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DataCanvas

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10 reviews
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Average star rating
4.8
Serving customers since
2014
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DataCanvas

10 reviews

Datacanvas data science platform is a complete collaborative development modeling platform for data scientists, data analysts and AI practitioners. It integrates automatic data preparation, three modeling methods, original "Four Repos" and self-developed AutoML, AutoDL and other AI technologies, which are used to provide users with machine learning analysis, real-time computing ability and AI application process model production services. The platform adopts an open architecture, which can absorb the latest technology in time, adopts public standards, and can quickly connect with external systems, thus greatly reducing the construction cost of AI. Datacanvas consists of two product suites that can be deployed separately: Datacanvas APS & Datacanvas RT. Datacanvas APS is a one-stop machine learning platform for data science teams, which helps enterprises quickly build data analysis applications. As a flexible and easy-to-use enterprise data science platform, it integrates data preparation, feature engineering, algorithm implementation, model development, model release, model production management, and can accelerate the process from model exploration to model production landing. Datacanvas RT is a real-time decision center. It supports the access of multiple data streams to real-time processing and analysis, and extends ETL, business model, machine learning, artificial intelligence, etc. to real-time. By means of risk monitoring, precision marketing, real-time early warning, and event analysis, combined with powerful data analysis and processing capabilities, Datacanvas RT provides real-time processing support for various business scenarios of enterprises. It comprehensively considers the business scenarios and technical index requirements of practical application, and provides a continuous, efficient, and reliable data infrastructure for the future big data technology of enterprises.

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DataCanvas Reviews

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sanfiya p.
SP
sanfiya p.
Research Executive II at Draup
01/27/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

Efficient tool to process data in Real-Time

DataCanvas is helpful in Real-time and offline business analytics. The main advantage of using DataCanvas is the User Interface is very smooth and friendly. The Data Scientist with Python knowledge can draw valuable and informative insights from DataCanvas. The modification can be made to the million of rows of data with ease using this tool.
YL
Yanxia L.
07/11/2022
Validated Reviewer
Review source: Organic

Recommend DataCanvas as a great data science platform company.

This company provide flexible, professional enterprise data science platform for end users. To lower the barrier of adopting machine learning, they also develop automl tools and open source this tool. During the past years, they have solid customer base and being broadly recommended by their customers. Founder & CEO of this company is very focused on data science software domain. Their employee are also very professional, dedicated and interesting.
佳豪 .
佳豪 .
06/12/2022
Validated Reviewer
Verified Current User
Review source: Organic

The ceiling of a one-stop data science platform integrating multiple functions

DataCanvas is a versatile, end-to-end machine learning platform for data science teams. As an end-to-end automated modeling platform, DataCanvas APS uses AI technology to deliver efficient, agile responses to business needs, enabling model development and application to align with industry scenarios, and addressing the challenges of generating, managing, and operating multiple business models on a large scale. Provide unified standard automation modeling capabilities and model lifecycle management functions, realize the operator open source to users, enabling enterprise customers to build independent AI capabilities.

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What is DataCanvas?

DataCanvas is a company that specializes in providing artificial intelligence and analytics solutions designed to help organizations leverage their data effectively. The company offers platforms and tools that enable users to build, deploy, and manage AI models and analytical applications. By providing these advanced data-driven solutions, DataCanvas aims to empower businesses to make insightful decisions, optimize operations, and drive innovation. With its commitment to simplifying AI and analytics, DataCanvas serves a variety of industries seeking to enhance their data capabilities.

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Year Founded
2014