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What is LDRA Tool Suite?

The LDRA tool suite represents the foremost offering from LDRA, delivering a flexible and comprehensive framework that integrates quality assurance into the software development lifecycle, starting from the requirements gathering stage and extending to actual deployment. This suite features an extensive array of functions, including traceability of requirements, test management, compliance with coding standards, assessment of code quality, analysis of code coverage, and evaluations of both data-flow and control-flow, in addition to unit, integration, and target testing, as well as support for certification and adherence to regulatory standards. The key elements of this suite are available in diverse configurations designed to cater to various software development needs. Moreover, a multitude of additional features is provided to tailor the solution to the specific requirements of individual projects. Central to this suite is the LDRA Testbed in conjunction with TBvision, which furnishes a powerful blend of static and dynamic analysis tools, accompanied by a visualization interface that facilitates the comprehension and navigation of standards compliance, quality metrics, and code coverage analyses. This all-encompassing toolset not only improves the overall quality of software but also optimizes the development process for teams striving for exceptional results in their initiatives, thereby ensuring a more efficient workflow and higher productivity levels in software projects.

What is DataOps DataFlow?

Apache Spark offers a comprehensive component-driven platform that streamlines the automation of Data Reconciliation testing for contemporary Data Lake and Cloud Data Migration initiatives. DataOps DataFlow serves as an innovative web-based tool designed to facilitate the automation of testing for ETL projects, Data Warehouses, and Data Migrations. You can utilize DataFlow to efficiently load data from diverse sources, perform comparisons, and transfer discrepancies either into S3 or a Database. This enables users to create and execute data flows with remarkable ease. It stands out as a premier testing solution specifically tailored for Big Data Testing. Moreover, DataOps DataFlow seamlessly integrates with a wide array of both traditional and cutting-edge data sources, encompassing RDBMS, NoSQL databases, as well as cloud-based and file-based systems, ensuring versatility in data handling.

Media

Media

Integrations Supported

Amazon Redshift
Azure Synapse Analytics
BlackBerry QNX
C
Codebeamer
Datagaps DataOps Suite
Deos
Jama Connect
Jenkins
Kovair Omnibus
MATLAB
MPLAB Connect Configurator
Microsoft Power BI
PTC Windchill
Polarion REQUIREMENTS
Simulink
Snowflake
TASKING
VxWorks
Wind River Workbench

Integrations Supported

Amazon Redshift
Azure Synapse Analytics
BlackBerry QNX
C
Codebeamer
Datagaps DataOps Suite
Deos
Jama Connect
Jenkins
Kovair Omnibus
MATLAB
MPLAB Connect Configurator
Microsoft Power BI
PTC Windchill
Polarion REQUIREMENTS
Simulink
Snowflake
TASKING
VxWorks
Wind River Workbench

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Contact us
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

LDRA

Date Founded

1975

Company Location

United Kingdom

Company Website

ldra.com/products/ldra-tool-suite

Company Facts

Organization Name

Datagaps

Date Founded

2010

Company Location

United States

Company Website

www.datagaps.com/dataops-dataflow/

Categories and Features

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

Test Management

Automation Integration
Collaboration Tools
Pass/Fail Results Tabulation
Reporting / Analytics
Requirements Management
Test Scheduling
Test Tracking
Time/Budget Tracking

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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