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What is Zuar Runner?

Analyzing data from your business solutions can be a swift process with Zuar Runner, which facilitates the automation of your ELT/ETL workflows by channeling data from numerous sources into a single destination. This comprehensive tool handles all aspects of data management, including transport, warehousing, transformation, modeling, reporting, and monitoring. With the assistance of our skilled professionals, you can expect a seamless and rapid deployment experience that enhances your operational efficiency. Your business will benefit from streamlined processes and improved data accessibility, ensuring you stay ahead in today’s competitive landscape.

What is Data Quality Validator (DQV)?

DQV is an all-encompassing platform for data quality and testing, designed by Kumaran Systems, specifically for teams managing, masking, or validating large datasets. This sophisticated tool systematically assesses both source and target datasets on a granular level, pinpointing inconsistencies and generating comprehensive mismatch reports, thereby removing the necessity for tedious manual verification through spreadsheets. It boasts five essential features: it conducts field-level comparisons while identifying drift, enables migration mapping across diverse schemas, provides deterministic PII masking, performs validation at both record and table levels with the capability for immediate corrections, and creates synthetic data for teams without access to production environments for testing purposes. DQV supports a variety of data sources, such as SQL Server, Oracle, MySQL, PostgreSQL, AWS, Azure, GCP, flat files, JSON, XML, and REST APIs, and it integrates effortlessly with tools like Informatica, Databricks, and CI/CD pipelines. Alternatively, it can function independently as a library or command-line interface tool. In practical scenarios, DQV has demonstrated impressive performance by successfully validating 26.6 million bank records in under 22 minutes, underscoring its remarkable efficiency. Furthermore, it offers a free trial along with diverse licensing choices, including individual, enterprise, and on-premises plans, catering to the varied needs of organizations. This adaptable solution not only improves data integrity but also simplifies the testing workflow across multiple platforms, making it an invaluable asset for data management teams.

Media

Media

No images available

Integrations Supported

Adobe Marketo Engage
Amazon Ads
Amazon Drive
Centro Basis
Dropbox
Facebook
Firebase
Google Ads
Google Sheets
Jenzabar
Python
QuickBooks Online
Salesforce
Seafile
ServiceNow
ShareFile
Stackreaction
SugarSync
Tableau
pCloud Business

Integrations Supported

Adobe Marketo Engage
Amazon Ads
Amazon Drive
Centro Basis
Dropbox
Facebook
Firebase
Google Ads
Google Sheets
Jenzabar
Python
QuickBooks Online
Salesforce
Seafile
ServiceNow
ShareFile
Stackreaction
SugarSync
Tableau
pCloud Business

API Availability

Has API

API Availability

Has API

Pricing Information

Contact Zuar for Pricing
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

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

Zuar, Inc.

Date Founded

2015

Company Location

Unites States

Company Website

www.zuar.com/products/runner/

Company Facts

Organization Name

Kumaran Systems

Date Founded

1992

Company Location

United States

Company Website

kumaran.com/products/dqv/

Categories and Features

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

Data Extraction

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

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Categories and Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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