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What is SOMA?

Industry 4.0, Big Data, and the Internet of Things encompass a wide range of ideas related to smart, interconnected manufacturing. Softgate has launched SOMA, an advanced software solution that allows for the efficient capture, visualization, and analysis of data from production machines. The possibilities for data sources and applications are nearly limitless, as any machine capable of producing data—whether natively or through added sensors—can easily connect to SOMA. This functionality highlights the core concept behind these trending terms: the fusion of machinery with powerful IT systems. By utilizing the insights derived from the collected data, these IT platforms can uncover trends that inform predictions about equipment maintenance, product standards, and energy consumption. SOMA’s modular hardware design ensures seamless integration, applicable to both individual machines and large arrays. Moreover, a centralized data repository supports customized comparisons and assessments, which significantly enhances decision-making for both standalone machines and collections. This comprehensive strategy not only optimizes operational efficiency but also equips manufacturers with the tools needed to refine their processes and achieve greater productivity. Ultimately, SOMA represents a significant step forward in the evolution of manufacturing technology.

What is IBM Analytics Engine?

IBM Analytics Engine presents an innovative structure for Hadoop clusters by distinctively separating the compute and storage functionalities. Instead of depending on a static cluster where nodes perform both roles, this engine allows users to tap into an object storage layer, like IBM Cloud Object Storage, while also enabling the on-demand creation of computing clusters. This separation significantly improves the flexibility, scalability, and maintenance of platforms designed for big data analytics. Built upon a framework that adheres to ODPi standards and featuring advanced data science tools, it effortlessly integrates with the broader Apache Hadoop and Apache Spark ecosystems. Users can customize clusters to meet their specific application requirements, choosing the appropriate software package, its version, and the size of the cluster. They also have the flexibility to use the clusters for the duration necessary and can shut them down right after completing their tasks. Furthermore, users can enhance these clusters with third-party analytics libraries and packages, and utilize IBM Cloud services, including machine learning capabilities, to optimize their workload deployment. This method not only fosters a more agile approach to data processing but also ensures that resources are allocated efficiently, allowing for rapid adjustments in response to changing analytical needs.

Media

Media

Integrations Supported

Acquia CDP
Apache Spark
Galileo
Hadoop
IBM Cloud Object Storage
MINT
RadiantOne
Switch Automation
ZARUS

Integrations Supported

Acquia CDP
Apache Spark
Galileo
Hadoop
IBM Cloud Object Storage
MINT
RadiantOne
Switch Automation
ZARUS

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.014 per hour
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

Softgate

Company Location

Germany

Company Website

www.soft-gate.de/en/digitalisierung-von-produktionsmaschinen/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/analytics-engine

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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