Oracle Machine LearningOracle
|
StreamFluxFractal
|
|||||
Related Products
|
||||||
About
Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface.
|
About
Data is crucial when it comes to building, streamlining and growing your business. However, getting the full value out of data can be a challenge, many organizations are faced with poor access to data, incompatible tools, spiraling costs and slow results. Simply put, leaders who can turn raw data into real results will thrive in today’s landscape. The key to this is empowering everyone across your business to be able to analyze, build and collaborate on end-to-end AI and machine learning solutions in one place, fast. Streamflux is a one-stop shop to meet your data analytics and AI challenges. Our self-serve platform allows you the freedom to build end-to-end data solutions, uses models to answer complex questions and assesses user behaviors. Whether you’re predicting customer churn and future revenue, or generating recommendations, you can go from raw data to genuine business impact in days, not months.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Data scientists looking for a machine learning solution to accelerate the creation and deployment of machine learning models
|
Audience
Companies and organizations seeking a bespoke AI and ML solution to simplify their data science
|
|||||
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
|
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
|
|||||
Company InformationOracle
Founded: 1977
United States
www.oracle.com/data-science/machine-learning/
|
Company InformationFractal
United States
fractal.ai/streamflux/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Apache Hive
Supported
Apache Spark
Supported
AWS IoT
Not Supported
ActiveMQ
Not Supported
Amazon Kinesis
Not Supported
Amazon Web Services (AWS)
Not Supported
Apache Cassandra
Not Supported
Elasticsearch
Not Supported
Google Cloud BigQuery
Not Supported
Google Cloud Platform
Not Supported
|
Integrations
Apache Hive
Supported
Apache Spark
Supported
AWS IoT
Supported
ActiveMQ
Supported
Amazon Kinesis
Supported
Amazon Web Services (AWS)
Supported
Apache Cassandra
Supported
Elasticsearch
Supported
Google Cloud BigQuery
Supported
Google Cloud Platform
Supported
|
|||||
|
|
|