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What is Microsoft R Open?

Microsoft is making significant strides in enhancing its R-related products, as illustrated by the recent launch of Machine Learning Server and the updated versions of Microsoft R Client and Microsoft R Open. Additionally, integration of R and Python is now accessible within SQL Server Machine Learning Services for both Windows and Linux, along with R support in Azure SQL Database. The R components are designed to maintain backward compatibility, enabling users to run their existing R scripts on the latest versions, provided they avoid relying on outdated packages or unsupported platforms, as well as known issues requiring workarounds or code changes. Microsoft R Open is the improved iteration of R offered by Microsoft Corporation, with its latest version, Microsoft R Open 4.0.2, based on R-4.0.2, which introduces enhanced capabilities for performance, reproducibility, and compatibility across various platforms. This update guarantees that all packages, scripts, and applications developed on R-4.0.2 remain compatible, making it a dependable choice for developers and data scientists. In summary, Microsoft's commitment to R not only supports its user base but also stimulates ongoing enhancements and innovations within the ecosystem. As a result, users can expect a more robust experience when utilizing R in their projects and analyses.

What is IBM Analytics for Apache Spark?

IBM Analytics for Apache Spark presents a flexible and integrated Spark service that empowers data scientists to address ambitious and intricate questions while speeding up the realization of business objectives. This accessible, always-on managed service eliminates the need for long-term commitments or associated risks, making immediate exploration possible. Experience the benefits of Apache Spark without the concerns of vendor lock-in, backed by IBM's commitment to open-source solutions and vast enterprise expertise. With integrated Notebooks acting as a bridge, the coding and analytical process becomes streamlined, allowing you to concentrate more on achieving results and encouraging innovation. Furthermore, this managed Apache Spark service simplifies access to advanced machine learning libraries, mitigating the difficulties, time constraints, and risks that often come with independently overseeing a Spark cluster. Consequently, teams can focus on their analytical targets and significantly boost their productivity, ultimately driving better decision-making and strategic growth.

Media

Media

Integrations Supported

Apache Spark
Azure HDInsight
DataClarity Unlimited Analytics
Delinea Cloud Access Controller
Juniper Identity Management Service
KeyTalk
Microsoft Power Platform
ODK
RadiantOne
ScanMail
Switch Automation

Integrations Supported

Apache Spark
Azure HDInsight
DataClarity Unlimited Analytics
Delinea Cloud Access Controller
Juniper Identity Management Service
KeyTalk
Microsoft Power Platform
ODK
RadiantOne
ScanMail
Switch Automation

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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

mran.microsoft.com/rro

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/analytics/ca/en/technology/cloud-data-services/spark-as-a-service/

Categories and Features

Data Science

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

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Science

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

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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