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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 

Screenshots View All

Screenshots View All

Integrations

Adobe Marketo Engage No 
Backblaze No 
Box No 
Envestnet | Tamarac No 
Eventbrite No 
Firebase No 
Fullstory No 
Google Analytics No 
Google Cloud BigQuery No 
Hadoop No 
LeafLogix No 
Mailchimp No 
Microsoft OneDrive No 
NetSuite No 
Pipedrive No 
Python No 
ServiceNow No 
Snowflake No 
Splunk AppDynamics No 
Tableau No 

Integrations

Adobe Marketo Engage Yes 
Backblaze Yes 
Box Yes 
Envestnet | Tamarac Yes 
Eventbrite Yes 
Firebase Yes 
Fullstory Yes 
Google Analytics Yes 
Google Cloud BigQuery Yes 
Hadoop Yes 
LeafLogix Yes 
Mailchimp Yes 
Microsoft OneDrive Yes 
NetSuite Yes 
Pipedrive Yes 
Python Yes 
ServiceNow Yes 
Snowflake Yes 
Splunk AppDynamics Yes 
Tableau 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 

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