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What is Loadmill?

With Loadmill, organizations can generate automated API tests directly from real user sessions, streamlining their development workflows while significantly increasing speed and automating previously manual testing processes by mimicking genuine user behavior. By re-executing thousands of user flow tests, Loadmill effectively addresses regression challenges, thereby reducing the time needed for regression cycles and allowing teams to focus on critical priorities. This approach not only minimizes costs associated with inefficient testing and maintenance but also ensures that regression tests are automatically generated from actual user interactions, enabling teams to operate more efficiently. Furthermore, by automating the entire quality assurance process through the recreation of authentic user actions, Loadmill integrates smoothly into continuous delivery pipelines, promoting quicker deployment of updates. By harnessing real traffic from websites around the globe, Loadmill facilitates rapid performance testing of your server, enabling tests to be launched in mere seconds and helping to identify bottlenecks before they impact production environments. Its distributed system allows the use of countless unique IP addresses and locations for each test, and it also provides the option to record and replay specific user scenarios on a large scale, ensuring thorough coverage and reliability in all testing initiatives. In addition, this capability fosters a more robust testing environment, empowering organizations to adapt to evolving user needs efficiently.

What is Datafold?

Prevent data outages by taking a proactive approach to identify and address data quality issues before they make it to production. You can achieve comprehensive test coverage of your data pipelines in just a single day, elevating your performance from zero to a hundred percent. With automated regression testing spanning billions of rows, you will gain insights into the effects of each code change. Simplify your change management processes, boost data literacy, ensure compliance, and reduce response times for incidents. By implementing automated anomaly detection, you can stay one step ahead of potential data challenges, ensuring you remain well-informed. Datafold’s adaptable machine learning model accommodates seasonal fluctuations and trends in your data, allowing for the establishment of dynamic thresholds tailored to your needs. Streamline your data analysis efforts significantly with the Data Catalog, designed to facilitate the easy discovery of relevant datasets and fields while offering straightforward exploration of distributions through a user-friendly interface. Take advantage of features such as interactive full-text search, comprehensive data profiling, and a centralized metadata repository, all crafted to optimize your data management experience. By utilizing these innovative tools, you can revolutionize your data processes, resulting in enhanced efficiency and improved business outcomes. Ultimately, embracing these advancements will position your organization to harness the full potential of your data assets.

Media

Media

Integrations Supported

GitLab
Amazon Redshift
Amundsen
Apache Airflow
Azure Databricks
CircleCI
DataHub
GitHub
Google Cloud BigQuery
Jenkins
PagerDuty
PostgreSQL
Secoda
Slack
Snowflake
dbt

Integrations Supported

GitLab
Amazon Redshift
Amundsen
Apache Airflow
Azure Databricks
CircleCI
DataHub
GitHub
Google Cloud BigQuery
Jenkins
PagerDuty
PostgreSQL
Secoda
Slack
Snowflake
dbt

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

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

Loadmill

Date Founded

2018

Company Location

United States

Company Website

www.loadmill.com

Company Facts

Organization Name

Datafold

Company Location

United States

Company Website

www.datafold.com

Categories and Features

API Testing

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

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

Usability Testing

A/B Testing
Annotations
Audience Targeting
Heatmaps
Impression Testing
Mobile Testing
Moderated Usability Testing
Prototype Testing
Quantitative Metrics
Remote User Testing
Reporting / Analytics
Surveys and Feeback
Video Recording / Transcription

Categories and Features

Data Quality

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

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