​
Introduction to Matia

Matia is the first unified DataOps platform that brings together ETL, Reverse ETL, Data Observability, and a Data Catalog. We designed Matia to simplify the complexities of modern data management by consolidating these four essential functionalities into a single, integrated tool. Once you experience the power of unified data operations, you’ll wonder how you ever managed without it.

Matia integrates with 100+ different API and database sources as well as with all major data warehouse providers including: Snowflake, Databricks, Amazon Redshift, Amazon S3, and Google Bigquery. We also fully integrate with both dbt Cloud and Core.

​
Our Core Pillars

Let’s dive into the core components that make up Matia:

​
ETL

We provide a streamlined process for extracting data from a variety of sources, standardizing it to meet your specific requirements, and loading it into your chosen destinations. This includes features like Change Data Capture (CDC) for real-time updates and robust error handling to ensure data integrity. Think of it as the foundation upon which all your data operations are built.

​
Reverse ETL

We empower you to sync your data warehouse of choice with your operational tools, allowing you to activate your data and drive key business processes. This capability enables you to leverage your data for real-time decision-making and personalized experiences across your organization. It’s all about putting your data to work where it matters most.

​
Data Observability

We offer comprehensive monitoring and alerting for your entire data stack. This includes the ability to detect schema drift, track data quality metrics, and provide automated error handling. Our goal is to help you proactively identify and resolve data pipeline issues, ensuring the reliability of your data infrastructure.

​
Data Catalog

We provide an out-of-the-box integrated data catalog that allows you to discover, understand, and manage your data assets effectively. This centralized repository of metadata makes it easier for your teams to collaborate, maintain data governance, understand table and column level lineage, and ensure that everyone is working with accurate and up-to-date information.

​
Why We Built Matia

We recognized that managing separate tools for ETL, Reverse ETL, Data Observability, and Data Catalog is complex and inefficient. Matia was developed to address the need for a more streamlined and integrated approach to DataOps. By unifying these critical functions, we aim to reduce the complexity of managing multiple tools, improve collaboration across teams, and ultimately accelerate your data-driven initiatives.

​
Is Matia for me?

Want to learn more about how our customers leverage Matia today? Take a look at our Case Studies page!

​
Getting Started

We’re excited to have you explore Matia! This documentation will guide you through each of our core pillars and provide you with the information you need to get up and running quickly. Whether you’re looking to build data pipelines, activate your data, monitor data quality, or manage your data assets, we’re here to help. If you’re not a customer yet,

We’re excited to help you on your DataOps journey with Matia! If you have any questions or would like a personalized walkthrough, please contact us at support@matia.io or schedule a demo.