What is Gemini Data?

Traditional analytics tools frequently display data in a rigid, tabular format, which may fail to capture the complex relationships within the data. Gemini Data addresses this issue by integrating diverse data sources, allowing organizations to transform their information into engaging narratives. With the introduction of Gemini Explore, users can significantly change their data analysis methods by interacting with data through intuitive and contextual storytelling techniques. This approach is designed to simplify processes, thereby improving visibility, understanding, and communication of intricate ideas, which in turn leads to faster learning and enhanced job performance. Furthermore, Gemini Stream streamlines the collection, condensation, transformation, parsing, and distribution of machine data across multiple prominent Big Data platforms via a single interface. On another front, Gemini Central provides a state-of-the-art, ready-to-deploy analytics solution that includes seamless integration and pre-configuration with an efficient operating system, along with vital management tools and applications. This comprehensive suite of tools not only bolsters organizational efficiency but also significantly enhances decision-making processes, making data-driven insights more accessible and actionable. By leveraging these advanced solutions, businesses can better navigate the complexities of their data landscapes and gain a competitive edge.

Integrations

No integrations listed.

Screenshots and Video

Gemini Data Screenshot 1

Company Facts

Company Name:
Gemini Data
Date Founded:
2015
Company Location:
United States
Company Website:
www.geminidata.com

Product Details

Deployment
SaaS
Training Options
Online Training
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Gemini Data Categories and Features

ETL Software

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Data Visualization Software

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

Data Management Software

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge