DevzeryDevzery Technologies
|
||||||
Related Products
|
||||||
About
Prevent data outages by identifying and fixing data quality issues before they get into production. Go from 0 to 100% test coverage of your data pipelines in a day. Know the impact of each code change with automatic regression testing across billions of rows. Automate change management, improve data literacy, achieve compliance, and reduce incident response time. Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds. Save hours spent on trying to understand data. Use the Data Catalog to find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidation of metadata in one place.
|
About
Devzery is an AI-powered platform that revolutionizes API regression testing with codeless automation and seamless CI/CD integration. It enables teams to create, execute, and manage tests effortlessly, reducing manual effort while maximizing coverage. With support for multiple programming languages, Devzery caters to diverse environments, offering intelligent change detection, automated test case updates, and detailed reporting. It ensures comprehensive API validation, including performance and security testing, helping teams deliver robust, high-quality software faster. Perfect for startups and enterprises, Devzery streamlines QA, minimizes risks, and accelerates development timelines.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Data observability platform that helps companies prevent data catastrophes
|
Audience
Devzery is ideal for software development teams, QA engineers, and DevOps professionals who need efficient API testing solutions. Organizations ranging from startups to enterprises in industries like technology, finance, healthcare, e-commerce, and telecommunications can benefit from its robust capabilities.
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
$25
Free Version
Not Supported
Free Trial
Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Company InformationDatafold
United States
www.datafold.com
|
Company InformationDevzery Technologies
Founded: 2022
India
www.devzery.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
|
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
API Testing Features
Functional Testing
Supported
Fuzz Testing
Not Supported
Load Testing
Supported
Penetration Testing
Not Supported
Runtime and Error Detection
Supported
Security Testing
Not Supported
UI Testing
Supported
Validation Testing
Supported
|
||||||
Integrations
GitHub
Supported
Amazon Redshift
Supported
Amundsen
Supported
Apache Airflow
Supported
Azure Databricks
Supported
DataHub
Supported
GitLab
Supported
Google Cloud BigQuery
Supported
Jenkins
Not Supported
Jira
Not Supported
|
Integrations
GitHub
Supported
Amazon Redshift
Not Supported
Amundsen
Not Supported
Apache Airflow
Not Supported
Azure Databricks
Not Supported
DataHub
Not Supported
GitLab
Not Supported
Google Cloud BigQuery
Not Supported
Jenkins
Supported
Jira
Supported
|
|||||
|
|
|