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What is Matillion?

Introducing a groundbreaking cloud-native ETL solution designed to efficiently load and transform data for your cloud data warehouse. We have redefined the traditional ETL model by creating a tool that operates directly in the cloud environment. Our cutting-edge platform harnesses the nearly limitless storage capabilities of the cloud, allowing your projects to scale to unprecedented levels. Operating within the cloud environment simplifies the complexities involved in transferring large volumes of data significantly. Experience the remarkable capability of processing a billion rows of data in just fifteen minutes, and enjoy a swift transition from launch to operational functionality in as little as five minutes. In an era where competition is fierce, organizations must effectively utilize their data to reveal critical insights. Matillion streamlines your data transformation process by efficiently extracting, migrating, and transforming your data in the cloud, enabling you to gain new insights and improve your strategic decision-making. This positions businesses to remain competitive and agile in an ever-changing market landscape, ensuring they are always ready to adapt to new challenges and opportunities.

What is Datagaps ETL Validator?

DataOps ETL Validator is a comprehensive solution designed for automating the processes of data validation and ETL testing. It provides an effective means for validating ETL/ELT processes, simplifying the testing phases associated with data migration and warehouse projects, and includes a user-friendly interface that supports both low-code and no-code options for creating tests through a convenient drag-and-drop system. The ETL process involves extracting data from various sources, transforming it to align with operational requirements, and ultimately loading it into a specific database or data warehouse. Effective testing within this framework necessitates a meticulous approach to verifying the accuracy, integrity, and completeness of data as it moves through the different stages of the ETL pipeline, ensuring alignment with established business rules and specifications. By utilizing automation tools for ETL testing, companies can streamline data comparison, validation, and transformation processes, which not only speeds up testing but also reduces the reliance on manual efforts. The ETL Validator takes this automation a step further by facilitating the seamless creation of test cases through its intuitive interfaces, enabling teams to concentrate more on strategic planning and analytical tasks rather than getting bogged down by technical details. Consequently, it empowers organizations to enhance their data quality and improve operational efficiency significantly, fostering a culture of data-driven decision-making. Additionally, the tool's capabilities allow for easier collaboration among team members, promoting a more cohesive approach to data management.

Media

Media

Integrations Supported

Snowflake
AWS IoT SiteWise
CASIE
DataOps.live
Google Ads
INFOFISCUS
InsurSuite
Jira
Jira Work Management
Mailchimp
Marketo
Microsoft Power BI
Mixpanel
NetSuite CRM
QlikMaps
QuickBooks Online
UniverseBridge
Zendesk Chat
Zuora

Integrations Supported

Snowflake
AWS IoT SiteWise
CASIE
DataOps.live
Google Ads
INFOFISCUS
InsurSuite
Jira
Jira Work Management
Mailchimp
Marketo
Microsoft Power BI
Mixpanel
NetSuite CRM
QlikMaps
QuickBooks Online
UniverseBridge
Zendesk Chat
Zuora

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Matillion

Date Founded

2011

Company Location

United States

Company Website

www.matillion.com

Company Facts

Organization Name

Datagaps

Company Location

United States

Company Website

www.datagaps.com/etl-validator/

Categories and Features

ETL

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

Categories and Features

ETL

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

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