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What is SOAPSonar?

Evaluate the functional, performance, and security dimensions of APIs, establishing Pass/Fail criteria to facilitate regression testing of API functionalities. These tests can be executed either on-demand or by utilizing command-line automation features. The tool is compatible with the latest OpenAPI specifications, allowing for the parsing of OpenAPI documents and the creation of test cases based on the defined operations. It accommodates various authentication methods, including SAML, OAuth, Basic Auth, Amazon Auth, PKI, and Kerberos. Users can establish behavior baselines and conduct regression tests to identify any disruptions or alterations in behavior. Additionally, it features capabilities for comparing JSON and XML outputs. The system can generate performance loads across numerous virtual clients to assess and ensure the performance criteria of the target APIs are met. Each request undergoes security and identity verification to simulate realistic inputs rather than replays. Moreover, it includes native support for AWSv4 signatures to facilitate authentication when testing Amazon AWS APIs, ensuring a comprehensive approach to API validation. This enables developers to reliably ensure that their APIs maintain functionality and performance standards as changes are made.

What is Bevywise IoT Simulator?

Establish an IoT simulator capable of transmitting real-time messages either within defined ranges or derived from a selection of random values, determined by time and the client. This configuration should replicate dynamic messages in both TEXT and JSON formats, closely resembling genuine IoT devices. It will accommodate four distinct types of dynamic values for message transmission, which include system variables such as timestamps and client identifiers, in addition to random, range, linear, and constant values to facilitate diverse data publication in each sequence, thereby ensuring alignment with actual device behavior. Moreover, you can set up IoT events by utilizing your personalized dataset, which can be uploaded via the CSV Importer feature. Each command sent to the edge device or IoT endpoint will elicit a response from the device once the requested action has been executed. To craft realistic scenarios, you can implement behavior simulation, an automated response mechanism that reacts to subscribers based on the messages and topics it encounters. When a simulation request is received, the connected virtual devices will commence data publishing to the specified endpoint, thereby effectively mirroring real-world interactions within the IoT framework. This comprehensive setup significantly elevates the realism of the simulations, enabling a more precise representation of the dynamics within the IoT ecosystem and fostering enhanced testing and development opportunities.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Ansible
Google Cloud Platform
JUnit
Jenkins
Microsoft Azure
Salesforce

Integrations Supported

Amazon Web Services (AWS)
Ansible
Google Cloud Platform
JUnit
Jenkins
Microsoft Azure
Salesforce

API Availability

Has API

API Availability

Has API

Pricing Information

$80/month
Free Trial Offered?
Free Version

Pricing Information

$599 per year
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

Crosscheck Networks

Date Founded

2005

Company Location

United States

Company Website

www.crosschecknet.com/products/soapsonar/

Company Facts

Organization Name

Bevywise Networks

Date Founded

2016

Company Location

United States

Company Website

www.bevywise.com/iot-simulator/

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

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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