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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.

What is Cloudera DataFlow?

Cloudera DataFlow for the Public Cloud (CDF-PC) serves as a flexible, cloud-based solution for data distribution, leveraging Apache NiFi to help developers effortlessly connect with a variety of data sources that have different structures, process that information, and route it to many potential destinations. Designed with a flow-oriented low-code approach, this platform aligns well with developers’ preferences when they are crafting, developing, and testing their data distribution pipelines. CDF-PC includes a vast library featuring over 400 connectors and processors that support a wide range of hybrid cloud services, such as data lakes, lakehouses, cloud warehouses, and on-premises sources, ensuring a streamlined and adaptable data distribution process. In addition, the platform allows for version control of the data flows within a catalog, enabling operators to efficiently manage deployments across various runtimes, which significantly boosts operational efficiency while simplifying the deployment workflow. By facilitating effective data management, CDF-PC ultimately empowers organizations to drive innovation and maintain agility in their operations, allowing them to respond swiftly to market changes and evolving business needs. With its robust capabilities, CDF-PC stands out as an indispensable tool for modern data-driven enterprises.

Media

Media

Integrations Supported

WEKA

Integrations Supported

Cloudera
Cloudera Data Platform
Litmus Edge
Talend Data Preparation
Ternary

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

KX

Date Founded

1993

Company Location

United States

Company Website

kx.com/kx-insights/

Company Facts

Organization Name

Cloudera

Date Founded

2008

Company Location

United States

Company Website

www.cloudera.com/products/cdf.html

Categories and Features

Streaming Analytics

Not specified

Categories and Features

Data Integration

Not specified

Streaming Analytics

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

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