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What is Windocks?

Windocks offers customizable, on-demand access to databases like Oracle and SQL Server, tailored for various purposes such as Development, Testing, Reporting, Machine Learning, and DevOps. Their database orchestration facilitates a seamless, code-free automated delivery process that encompasses features like data masking, synthetic data generation, Git operations, access controls, and secrets management. Users can deploy databases to traditional instances, Kubernetes, or Docker containers, enhancing flexibility and scalability. Installation of Windocks can be accomplished on standard Linux or Windows servers in just a few minutes, and it is compatible with any public cloud platform or on-premise system. One virtual machine can support as many as 50 simultaneous database environments, and when integrated with Docker containers, enterprises frequently experience a notable 5:1 decrease in the number of lower-level database VMs required. This efficiency not only optimizes resource usage but also accelerates development and testing cycles significantly.

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

Actifio
Cohesity
Curiosity Modeller
IRI Data Protector Suite
IRI FieldShield
IRI Voracity
Mage Dynamic Data Masking
MySQL
NetApp SnapMirror
Oracle Database
PostgreSQL
SQL Server
SQL Server Reporting Services (SSRS)

Integrations Supported

API Availability

API Availability

Pricing Information

$799/month
Standard edition server supports 20 simultaneous database clones from images up to 1 TB.
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Windows
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Not specified

Company Facts

Organization Name

LangGrant

Date Founded

2015

Company Location

United States

Company Website

www.windocks.com

Company Facts

Organization Name

Kumaran Systems

Date Founded

1992

Company Location

United States

Company Website

kumaran.com/products/dqv/

Categories and Features

Application Development

Access Controls/Permissions
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control

Data Privacy Management

Data Mapping
Risk Management

DevOps

Dashboard
KPIs
Policy Management
Release Management

SQL Server

Credential Management
Database Servers
Deployment Testing
Docker Compatible Containers
Supports Database Clones

Categories and Features

Data Quality

Not specified

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