
9.2
2 Ratings
8% above category average
Oracle Machine Learning
-
Ratings
Multiple Model Development Languages and Tools9.01 Ratings00 Ratings
Automated Machine Learning9.42 Ratings00 Ratings
Single platform for multiple model development9.42 Ratings00 Ratings
Self-Service Model Delivery9.01 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
NVIDIA RAPIDS
9.2
2 Ratings
7% above category average
Oracle Machine Learning
-
Ratings
Flexible Model Publishing Options9.42 Ratings00 Ratings
Security, Governance, and Cost Controls9.01 Ratings00 Ratings
Best Alternatives
NVIDIA RAPIDSOracle Machine Learning
Small Businesses
IBM SPSS Modeler
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Score 7.8 out of 10
IBM SPSS Modeler
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Score 7.8 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.2 out of 10
Posit
Posit
Score 9.1 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
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Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
NVIDIA RAPIDSOracle Machine Learning
Likelihood to Recommend
10.0
(2 ratings)
8.0
(10 ratings)
User Testimonials
NVIDIA RAPIDSOracle Machine Learning
Likelihood to Recommend
NVIDIA
NVIDIA RAPIDS drastically improves our productivity with near-interactive data science. And increases machine learning model accuracy by iterating on models faster and deploying them more frequently. It gives us the freedom to execute end-to-end data science and analytics pipelines.
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Oracle
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.
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Pros
NVIDIA
  • Visualization
  • Deep learning pipeline
  • State of the art libraries
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Oracle
  • 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.
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Cons
NVIDIA
  • Its not flexible and cost effective for all sizes of organizations.
  • I appreciate it has hassle-free integration.
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Oracle
  • 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
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Alternatives Considered
NVIDIA
RAPIDS GPU accelerates machine learning to make the entire data science and analytics workflows run faster, also helps build databases and machine learning applications effectively. It also allows faster model deployment and iterations to increase machine learning model accuracy. The great value of money.
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Oracle
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.
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Return on Investment
NVIDIA
  • Efficient way to complete tasks
  • De-facto GPUs standard
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Oracle
  • 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.
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ScreenShots