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What is ServiceV Pro?

Comprehensive Mocking and Service Virtualization are now available to everyone involved in the delivery pipeline. By virtualizing various protocols such as REST and SOAP APIs, TCP, JDBC, and others, the processes of development and testing can be accelerated considerably! The virtualization of key APIs and microservices is essential for reducing dependencies and alleviating delays throughout the delivery pipeline. ServiceV enables the virtualization of numerous protocols, including HTTP, REST, SOAP, JMS, and JDBC. Users are empowered to begin creating dynamic, virtualized APIs, databases, and user interfaces without requiring extensive technical knowledge or programming abilities for their development or implementation. You can swiftly import specifications like OAS, WSDL, or other API definitions, or even capture live traffic from APIs or user interfaces to launch your project. Testing and developing around edge cases, error conditions, and complex scenarios has become remarkably straightforward, often just a matter of a few clicks. With ServiceV Pro, you can customize the response logic for each endpoint, manipulate network latency, and control server capacity, ensuring you maintain oversight of performance and functionality. This degree of customization not only enhances your testing environment but also guarantees that it simulates real-world conditions closely, resulting in more dependable outcomes. Ultimately, such flexibility in testing leads to better software quality and more robust applications.

What is Hyper-Q?

Adaptive Data Virtualizationâ„¢ technology allows organizations to run their existing applications on modern cloud data warehouses with minimal changes or configuration. By utilizing Datometry Hyper-Qâ„¢, companies can quickly adopt new cloud databases, effectively control ongoing operational expenses, and improve their analytical capabilities, thereby hastening their digital transformation initiatives. This virtualization software from Datometry enables any legacy application to operate on any cloud database, promoting seamless interoperability between applications and various databases. As a result, businesses can choose their desired cloud database without the risk of dismantling, rewriting, or replacing their current applications. Moreover, it guarantees runtime compatibility for applications by emulating and transforming the functionalities of traditional data warehouses. This innovative solution can be easily implemented across major cloud platforms such as Azure, AWS, and GCP. Furthermore, applications can utilize existing JDBC, ODBC, and native connectors without needing modifications, ensuring a seamless transition to cloud environments. It also facilitates connections with prominent cloud data warehouses, including Azure Synapse Analytics, AWS Redshift, and Google BigQuery, which enhances opportunities for data integration and comprehensive analysis. With these capabilities, organizations are better positioned to leverage cloud technologies and drive business innovation.

Media

Media

Integrations Supported

Amazon Redshift
Amazon Web Services (AWS)
Azure Synapse Analytics
Cognizant
DXC Cloud
Google Cloud BigQuery
Google Cloud Platform
Microsoft 365
Microsoft Azure
ReadyAPI

Integrations Supported

Amazon Redshift
Amazon Web Services (AWS)
Azure Synapse Analytics
Cognizant
DXC Cloud
Google Cloud BigQuery
Google Cloud Platform
Microsoft 365
Microsoft Azure
ReadyAPI

API Availability

Has API

API Availability

Has API

Pricing Information

$999 per year
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

SmartBear

Date Founded

2009

Company Location

United States

Company Website

smartbear.com/product/ready-api/servicev/

Company Facts

Organization Name

Datometry

Date Founded

2013

Company Location

United States

Company Website

datometry.com/products/database-migration/

Categories and Features

Virtualization

Archiving & Retention
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring

Categories and Features

Virtualization

Archiving & Retention
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring

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