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Average Ratings 1 Rating
Description
Data serves as the fundamental asset for all digital transformation efforts. Numerous initiatives encounter obstacles due to the misconception that data quality and availability are guaranteed. Yet, the stark truth is that obtaining relevant data often proves to be challenging, costly, and disruptive. The Datumize Data Collector (DDC) functions as a versatile and lightweight middleware designed to extract data from intricate, frequently transient, and legacy data sources. This type of data often remains largely untapped since accessible methods for retrieval are lacking. By enabling organizations to gather data from various sources, DDC also facilitates extensive edge computing capabilities, which can incorporate third-party applications, such as AI models, while seamlessly integrating the output into preferred formats and storage solutions. Ultimately, DDC presents a practical approach for businesses looking to streamline their digital transformation efforts by efficiently collecting essential operational and business data. Its ability to bridge the gap between complex data environments and actionable insights makes it an invaluable tool in today's data-driven landscape.
Description
It shouldn't take long to analyze data from your business solutions. Zuar Runner allows you to automate your ELT/ETL processes, and have data flow from hundreds of sources into one destination. Zuar Runner can manage everything: transport, warehouse, transformation, model, reporting, and monitoring. Our experts will make sure your deployment goes smoothly and quickly.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Centro Basis
No
Cmd
No
Eventbrite
No
Google Sheets
No
MEGA
No
Mailchimp
No
Microsoft Access
No
Microsoft Dynamics 365
No
Microsoft Excel
No
Microsoft OneDrive
No
Integrations
Centro Basis
Yes
Cmd
Yes
Eventbrite
Yes
Google Sheets
Yes
MEGA
Yes
Mailchimp
Yes
Microsoft Access
Yes
Microsoft Dynamics 365
Yes
Microsoft Excel
Yes
Microsoft OneDrive
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Contact Zuar for Pricing
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Datumize
Founded
2014
Country
Spain
Website
www.datumize.com
Vendor Details
Company Name
Zuar, Inc.
Founded
2015
Country
Unites States
Website
www.zuar.com/products/runner/
Product Features
Data Discovery
Contextual Search
No
Data Classification
Yes
Data Matching
Yes
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
Yes
Visual Analytics
No
Data Extraction
Disparate Data Collection
Yes
Document Extraction
Yes
Email Address Extraction
Yes
IP Address Extraction
Yes
Image Extraction
Yes
Phone Number Extraction
Yes
Pricing Extraction
Yes
Web Data Extraction
Yes
ETL
Data Analysis
No
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
Yes
Match & Merge
Yes
Metadata Management
No
Non-Relational Transformations
Yes
Version Control
No
Product Features
Data Cleansing
Address/ZIP Code Cleaning
Yes
Charting
Yes
Data Consolidation / ETL
Yes
Data Mapping
Yes
Multi Data Format Support
Yes
Phone/Email Validation
No
Raw Data Ingestion
Yes
Sample Testing
No
Validation / Matching / Reconciliation
Yes
Data Extraction
Disparate Data Collection
Yes
Document Extraction
No
Email Address Extraction
Yes
IP Address Extraction
Yes
Image Extraction
No
Phone Number Extraction
Yes
Pricing Extraction
Yes
Web Data Extraction
Yes
Data Quality
Address Validation
No
Data Deduplication
Yes
Data Discovery
Yes
Data Profililng
Yes
Master Data Management
Yes
Match & Merge
Yes
Metadata Management
Yes
ETL
Data Analysis
Yes
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
Yes
Match & Merge
Yes
Metadata Management
Yes
Non-Relational Transformations
Yes
Version Control
Yes