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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Cycle is an automated testing platform designed specifically for your entire team, instilling confidence in your enterprise system deployments by mitigating risks, saving valuable hours, and preventing revenue loss. Unlike other automated testing solutions that kick in only after the development and configuration stages are complete, Cycle testing initiates before these crucial phases and remains active throughout the deployment of your system or during significant updates. This continuous approach to automated testing enables Cycle to detect potential issues early on, thereby minimizing risks and conserving time, financial resources, and manpower. With Cycle, the era of sleepless nights, extended work hours, and overwhelming stress related to system deployments and high-demand periods is behind you. You can create and implement tests that effortlessly retrieve and validate data across various databases, APIs, and vendor-specific protocols. Additionally, the Cycle platform ensures that tests are user-centric and articulated in clear, uncomplicated language, enhancing accessibility for all team members. Embrace a new standard of testing that not only streamlines processes but also fosters greater team collaboration and efficiency.

Description

DataOps ETL Validator stands out as an all-encompassing tool for automating data validation and ETL testing. It serves as an efficient ETL/ELT validation solution that streamlines the testing processes of data migration and data warehouse initiatives, featuring a user-friendly, low-code, no-code interface with component-based test creation and a convenient drag-and-drop functionality. The ETL process comprises extracting data from diverse sources, applying transformations to meet operational requirements, and subsequently loading the data into a designated database or data warehouse. Testing within the ETL framework requires thorough verification of the data's accuracy, integrity, and completeness as it transitions through the various stages of the ETL pipeline to ensure compliance with business rules and specifications. By employing automation tools for ETL testing, organizations can facilitate data comparison, validation, and transformation tests, which not only accelerates the testing process but also minimizes the need for manual intervention. The ETL Validator enhances this automated testing by offering user-friendly interfaces for the effortless creation of test cases, thereby allowing teams to focus more on strategy and analysis rather than technical intricacies. In doing so, it empowers organizations to achieve higher levels of data quality and operational efficiency.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Azure Databricks No 
Azure Synapse Analytics No 
Datagaps DataOps Suite No 
Microsoft Power BI No 
Oracle Analytics Cloud No 
Salesforce No 
Snowflake No 
Tableau No 

Integrations

Azure Databricks Yes 
Azure Synapse Analytics Yes 
Datagaps DataOps Suite Yes 
Microsoft Power BI Yes 
Oracle Analytics Cloud Yes 
Salesforce Yes 
Snowflake Yes 
Tableau Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Cycle Labs

Country

United States

Website

cyclelabs.io

Vendor Details

Company Name

Datagaps

Country

United States

Website

www.datagaps.com/etl-validator/

Product Features

Automated Testing

Hierarchical View No 
Move & Copy No 
Parameterized Testing No 
Requirements-Based Testing No 
Security Testing No 
Supports Parallel Execution No 
Test Script Reviews No 
Unicode Compliance No 

Product Features

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

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