--- title: DataCanvas Reviews meta_title: 'DataCanvas Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 10 reviews by the users' company size, role or industry to find out how DataCanvas works for a business like yours. aggregate_rating: rating_value: 4.8 review_count: 10 scale: '5' date_modified: '2026-07-12' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # DataCanvas Reviews **Vendor:** DataCanvas **Category:** [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) **Average Rating:** 4.8/5.0 **Total Reviews:** 10 ## About DataCanvas Beijing ZetYun Technology Co., Ltd. (DataCanvas) was founded in 2013, focusing on the continuous development and construction of automatic data science platform, focusing on providing a complete set of development platform for data scientists and AI practitioners, and providing comprehensive supporting services for intelligent upgrading and transformation of government and enterprises. DataCanvas is a Chinese company independently researched and developed. Relying on the domestic and overseas leading data science platform, DataCanvas has provided real-time and agile AI capability construction for customers in government, finance, aviation, manufacturing, transportation, education, real estate, Internet and other industries. Through the DataCanvas platform, it can provide automatic machine learning analysis and real-time computing capabilities and help business analysts and data scientists quickly cooperate in development, and realize automatic model creation, management and application support. To create greater value for customer business on cutting-edge technologies and solutions such as technological innovation and artificial intelligence. The company has outstanding data scientists and product R & D team and has front edge industry practice experience in automatic deep machine learning, data modeling, big data analysis and other fields. In 2020, with the original DeepTables open-source project, DataCanvas won the first place in the world in the Kaggle competition among more than 1100 teams including well-known e-commerce companies and search engine companies. Headquartered in Beijing and facing the whole country, it has branches in Shanghai, Shandong and Shenzhen. ## DataCanvas Reviews ### 1. Efficient tool to process data in Real-Time **Rating:** 4.0/5.0 stars **Reviewed by:** sanfiya p. | Research Executive II, Mid-Market (51-1000 emp.) **Reviewed Date:** January 27, 2023 **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. ## DataCanvas Discussions - [What is DataCanvas used for?](https://www.g2.com/discussions/what-is-datacanvas-used-for) - [Before using DataCanvas, what were you using?](https://www.g2.com/discussions/35774-before-using-datacanvas-what-were-you-using) - 1 upvote - [View DataCanvas pricing details and edition comparison](https://www.g2.com/products/datacanvas/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-12+21%3A46%3A59+-0500&secure%5Bsession_id%5D=d7884c15-d3c6-4b10-ba69-705d019c1567&secure%5Btoken%5D=b5d492e925e82eaf51a9fc535f390f0bbb24a07c8d931a0189223d1038b5a833&format=llm_user) ## DataCanvas Features **Additional Functionality** - Tagging - Natural Language Processing - Data Extraction - Multi-Language - Predictive Analytics - Drag & Drop - Speech Recognition - Reporting/Analytics - Data Storage Management - Virtual Personal Assistant (VPA) - AI Copilot - Customer Segmentation - Collaboration Tools - Data Import/Export - Generative AI - For eCommerce - Role-Based Permissions - Customizable Branding - Search/Filter - Monitoring - Document Management - API - Data Visualization - Trend Analysis - Machine Learning - Access Controls/Permissions - Alerts/Escalation - Performance Metrics - Real-Time Data - Third-Party Integrations - Mobile App - Multiple Data Sources - For Sales Teams/Organizations - Sentiment Analysis - Activity Dashboard - Chatbot - Workflow Automation **System** - Data Ingestion & Wrangling - Real-Time Data **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training - Database Support - Multi-Language **Model Development** - Feature Engineering **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Deployment** - Managed Service - Application - Scalability **Additional Functionality** - Customizable Reports - Collaboration Tools - Data Extraction - Semantic Search - Data Storage Management - Ad hoc Reporting - Reporting/Analytics - Predictive Analytics - Activity Dashboard - Access Controls/Permissions - Visual Analytics - Data Mapping - Data Synchronization - Statistical Analysis - Categorization/Grouping - Trend Analysis - Data Profiling - Linked Data Management - Data Visualization - API - Multiple Data Sources - Sentiment Analysis - Search/Filter - Data Import/Export - Data Capture and Transfer - AI Copilot - Monitoring - Data Connectors - Ad hoc Analysis - Text Mining - Reporting & Statistics - Predictive Modeling - Real-Time Analytics - Configurable Workflow - Tagging - Endpoint Management - No-Code - Data Preparation - Auditing - Big Data Analytics - ML Algorithm Library - Data Management - Activity Tracking - Data Security - Workflow Management **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image - Generative AI **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making - Third-Party Integrations ## Top DataCanvas Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,335 reviews) - [Deepnote](https://www.g2.com/products/deepnote/reviews) - 4.5/5.0 (382 reviews) - [Domo](https://www.g2.com/products/domo/reviews) - 4.3/5.0 (1,055 reviews)