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What is TIBCO Streaming?

TIBCO Streaming serves as a cutting-edge analytics platform dedicated to the real-time processing and examination of rapidly changing data streams, enabling organizations to make quick, informed decisions based on data insights. Its low-code development environment, StreamBase Studio, allows users to effortlessly build complex event processing applications with minimal coding skills necessary. The platform supports over 150 connectors, including APIs, Apache Kafka, MQTT, RabbitMQ, and databases such as MySQL and JDBC, facilitating seamless integration with various data sources. By incorporating dynamic learning operators, TIBCO Streaming enables the implementation of adaptive machine learning models that provide contextual insights and enhance decision-making automation. Additionally, it features strong real-time business intelligence tools that allow users to visualize up-to-date data alongside historical datasets, ensuring comprehensive analysis. With a design that prioritizes cloud readiness, the platform offers deployment flexibility across AWS, Azure, GCP, and on-premises environments, catering to diverse organizational requirements. This versatility makes TIBCO Streaming an invaluable asset for businesses looking to leverage real-time data for competitive advantages, and its user-friendly interface further empowers teams to innovate without heavy technical barriers. Ultimately, TIBCO Streaming emerges as a significant player in the realm of data analytics, aiding organizations in harnessing the potential of fast-moving data effectively.

What is SAS Analytics for IoT?

Leverage an all-encompassing, AI-driven approach to effectively access, organize, select, and transform data derived from the Internet of Things. SAS Analytics for IoT encompasses the full analytics life cycle linked to IoT, featuring a seamless and flexible ETL process, a data model prioritizing sensor data, and a sophisticated analytics framework enhanced by an elite streaming execution engine that enables intricate multi-phase analytics. Built on SAS® Viya®, this solution functions adeptly within a rapid, in-memory distributed environment. Learn how to develop SAS Event Stream Processing applications that can manage high-volume and high-velocity data streams, providing instantaneous responses while retaining only crucial data elements. This course covers the fundamental concepts of event stream processing, explaining the various component objects that can be employed to create efficient event stream processing applications. Our dedication to curiosity fuels innovation, as SAS analytics solutions transform raw data into actionable insights, empowering clients worldwide to embark on ambitious new projects that promote growth. By embracing the future of data analytics with SAS, organizations can unlock a realm of endless possibilities and drive transformative change. Through this journey, businesses will not only enhance their operations but also gain a competitive edge in their respective industries.

Media

Media

Integrations Supported

3forge
Amazon Web Services (AWS)
Apache Kafka
GitHub
Google Cloud Platform
Kubernetes
Microsoft Azure
MySQL
RabbitMQ

Integrations Supported

Capgemini Intelligent Automation Platform
DataTerrain
HPE Consumption Analytics
NVMesh
Omnio
Phonexia Voice Inspector
SAS Data Loader for Hadoop
SAS MDM
SAS Visual Statistics
SAS Viya
Uptempo

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

TIBCO

Company Location

United States

Company Website

www.tibco.com/products/streaming

Company Facts

Organization Name

SAS Institute

Company Location

United States

Company Website

support.sas.com/en/software/analytics-for-iot-support.html

Categories and Features

Streaming Analytics

Not specified

Categories and Features

IoT

Big Data Analytics
Data Collection
Data Management
Visualization

IoT Analytics

Not specified

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