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.

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Pricing

Starting Price:
$699 per month

Integrations

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Ratings/Reviews

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features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Company Information

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

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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?
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Q: How much does IBM Cloud Pak for Data cost?

IBM Cloud Pak for Data Product Features

Big Data

Templates
Data Visualization
Collaboration
Data Blends
Data Cleansing
Data Warehousing
High Volume Processing
Data Mining
No-Code Sandbox
Predictive Analytics

Data Fabric

Data Networking / Connecting
Data Collaboration
Data Analytics
Persistent Data Management
No Data Redundancy
Data Access Management
Metadata Functionality
Data Lineage Tools

Data Science

Data Ingestion
Data Preparation
Data Visualization
Data Discovery
Advanced Modeling
Model Deployment
Access Control
Audit Logs
Reports

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates
Visualization
Statistical / Mathematical Tools

Predictive Analytics

For Education
For Healthcare
Modeling & Simulation
Data Blending
Demand Forecasting
Sentiment Analysis
Data Mining
AI / Machine Learning
Benchmarking