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What is ZinkML?

ZinkML serves as an open-source platform for data science that eliminates the need for coding, enabling organizations to utilize their data more effectively. Its user-friendly and visual interface is tailored to ensure that individuals without extensive programming knowledge can engage with data science, thus broadening accessibility. The platform simplifies the entire data science workflow, covering everything from data ingestion to model building, deployment, and monitoring. Users can easily create intricate pipelines by dragging and dropping components, visualize their data, or develop predictive models—all without any coding skills. With features like automated model selection, feature engineering, and hyperparameter optimization, ZinkML significantly speeds up the model development process. Furthermore, ZinkML fosters collaborative efforts by providing tools that enable teams to work together seamlessly on their data science initiatives. By making data science more accessible, ZinkML empowers organizations to derive greater value from their data and enhance their decision-making capabilities, ultimately leading to improved business outcomes. This shift towards democratized data science is crucial in a world where data-driven decisions are becoming increasingly vital.

What is Oracle SQL Developer Data Modeler?

Oracle SQL Developer Data Modeler is a free graphical application that enhances productivity and simplifies data modeling tasks. This tool allows users to easily create, view, and adjust a range of models, such as logical, relational, physical, multi-dimensional, and data type models. It also supports both forward and reverse engineering processes, promoting collaboration with its integrated source code management features. Its flexibility enables deployment in both traditional and cloud environments. As a key component of the Oracle Database Tools suite, Oracle SQL Developer Data Modeler is recognized as a robust, standalone product that offers an extensive selection of data and database modeling resources. Moreover, users can access additional materials, including a general FAQ, on the Data Modeler homepage. This document seeks to provide clarity on various pricing-related questions that have surfaced in the community, offering valuable information to assist users in addressing these concerns effectively. By equipping users with this knowledge, the document aims to empower them in making informed decisions regarding their data modeling needs.

Media

No images available

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Oracle Database
Oracle SQL Developer

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Oracle Database
Oracle SQL Developer

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

ZinkML Technologies

Date Founded

2023

Company Location

India

Company Website

zinkml.com

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/in/database/technologies/appdev/datamodeler.html

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Categories and Features

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