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What is IBM Watson Knowledge Catalog?

Facilitate effective data utilization for AI and analytics in a business-centric way through intelligent cataloging, reinforced by proactive governance of metadata and policies. The IBM Watson® Knowledge Catalog emerges as an essential resource for uncovering data, models, and additional assets, significantly improving the self-service exploration experience. Functioning as a cloud-based storage solution for enterprise metadata, it enables the activation of information for applications in AI, machine learning (ML), and deep learning. Users can conveniently access, curate, categorize, and share data and knowledge assets, along with their interrelations, from any location. By effectively organizing, defining, and managing enterprise data, organizations can guarantee that they possess the necessary context to create value for diverse purposes, including meeting regulatory requirements and pursuing data monetization initiatives. Moreover, it maintains data integrity, monitors compliance and audit readiness, and builds client trust through diligent policy management and the adaptive masking of sensitive information. Featuring intuitive dashboards and workflows that can be easily shared with team members or integrated with analytical tools, businesses can efficiently consume and transform data to align with their operational needs. By harnessing these capabilities, organizations can significantly elevate their decision-making processes and foster innovation throughout their operations. Ultimately, this comprehensive approach not only streamlines data management but also empowers teams to respond agilely to market changes.

What is Cloudera?

Manage and safeguard the complete data lifecycle from the Edge to AI across any cloud infrastructure or data center. It operates flawlessly within all major public cloud platforms and private clouds, creating a cohesive public cloud experience for all users. By integrating data management and analytical functions throughout the data lifecycle, it allows for data accessibility from virtually anywhere. It guarantees the enforcement of security protocols, adherence to regulatory standards, migration plans, and metadata oversight in all environments. Prioritizing open-source solutions, flexible integrations, and compatibility with diverse data storage and processing systems, it significantly improves the accessibility of self-service analytics. This facilitates users' ability to perform integrated, multifunctional analytics on well-governed and secure business data, ensuring a uniform experience across on-premises, hybrid, and multi-cloud environments. Users can take advantage of standardized data security, governance frameworks, lineage tracking, and control mechanisms, all while providing the comprehensive and user-centric cloud analytics solutions that business professionals require, effectively minimizing dependence on unauthorized IT alternatives. Furthermore, these features cultivate a collaborative space where data-driven decision-making becomes more streamlined and efficient, ultimately enhancing organizational productivity.

Media

Media

Integrations Supported

Alteryx
App Orchid
BigBI
CYRES
Capgemini Intelligent Automation Platform
Cleo Integration Cloud
Cloudera Data Platform
Datalytics
IRI DMaaS
Mindfuel
Ndustrial Contxt
Precisely Connect
Progress DataDirect
Qlik Data Integration
Securonix Unified Defense SIEM
TCS ADD
Velotix
witboost

API Availability

API Availability

Pricing Information

$300 per instance
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/watson-knowledge-catalog

Company Facts

Organization Name

Cloudera

Date Founded

2008

Company Location

United States

Company Website

www.cloudera.com

Categories and Features

Data Catalog

Not specified

Metadata Management

Not specified

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
Predictive Analytics

Business Intelligence

Data Analysis
Predictive Analytics

Data Catalog

Not specified

Data Lake

Not specified

Data Management

Not specified

Data Science

Not specified

Data Warehouse

Not specified

Key-Value Databases

Not specified

Machine Learning

Not specified

Metadata Management

Not specified

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