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What is IBM Streams?

IBM Streams processes a wide range of streaming information, encompassing unstructured text, video, audio, geospatial data, and sensor inputs, which allows organizations to discover opportunities and reduce risks while making prompt decisions. Utilizing IBM® Streams, users can convert swiftly evolving data into valuable insights. This platform assesses different types of streaming data, equipping organizations to detect trends and threats as they emerge. When combined with the other features of IBM Cloud Pak® for Data, which is built on a versatile and open framework, it boosts collaboration among data scientists in crafting models suitable for stream flows. Additionally, it enables the real-time evaluation of extensive datasets, making it easier than ever to extract actionable value from your data. These capabilities empower organizations to fully leverage their data streams, leading to enhanced outcomes and strategic advantages in their operations. As a result, organizations can optimize their decision-making processes and drive innovation across various sectors.

What is Amadea?

Amadea technology leverages the fastest real-time calculation and modeling engine currently available, allowing for the swift creation, deployment, and automation of analytics projects on a cohesive platform. Ensuring high data quality is crucial for the success of any analytical initiative, and with the leading ISoft real-time calculation engine, Amadea empowers organizations to manage and utilize extensive and complex datasets instantly, regardless of their size. Acknowledging that successful analytical projects necessitate the active engagement of business users at every stage, ISoft was developed with this understanding at the forefront. Amadea features a user-friendly no-code interface that encourages involvement from all project stakeholders. The unmatched speed of Amadea's real-time calculation engine allows for the concurrent specification, prototyping, and development of data applications, optimizing overall efficiency. With the impressive ability to process up to 10 million lines per second per core for standard calculations, Amadea emerges as a formidable solution for data-driven organizations, ensuring that valuable insights can be accessed quickly and effectively. As a result, this cutting-edge technology not only enhances decision-making capabilities but also positions businesses to excel in a world increasingly dominated by data.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache Hive
Cloudera Data Platform
Google Cloud Platform
Microsoft Azure
Oracle Cloud Infrastructure
SAP BusinessObjects Business Intelligence
Tableau

Integrations Supported

Amazon Web Services (AWS)
Apache Hive
Cloudera Data Platform
Google Cloud Platform
Microsoft Azure
Oracle Cloud Infrastructure
SAP BusinessObjects Business Intelligence
Tableau

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/streaming-analytics

Company Facts

Organization Name

ISoft

Company Location

France

Company Website

isoft.fr/en/amadea-platform/

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Streaming Analytics

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

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

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