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What is qikkDB?

QikkDB is a cutting-edge, GPU-accelerated columnar database that specializes in intricate polygon calculations and extensive data analytics. For those handling massive datasets and in need of real-time insights, QikkDB stands out as an ideal choice. Its compatibility with both Windows and Linux platforms offers developers great flexibility. The project utilizes Google Tests as its testing framework, showcasing hundreds of unit tests as well as numerous integration tests to ensure high quality standards. Windows developers are recommended to work with Microsoft Visual Studio 2019, and they should also have key dependencies installed, such as at least CUDA version 10.2, CMake 3.15 or later, vcpkg, and Boost libraries. Similarly, Linux developers must ensure they have a minimum of CUDA version 10.2, CMake 3.15 or newer, along with Boost for the best performance. This software is made available under the Apache License, Version 2.0, which permits extensive usage. To streamline the installation experience, users can choose between an installation script or a Dockerfile, facilitating a smooth setup of QikkDB. This adaptability not only enhances user experience but also broadens its appeal across diverse development settings. Ultimately, QikkDB represents a powerful solution for those looking to leverage advanced database capabilities.

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compatibility, enabling users to run their existing R scripts on the latest versions, provided they avoid relying on outdated packages or unsupported platforms, as well as known issues requiring workarounds or code changes.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.

Media

Media

Integrations Supported

AWS Marketplace
Azure HDInsight
DataClarity Unlimited Analytics
Delinea Cloud Access Controller
Juniper Identity Management Service
KeyTalk
Microsoft Power Platform
ODK
ScanMail

Integrations Supported

AWS Marketplace
Azure HDInsight
DataClarity Unlimited Analytics
Delinea Cloud Access Controller
Juniper Identity Management Service
KeyTalk
Microsoft Power Platform
ODK
ScanMail

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

qikkDB

Company Website

github.com/qikkDB

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

mran.microsoft.com/rro

Categories and Features

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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