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What is Datumize Data Collector?

Data is the cornerstone of all digital transformation initiatives. Many projects face hurdles stemming from the false belief that data quality and availability are inherently assured. However, the reality is that sourcing relevant data can often be a difficult, expensive, and disruptive endeavor. The Datumize Data Collector (DDC) acts as an adaptable and lightweight middleware solution, engineered to extract data from complex, often fleeting, and legacy data sources. This type of data tends to remain underutilized due to a lack of accessible retrieval methods. By empowering organizations to collect data from diverse sources, DDC enhances comprehensive edge computing capabilities and allows for the integration of third-party applications, including AI models, while effortlessly formatting and storing the output as needed. Overall, DDC offers a pragmatic strategy for companies aiming to optimize their digital transformation processes through the effective collection of vital operational and business data. Its ability to connect intricate data landscapes with actionable insights not only assists organizations in making informed decisions but also solidifies its role as an essential asset in today’s increasingly data-centric environment.

What is Data Virtuality?

Unify and streamline your data operations. Transform your data ecosystem into a dynamic force. Data Virtuality serves as an integration platform that ensures immediate access to data, centralizes information, and enforces data governance. The Logical Data Warehouse merges both materialization and virtualization techniques to deliver optimal performance. To achieve high-quality data, effective governance, and swift market readiness, establish a single source of truth by layering virtual components over your current data setup, whether it's hosted on-premises or in the cloud. Data Virtuality provides three distinct modules: Pipes Professional, Pipes Professional, and Logical Data Warehouse, which collectively can reduce development time by as much as 80%. With the ability to access any data in mere seconds and automate workflows through SQL, the platform enhances efficiency. Additionally, Rapid BI Prototyping accelerates your time to market significantly. Consistent, accurate, and complete data relies heavily on maintaining high data quality, while utilizing metadata repositories can enhance your master data management practices. This comprehensive approach ensures your organization remains agile and responsive in a fast-paced data environment.

Media

Media

Integrations Supported

Integrations Supported

Adobe Marketo Engage
Airship
Emarsys
Heroku
HubSpot CRM
HubSpot Customer Platform
HyperSQL DataBase
IBM Informix
Instagram
Intercom
Kendo UI
LinkedIn
LiveChat
Marin Software
Oracle Cloud Infrastructure
SAP Analytics Cloud
SAP BusinessObjects Business Intelligence
Splunk Cloud Platform
Verint Predictive Modeling
Vertica

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac

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

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Datumize

Date Founded

2014

Company Location

Spain

Company Website

www.datumize.com

Company Facts

Organization Name

Data Virtuality

Date Founded

2012

Company Location

Germany

Company Website

datavirtuality.com

Categories and Features

Data Discovery

Data Classification
Data Matching
Sensitive Data Identification

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

ETL

Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Non-Relational Transformations

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Data Integration

Not specified

Data Pipeline

Not specified

Data Virtualization

Not specified

Data Warehouse

Not specified

ETL

Not specified

Integration

Not specified

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