Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Cegal Prizm is a flexible solution crafted to facilitate the seamless integration of data from various geo-applications, data sources, and platforms within a Python ecosystem. Its modular structure enables users to merge geo-data sources for sophisticated analysis, visualization, data science workflows, and machine learning applications. This innovation empowers users to tackle challenges that were previously unmanageable with older systems. By incorporating contemporary Python technologies, you can enhance, speed up, and improve standard workflows while creating and securely sharing tailored code, services, and technologies with a user community for their use. Furthermore, it connects effortlessly with the E&P software platform Petrel, OSDU, and various third-party applications and domains, allowing for the access and retrieval of energy data. Data can be transferred smoothly, whether locally or across hybrid and cloud environments, into a unified Python setting to derive greater insights and added value. Additionally, Prizm enables the enhancement of datasets with supplementary application metadata, thereby providing more depth and context to your analytical processes. The ability to customize and share these enriched datasets among users fosters collaboration and innovation within the community.
Description
Simplify your data management with Stagraph, a user-friendly visual platform that merges the capabilities of data-science languages with the ease of Excel. This all-in-one tool eliminates the hassle of transferring data between multiple applications, allowing for seamless data import, wrangling, and visualization in a single environment. Generate actionable insights with just a few clicks, all without the need for coding. Stagraph also offers flexibility, enabling you to export your results for use outside the platform, whether offline or online, in interactive dashboards, reports, or other BI applications and R-based tools. Its interface supports direct connections to essential file formats like Excel, CSV, and DBF, while also allowing for data retrieval from databases through ODBC connections. Furthermore, users can create custom datasets using the built-in spreadsheet, and access virtually any data source with the help of external R packages, making Stagraph a versatile choice for data analysis. With Stagraph, the possibilities for data exploration and utilization are vast, ensuring you have the right tools at your fingertips.
API Access
Has API
No
API Access
Has API
No
Integrations
Petrel
No
Python
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$199 per user per year
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
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Cegal
Founded
2000
Country
Norway
Website
www.cegal.com/en/software/data-science-and-cegal-prizm
Vendor Details
Company Name
Stagraph
Country
Slovakia
Website
stagraph.com
Product Features
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
Oil and Gas
Compliance Management
No
Equipment Management
No
Inventory Management
No
Job Costing
No
Logistics Management
No
Maintenance Management
No
Material Management
No
Project Management
No
Resource Management
No
Scheduling
No
Work Order Management
No
Product Features
Data Visualization
Analytics
Yes
Content Management
No
Dashboard Creation
Yes
Filtered Views
Yes
OLAP
No
Relational Display
No
Simulation Models
Yes
Visual Discovery
Yes