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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
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
$9 per user per month
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
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
No
API Lifecycle Management
No
Access Control
No
Analytics
No
Dashboard
No
Developer Portal
No
Testing Management
No
Threat Protection
No
Traffic Control
No
Version Control
No
API Testing
Functional Testing
No
Fuzz Testing
No
Load Testing
No
Penetration Testing
No
Runtime and Error Detection
No
Security Testing
No
UI Testing
No
Validation Testing
No
Product Features
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No
