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What is Datumize Zentral?

To successfully adapt to changing environments, organizations need to demonstrate flexibility and agility in their data strategies while also upholding strong data governance standards. Datumize Zentral (DZ) acts as a holistic self-service management platform that facilitates the creation, configuration, testing, deployment, and oversight of data pipelines, agents, and third-party integrations. Its user-friendly interface and API are designed to meet the diverse needs of both clients and partners. Additionally, DZ offers versatile hosting options, enabling deployment on Datumize Cloud, various other cloud services, or even on-premises servers. This adaptability allows businesses to customize their data solutions to align with their unique operational demands, ultimately enhancing their overall efficiency and effectiveness. Moreover, the platform’s comprehensive features empower organizations to optimize their data management processes seamlessly.

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

Integrations Supported

Acceldata
Apache Knox
Azquo
CYRES
Cazena
DataBuck
Decision Moments
FNA
IBM Cognos Analytics
IRI Voracity
Mage Sensitive Data Discovery
Mage Static Data Masking
Progress DataDirect
Querona
Scuba Database Vulnerability Scanner
Talend Data Catalog
Unravel
Value Innovation Labs Marketing Automation Platform
Velotix
doolytic

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard 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

Datumize

Date Founded

2014

Company Location

Spain

Company Website

www.datumize.com

Company Facts

Organization Name

Cloudera

Date Founded

2008

Company Location

United States

Company Website

www.cloudera.com

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Quality Control
Information Governance
Master Data Management
Match & Merge

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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