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What is MindSpore?

MindSpore, an open-source deep learning framework developed by Huawei, is designed to streamline the development process, optimize execution, and support deployment in various environments such as cloud, edge, and on-device platforms. This framework supports multiple programming paradigms, including both object-oriented and functional programming, allowing developers to create AI networks with standard Python syntax easily. By integrating dynamic and static graphs, MindSpore ensures a seamless programming experience while enhancing compatibility and performance. It is specifically optimized for a variety of hardware platforms, including CPUs, GPUs, and NPUs, and shows remarkable compatibility with Huawei's Ascend AI processors. The architecture of MindSpore is structured into four key layers: the model layer, MindExpression (ME) for AI model development, MindCompiler for optimization processes, and a runtime layer that enables interaction among devices, edge, and cloud. In addition, MindSpore is supported by a rich ecosystem of specialized toolkits and extension packages, such as MindSpore NLP, making it an adaptable choice for developers aiming to exploit its features in numerous AI applications. This wide-ranging functionality, combined with its robust architecture, positions MindSpore as an attractive option for professionals engaged in advanced machine learning initiatives, ensuring they can tackle complex challenges effectively. The continuous development of its ecosystem further enhances the framework's appeal, making it a compelling choice for innovative projects.

What is Kraken?

Kraken is tailored to meet the needs of a wide range of users, from analysts to data scientists. This intuitive, no-code automated machine learning platform simplifies the intricate world of data science. By streamlining critical processes such as data preparation, cleaning, algorithm selection, model training, and deployment, Kraken makes these tasks accessible to individuals across various skill levels. Analysts and engineers will particularly appreciate how their existing data analysis skills allow them to quickly adapt to using Kraken. The platform features a user-friendly interface and integrated SONAR© training, which enables users to transition into citizen data scientists with ease. For experienced data scientists, Kraken provides advanced functionalities that boost both speed and workflow efficiency. Whether your work involves Excel, flat files, or requires on-the-fly analyses, the easy drag-and-drop CSV upload and Amazon S3 integration make building models a breeze. Furthermore, Kraken’s Data Connectors allow for smooth integration with your favorite data warehouses, business intelligence platforms, and cloud storage services, creating a holistic data science environment. With Kraken, users of all experience levels can effortlessly tap into the capabilities of machine learning, fostering a collaborative and innovative atmosphere for all.

Media

Media

Integrations Supported

Amazon S3
Ascend Cloud Service
Coast
Docker
Domo
Google Cloud BigQuery
Huawei Cloud
Huawei Cloud ModelArts
Kryptos
Looker
MySQL
Pulsar Finance
Python
Qlik Sense
SQL Server
SimpleSwap
Snowflake
Tableau

Integrations Supported

Amazon S3
Ascend Cloud Service
Coast
Docker
Domo
Google Cloud BigQuery
Huawei Cloud
Huawei Cloud ModelArts
Kryptos
Looker
MySQL
Pulsar Finance
Python
Qlik Sense
SQL Server
SimpleSwap
Snowflake
Tableau

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$100 per month
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

MindSpore

Date Founded

2019

Company Location

China

Company Website

www.mindspore.cn/

Company Facts

Organization Name

Big Squid

Date Founded

2009

Company Location

United States

Company Website

www.bigsquid.com/kraken-platform

Categories and Features

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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