Audience

Companies and enterprises seeking a data fabric solution designed to unlock data faster

About IBM Cloud Pak for Data

The biggest challenge to scaling AI-powered decision-making is unused data. IBM Cloud Pak® for Data is a unified platform that delivers a data fabric to connect and access siloed data on-premises or across multiple clouds without moving it. Simplify access to data by automatically discovering and curating it to deliver actionable knowledge assets to your users, while automating policy enforcement to safeguard use. Further accelerate insights with an integrated modern cloud data warehouse. Universally safeguard data usage with privacy and usage policy enforcement across all data. Use a modern, high-performance cloud data warehouse to achieve faster insights. Empower data scientists, developers and analysts with an integrated experience to build, deploy and manage trustworthy AI models on any cloud. Supercharge analytics with Netezza, a high-performance data warehouse.

Pricing

Starting Price:
$699 per month

Integrations

Ratings/Reviews

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Company Information

IBM
Founded: 1911
United States
www.ibm.com/products/cloud-pak-for-data

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
On-Premises
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
24/7 Live Support
Online

IBM Cloud Pak for Data Frequently Asked Questions

Q: What kinds of users and organization types does IBM Cloud Pak for Data work with?
Q: What languages does IBM Cloud Pak for Data support in their product?
Q: What kind of support options does IBM Cloud Pak for Data offer?
Q: What other applications or services does IBM Cloud Pak for Data integrate with?
Q: What type of training does IBM Cloud Pak for Data provide?
Q: How much does IBM Cloud Pak for Data cost?

IBM Cloud Pak for Data Product Features

Big Data

Templates Not Supported
Data Visualization Not Supported
Collaboration Not Supported
Data Blends Not Supported
Data Cleansing Not Supported
Data Warehousing Not Supported
High Volume Processing Not Supported
Data Mining Not Supported
No-Code Sandbox Not Supported
Predictive Analytics Not Supported

Data Fabric

Data Networking / Connecting Not Supported
Data Collaboration Not Supported
Data Analytics Not Supported
Persistent Data Management Not Supported
No Data Redundancy Not Supported
Data Access Management Not Supported
Metadata Functionality Not Supported
Data Lineage Tools Not Supported

Data Science

Data Ingestion Not Supported
Data Preparation Not Supported
Data Visualization Not Supported
Data Discovery Not Supported
Advanced Modeling Not Supported
Model Deployment Not Supported
Access Control Not Supported
Audit Logs Not Supported
Reports Not Supported

Machine Learning

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Not Supported
Templates Not Supported
Visualization Not Supported
Statistical / Mathematical Tools Not Supported

Predictive Analytics

For Education Not Supported
For Healthcare Not Supported
Modeling & Simulation Not Supported
Data Blending Not Supported
Demand Forecasting Not Supported
Sentiment Analysis Not Supported
Data Mining Not Supported
AI / Machine Learning Not Supported
Benchmarking Not Supported