Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DeepCell is an online platform that facilitates the creation of interconnected spreadsheets, reports, and presentations, all while ensuring that assumptions, evidence, and calculations are easily traceable. Users have the option to begin with a specific task or utilize existing projects, allowing them to systematically arrange model values alongside supporting documentation while maintaining connections between tables, written insights, slides, and explanatory notes, ensuring seamless updates throughout the document. Notable features include auditing capabilities, automatic recalculation, a comprehensive version history, and commands that allow for querying and modifying structured models. Access to DeepCell is provided through a web interface, a command-line tool, an MCP server compatible with certain AI agents, and an Excel add-in that enables the opening and synchronization of .deepcell files. The platform offers a free tier for individual and agent power users, while enterprise options come complete with enhanced security measures and choices for private-cloud or on-premises deployment. Designed for individuals, teams, and organizations, the product is particularly useful for those engaged in data-driven analyses that require verifiable conclusions, making it an invaluable tool in today’s data-centric world. Additionally, DeepCell's collaborative features promote teamwork, allowing multiple users to efficiently contribute to and refine their analyses.
Description
Fully compatible with Netezza, this solution offers a streamlined command-line upgrade option. It can be deployed on-premises, in the cloud, or through a hybrid model. The IBM® Netezza® Performance Server for IBM Cloud Pak® for Data serves as a sophisticated platform for data warehousing and analytics, catering to both on-premises and cloud environments. With significant improvements in in-database analytics functions, this next-generation Netezza empowers users to engage in data science and machine learning with datasets that can reach petabyte levels. It includes features for detecting failures and ensuring rapid recovery, making it robust for enterprise use. Users can upgrade existing systems using a single command-line interface. The platform allows for querying multiple systems as a cohesive unit. You can select the nearest data center or availability zone, specify the desired compute units and storage capacity, and initiate the setup seamlessly. Furthermore, the IBM® Netezza® Performance Server is accessible on IBM Cloud®, Amazon Web Services (AWS), and Microsoft Azure, and it can also be implemented on a private cloud, all powered by the capabilities of IBM Cloud Pak for Data System. This flexibility enables organizations to tailor the deployment to their specific needs and infrastructure.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
Advanced Query Tool (AQT)
No
Amazon Web Services (AWS)
No
ChatGPT
Yes
Claude
Yes
Claude Duet
Yes
Cloudera Data Platform
No
Coginiti
No
Datametica
No
DbVisualizer
No
IBM Cloud
No
Integrations
Advanced Query Tool (AQT)
Yes
Amazon Web Services (AWS)
Yes
ChatGPT
No
Claude
No
Claude Duet
No
Cloudera Data Platform
Yes
Coginiti
Yes
Datametica
Yes
DbVisualizer
Yes
IBM Cloud
Yes
Pricing Details
$0
The Free plan costs $0 for individuals and agent power users; no account is needed to start, and a free account keeps files beyond 30 days. The Teams plan for teams and studios of 3–50 is marked coming soon. Enterprise pricing is custom and includes SSO, advanced access controls, private-cloud or on-premises deployment, security review, and priority support.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
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
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
DeepCell
Country
Singapore
Website
deepcell.net
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/netezza
Product Features
Product Features
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No