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Description

DataV is a comprehensive analytics and visualization platform that helps organizations turn complex, raw data into clear and actionable insights. It supports both static and dynamic visualizations, enabling teams to understand their data from multiple angles. With advanced data modeling, AI-assisted analytics, and interactive dashboards, DataV simplifies data exploration and improves decision-making across all levels. The platform offers seamless data integration, automated reporting, predictive insights, and strong collaboration features, allowing teams to track performance, identify trends, and respond quickly to business changes. By bringing everything into a single unified interface, DataV empowers organizations to make informed, timely, and strategic decisions with confidence.

Description

ZinkML is an open-source data science platform that does not require any coding. It was designed to help organizations leverage data more effectively. Its visual and intuitive interface eliminates the need for extensive programming expertise, making data sciences accessible to a wider range of users. ZinkML streamlines data science from data ingestion, model building, deployment and monitoring. Users can drag and drop components to create complex pipelines, explore the data visually, or build predictive models, all without writing a line of code. The platform offers automated model selection, feature engineering and hyperparameter optimization, which accelerates the model development process. ZinkML also offers robust collaboration features that allow teams to work seamlessly together on data science projects. By democratizing the data science, we empower businesses to get maximum value out of their data and make better decisions.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon Web Services (AWS) No 
Apache Cassandra Yes 
Apache CouchDB Yes 
CockroachDB Yes 
GitLab Yes 
Google Cloud Platform No 
HROne Yes 
IBM Db2 Yes 
JSON Yes 
MariaDB Yes 
Microsoft Azure No 
MongoDB Atlas Yes 
MySQL Yes 
PostgreSQL Yes 
Redis Yes 
SAP HANA Yes 
Salesforce Yes 
Supabase Yes 

Integrations

Amazon Web Services (AWS) Yes 
Apache Cassandra No 
Apache CouchDB No 
CockroachDB No 
GitLab No 
Google Cloud Platform Yes 
HROne No 
IBM Db2 No 
JSON No 
MariaDB No 
Microsoft Azure Yes 
MongoDB Atlas No 
MySQL No 
PostgreSQL No 
Redis No 
SAP HANA No 
Salesforce No 
Supabase No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Skillmine Technology Consulting Pvt Ltd

Founded

2011

Country

India

Website

skill-mine.com

Vendor Details

Company Name

ZinkML Technologies

Founded

2023

Country

India

Website

zinkml.com

Product Features

Data Analysis

Data Discovery Yes 
Data Visualization Yes 
High Volume Processing Yes 
Predictive Analytics Yes 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Visualization

Analytics Yes 
Content Management Yes 
Dashboard Creation Yes 
Filtered Views Yes 
OLAP Yes 
Relational Display No 
Simulation Models No 
Visual Discovery Yes 

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Cleansing

Address/ZIP Code Cleaning No 
Charting No 
Data Consolidation / ETL No 
Data Mapping No 
Multi Data Format Support No 
Phone/Email Validation No 
Raw Data Ingestion No 
Sample Testing No 
Validation / Matching / Reconciliation No 

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

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