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What is data.world?

data.world is a cloud-based platform meticulously crafted for modern data ecosystems, facilitating effortless management of updates, migrations, and ongoing maintenance. The straightforward setup process is enhanced by a growing array of pre-built integrations compatible with all leading cloud data warehouses. When quick results are paramount, teams should focus on tackling real business issues instead of wrestling with complicated data management tools. data.world streamlines the experience for all users, not just data specialists, equipping them to obtain clear, accurate, and timely responses to a wide range of business questions. Our platform boasts a cloud-native data catalog that links disparate and distributed data to familiar business concepts, creating an accessible, cohesive knowledge base for everyone. Additionally, in addition to our enterprise offerings, data.world nurtures the largest collaborative open data community worldwide, where participants work together on various projects, including social bot detection and prestigious data journalism endeavors, fostering innovation and collective learning. This vibrant environment not only promotes knowledge sharing but also empowers users to harness data in inventive and meaningful ways, ultimately driving impactful solutions across different sectors.

What is IBM Cloud Pak for Data?

A significant challenge in enhancing AI-fueled decision-making is the insufficient use of available data. IBM Cloud Pak® for Data offers an integrated platform featuring a data fabric that facilitates easy connection and access to disparate data, regardless of whether it is stored on-premises or in multiple cloud settings, all without the need to move the data. It optimizes data accessibility by automatically detecting and categorizing data to deliver useful knowledge assets to users, while also enforcing automated policies to ensure secure data utilization. To accelerate insight generation, this platform includes a state-of-the-art cloud data warehouse that integrates seamlessly with current systems. Additionally, it enforces universal data privacy and usage policies across all data sets, ensuring ongoing compliance. By utilizing a high-performance cloud data warehouse, businesses can achieve insights more swiftly. The platform also provides data scientists, developers, and analysts with an all-encompassing interface to build, deploy, and manage dependable AI models across various cloud infrastructures. Furthermore, you can enhance your analytical capabilities with Netezza, which is a powerful data warehouse optimized for performance and efficiency. This holistic strategy not only expedites decision-making processes but also encourages innovation across diverse industries, ultimately leading to more effective solutions and improved outcomes.

Media

Media

Integrations Supported

Adobe Marketo Engage
Amazon Athena
Amazon Redshift
Amazon Web Services (AWS)
Box
DataOps.live
Facebook Ads
Google Ads
HubSpot Marketing Hub
Meta Ads
Oracle Database
PoolParty
PostgreSQL
Snowflake Cortex AI
infoveave
sensedata

Integrations Supported

Datamatics Trade Finance
IBM Control Desk
IBM InfoSphere Information Governance Catalog
IBM WebSphere Commerce

API Availability

Has API

API Availability

Pricing Information

$12 per month
Free Version

Pricing Information

$699 per month

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

data.world

Company Location

United States

Company Website

data.world/resources/product-overview/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/cloud-pak-for-data

Categories and Features

Data Fabric

Not specified

Data Virtualization

Not specified

Graph Databases

Not specified

Metadata Management

Not specified

Categories and Features

AI Governance

Not specified

Big Data

Not specified

Data Fabric

Not specified

Data Integration

Not specified

Data Science

Not specified

Data Virtualization

Not specified

Machine Learning

Not specified

Predictive Analytics

Not specified

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