Uplevel your data transformation process
Create AI pipelines
Use Maia - a team of virtual data engineers - to amplify your existing data team. Boost productivity and accelerate pipeline creation.
Empower team members
Alleviate the pressure on data engineering with a multi-tooled platform that’s accessible to a wide range of user skills.
Avoid duplicating efforts
With GitHub integration and automatic versioning, you never have to worry about duplicate work.
Improve processing speeds
Matillion’s parallel processing handles changes across multiple jobs at once.
Design pipelines with no coding required
Stop maintaining hard-coded pipelines and use Matillion’s intuitive, low-code designer to build transformations—fast.
- Visually build pipelines. Compose pipelines visually using a drag-and-drop tool
- Automatically generate documentation. There’s no need to document your pipelines manually since Matillion automatically creates pipeline documentation.
- Debug and test in real time. See real-time success and failure indicators as you build your transformation, as well as a task details pane for debugging.
- Use code where you need to. If you are a coder, use more complex components like Python or embed dbt pipelines directly within Matillion.
Centralize data pipeline management with Matillion Hub
Matillion’s architecture is designed for improved collaboration and streamlined transformation activities, all in one location.
With Matillion Hub, you can:
- Leverage GIT features. Enable the entire team to contribute, push transformations to data products, and manage version control from within Matillion.
- Assign advanced user and rights management. Ensure governance and control with these features.
- Transform complex datasets. You can transform even the most complex datasets, including JSON and AVRO.
Save time and speed up data delivery
Make your team more efficient with these tools to speed up everyday tasks:
- Manipulate data faster. Matillion includes several built-in components, including: pre-built transformations for staging, models, and REST connector.
- Use data sampling. Focus validation on a smaller dataset before scaling up to accelerate prototyping and development.
- Pushdown Python via Snowflake’s Snowpark. Reduce pipeline bottlenecks by executing Python scripts directly within your Snowflake account using the Snowpark service.
- Collaborate with the Matillion Community. The community includes a vast library of shared pipelines to import common orchestrations and transformations.
Create custom transformations
If your team has the skills, create high-code transformations using our SQL IDE for any use case. Save time by pre-empting mistakes; Matillion automatically checks all SQL statements for you.
Learn moreBuilding that single source of truth is only possible if you bring the right data, from the right sources, and have the confidence that this data is 100% quality-rich.
Pavan YerraSenior Director, Digital and Data Products, Loyalty
Tech and Conversational AI, Western Union
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