ML Platforms

DataCanvas

DataCanvas helps you understand and visualize your data easily.

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DataCanvas screenshot

Overview

DataCanvas also emphasizes collaboration, enabling team members to share insights and work together on data projects. Its features support real-time teamwork, which is essential in today's fast-paced business environment. Overall, DataCanvas stands out as a versatile solution for any data-driven organization.

Key features

Easy Data Import

Users can import data from multiple sources, such as spreadsheets, databases, and cloud services.

Drag-and-Drop Interface

The intuitive interface allows users to visualize data quickly without any programming skills.

Real-Time Collaboration

Teams can work together on data projects, sharing insights and updates in real-time.

Customizable Dashboards

Users can create personalized dashboards to display the most relevant data at a glance.

Built-in Analytics Tools

DataCanvas includes tools for analyzing data trends and generating reports.

Comprehensive Documentation

A resource-rich help section guides users through every feature and function.

Data Security

Strong security measures protect user data, ensuring confidentiality and safety.

Cross-Platform Support

DataCanvas can be accessed from various devices, making it convenient for users on the go.

Pros & Cons

Pros

  • User-Friendly
  • Flexible Data Sources
  • Strong Collaboration Features
  • Robust Analytics
  • Customizable

Cons

  • Limited Free Version
  • Learning Curve
  • Performance Issues
  • Customer Support
  • Integration Issues

Rating Distribution

5
9 (90.0%)
4
1 (10.0%)
3
0 (0.0%)
2
0 (0.0%)
1
0 (0.0%)

Screenshots

4.8
Based on 10 reviews
sanfiya p.Research Executive IIMid-Market(51-1000 emp.)
January 27, 2023

Efficient tool to process data in Real-Time

What do you like best about DataCanvas?

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.

What do you dislike about DataCanvas?

Nothing to dislike so far - DataCanvas can be further improved to provide weekly, monthly and yearly basis analytics to any specific projects that runs for lifetime.

What problems is DataCanvas solving and how is that benefiting you?

We do analytics on daily basis. DataCanvas play a critical role on it. The research project we conducted to analyse the recent trends in the talent market across various locations helped us to figure out most beneficial insights using DataCanvas. We gathered data from various sources. For instance, the population of specific location from various government portals, graduate data from various university websites, and the current location and designation of the talent from their public professional platforms. So, that the data are uneven and of different formats. The data analytics features in this tool helped us to process these data and gain evident insights. We can aslo be able to visualise this data and process these data in Real-time. The insights helps us to get the clear view of talent market and the possible growth of domains across various locations.

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佳豪 .researcherMid-Market(51-1000 emp.)
June 12, 2022

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

What do you like best about DataCanvas?

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 appl...

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Zhenni W.Marketing SpecialistEnterprise(> 1000 emp.)
December 3, 2021

As a data science platform, DataCanvas is much easier to use than expected

What do you like best about DataCanvas?

Basically, there is no threshold limit for users. Second, it can realize end-to-end model construction. Third, it can also carry out the whole life cycle of the model.

What do you dislike about DataCanvas?

Although it supports three different modeling methods...

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Anonymous ReviewerEnterprise(> 1000 emp.)
November 24, 2021

It made data analytics easier and faster

What do you like best about DataCanvas?

The most useful function of DataCanvas is the AutoModeling part. Our operation team can use its built-in models to analyze industry data, customer data, etc., to support business decision-making more efficiently. The second reason that we chose it is that Dat...

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Yanxia L.Enterprise(> 1000 emp.)
July 11, 2022

Recommend DataCanvas as a great data science platform company.

What do you like best about DataCanvas?

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 b...

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Company Information

LocationN/A
Founded2014
Employees2
LinkedInView Profile

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FAQ

Here are some frequently asked questions about DataCanvas.

DataCanvas is a data management tool that helps users analyze and visualize data easily.

You can import data from spreadsheets, databases, and several cloud services through a user-friendly process.

Yes, DataCanvas allows real-time collaboration, making it easy for team members to share insights and work together.

Yes, DataCanvas offers a free version, but it has limited features compared to the paid plans.

DataCanvas provides built-in analytics tools that help users analyze trends and generate reports.

DataCanvas employs strong security measures to protect user data, ensuring confidentiality.

Absolutely! Users can create personalized dashboards that display their most important data.

Yes, DataCanvas supports cross-platform access, allowing you to use it on various devices.