Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Data Warehouse Studio empowers software architects, data modelers, and business analysts to play a direct role in the successful execution of data warehouse and business intelligence initiatives. Through its user-friendly graphical interface, these professionals can articulate business rules, data mappings, preferred coding standards, and various design components. Once these key requirements and technical specifications are input into the central repository of Data Warehouse Studio, the platform autonomously produces 99-100% of the necessary SQL and ETL code, thereby removing the necessity for manual coding. In fact, for the majority of projects, Data Warehouse Studio entirely eradicates the requirement for hand-coding SQL or ETL processes. As a design-time technology, Data Warehouse Studio offers a unified platform that facilitates all participants in the project to efficiently document requirements and technical specifications. This collaborative feature enhances communication among team members, streamlining the overall development process.
Description
AI teams encounter obstacles that necessitate the development of innovative technologies, which we specialize in creating. Traditional data warehouses and lakes struggle to accommodate unstructured data types such as text, images, and videos. Our approach integrates AI with software development, specifically designed for data scientists, machine learning engineers, and data engineers alike. Instead of reinventing existing solutions, we provide a swift and cost-effective route to bring your projects into production. Your data remains securely stored under your control, and model training occurs on your own infrastructure. By addressing the limitations of current data handling methods, we ensure that AI teams can effectively meet their challenges. Our Studio functions as an extension of platforms like GitHub, GitLab, or BitBucket, allowing seamless integration. You can choose to sign up for our online SaaS version or reach out for an on-premise installation tailored to your needs. This flexibility allows organizations of all sizes to adopt our solutions effectively.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Bitbucket
No
Git
No
GitHub
No
GitLab
No
Google Cloud Platform
No
Kubernetes
No
Microsoft Azure
No
Integrations
Amazon Web Services (AWS)
Yes
Bitbucket
Yes
Git
Yes
GitHub
Yes
GitLab
Yes
Google Cloud Platform
Yes
Kubernetes
Yes
Microsoft Azure
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
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)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Gamma Systems
Founded
2001
Country
United States
Website
www.gamma-sys.com/products/gamma-data-warehouse-studio/
Vendor Details
Company Name
Iterative
Founded
2018
Country
United States
Website
iterative.ai/
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
Yes
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Integration
Dashboard
No
ETL - Extract / Transform / Load
Yes
Metadata Management
Yes
Multiple Data Sources
No
Web Services
No
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No