Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

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.

Description

Pandera offers a straightforward, adaptable, and expandable framework for data testing, enabling the validation of both datasets and the functions that generate them. Start by simplifying the task of schema definition through automatic inference from pristine data, and continuously enhance it as needed. Pinpoint essential stages in your data workflow to ensure that the data entering and exiting these points is accurate. Additionally, validate the functions responsible for your data by automatically crafting relevant test cases. Utilize a wide range of pre-existing tests, or effortlessly design custom validation rules tailored to your unique requirements, ensuring comprehensive data integrity throughout your processes. This approach not only streamlines your validation efforts but also enhances the overall reliability of your data management strategies.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure Databricks
Azure Synapse Analytics
Dask
Datagaps DataOps Suite
FastAPI
Fugue
GeoPandas
Microsoft Power BI
Oracle Analytics Cloud
PySpark
Salesforce
Snowflake
Tableau
pandas

Integrations

Azure Databricks
Azure Synapse Analytics
Dask
Datagaps DataOps Suite
FastAPI
Fugue
GeoPandas
Microsoft Power BI
Oracle Analytics Cloud
PySpark
Salesforce
Snowflake
Tableau
pandas

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Datagaps

Country

United States

Website

www.datagaps.com/etl-validator/

Vendor Details

Company Name

Union

Founded

2021

Country

United States

Website

www.union.ai/pandera

Product Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Product Features

Data Quality

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

Alternatives

Alternatives

iceDQ Reviews

iceDQ

Torana
iceDQ Reviews

iceDQ

Torana