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Description

Apidog provides a comprehensive suite of tools that streamlines the entire API lifecycle, empowering research and development teams to adopt optimal practices for API Design-first development. Users can design and troubleshoot APIs using a robust visual editor, paired with JSON Schema support for straightforward descriptions and debugging. The platform automates the API lifecycle through features such as test generation from API specifications, visual assertions, built-in response validation, and integration with CI/CD pipelines. Additionally, it allows for the creation of visually appealing API documentation, which can be published to a custom domain or securely shared with collaborative teams. With a local and cloud mock engine, Apidog generates realistic mock data based on field names and specifications, eliminating the need for script writing. High-quality tools are essential for fostering team collaboration while preventing redundant tasks. Users can easily describe their API during testing, generating JSON/XML schemas with just a click, and can generate test cases from APIs, visually add assertions, and create complex test scenarios with branches and iterations with remarkable ease. This seamless integration of features ensures that teams can focus on innovation rather than repetitive tasks.

Description

DQV is the comprehensive data quality and testing platform developed by Kumaran Systems, catering to teams engaged in the movement, masking, or validation of substantial data volumes. This tool meticulously evaluates source and target datasets on a field-by-field basis, identifies discrepancies, and produces mismatch reports, eliminating the need for manual checks using spreadsheets. The platform encompasses five key functionalities: it performs field-level comparisons while detecting drift, facilitates migration mapping between different schemas, offers deterministic PII masking, conducts record- and table-level validation with the ability for on-the-fly corrections, and generates synthetic data for teams lacking access to production data for testing. DQV is compatible with a wide range of data sources, including SQL Server, Oracle, MySQL, PostgreSQL, AWS, Azure, GCP, flat files, JSON, XML, and REST APIs, and it seamlessly integrates with tools like Informatica, Databricks, and CI/CD pipelines, or can operate independently as a library or CLI tool. In real-world applications, DQV has successfully validated an impressive 26.6 million bank records in less than 22 minutes, showcasing its efficiency and speed. Additionally, a free trial is offered, along with various licensing options, including individual, enterprise, and on-premises plans, ensuring flexibility for different organizational needs. This versatile solution not only enhances data integrity but also streamlines the testing process across multiple platforms.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

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Integrations

No details available.

Integrations

No details available.

Pricing Details

$9 per user per month
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Apidog

Founded

2022

Country

United States

Website

apidog.com

Vendor Details

Company Name

Kumaran Systems

Founded

1992

Country

United States

Website

kumaran.com/products/dqv/

Product Features

API Management

API Design
API Lifecycle Management
Access Control
Analytics
Dashboard
Developer Portal
Testing Management
Threat Protection
Traffic Control
Version Control

API Testing

Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing

Product Features

Data Quality

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

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