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What is Oracle Stream Analytics?

Oracle Stream Analytics enables users to manage and analyze extensive streams of real-time data using sophisticated correlation methods, enrichment features, and the incorporation of machine learning. This innovative platform provides instant, actionable insights for organizations that work with streaming data, allowing for automated responses that cater to the demands of contemporary agile businesses. It includes Visual GEOProcessing with GEOFence relationship spatial analytics, which adds depth to location-based decision-making processes. Moreover, a newly launched Expressive Patterns Library offers a variety of categories, including Spatial, Statistical, General industry, and Anomaly detection, along with functionalities for streaming machine learning. With its user-friendly visual interface, individuals can effortlessly navigate live streaming data, promoting effective in-memory analytics that bolster real-time business strategies. The robust capabilities of this tool not only enhance operational efficiency but also streamline decision-making in dynamic environments, ensuring that businesses remain competitive and responsive to change. In essence, Oracle Stream Analytics stands as a vital asset for organizations aiming to thrive in the fast-evolving digital landscape.

What is KX Insights?

KX Insights functions as a cloud-centric platform that continuously delivers vital real-time performance analytics and actionable intelligence. By harnessing sophisticated methodologies, including complex event processing, rapid analytics, and machine learning interfaces, it enables rapid decision-making and automates event responses in mere milliseconds. The transition to cloud infrastructure involves not just storage and computational flexibility but also a comprehensive range of components: data, tools, development, security, connectivity, operations, and maintenance. KX empowers organizations to leverage this cloud capability, allowing them to make well-informed and insightful decisions by seamlessly incorporating real-time analytics into their operational strategies. Furthermore, KX Insights complies with industry standards, fostering openness and compatibility with various technologies, thereby speeding up the delivery of insights in a financially efficient way. Its architecture, built on microservices, is optimized for the efficient capture, storage, and processing of high-volume and high-velocity data, utilizing recognized cloud standards, services, and protocols to guarantee peak performance and scalability. This forward-thinking approach not only boosts operational efficiency but also equips businesses to adapt quickly to evolving market conditions, enhancing their competitive edge. By embracing these innovative solutions, organizations can better position themselves for future growth and success.

Media

Media

Integrations Supported

WEKA

Integrations Supported

WEKA

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/middleware/technologies/stream-processing.html

Company Facts

Organization Name

KX

Date Founded

1993

Company Location

United States

Company Website

kx.com/kx-insights/

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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