Snowflake and Matillion were both purpose-built for the cloud, providing businesses with the ability to take advantage of the cloud’s massive parallel processing (MPP) capabilities to quickly process and transform data. Matillion for Snowflake makes it easy to rapidly orchestrate and automate data loading and transformation.

Matillion is purpose-built to work with Amazon Redshift. Launched from the AWS Marketplace, you can migrate and continually load all of your data so you always have the data you need. Matillion also lets you take advantage of specific Amazon Redshift Spectrum features, including data partitioning, external schema set up, and Amazon S3 components.

Matillion is purpose-built to work with Delta Lake on Databricks, taking full advantage of the latest lakehouse technology. Launched from the AWS Marketplace, Matillion lets you continually extract and load all of your data and transform it as needed for analytics, reporting, machine learning, and more. Matillion also lets you take advantage of specific Delta Lake features, including ACID transactions, schema enforcement, and time travel/snapshots.

Enterprises use Matillion for Azure Synapse to query data across sources, on-premises and cloud data warehouses, as well as Microsoft sources including Azure Blob and Azure Data Lake, to perform powerful transformations to enable advanced use cases like machine learning with formatted, validated data.

Purpose-built for Google BigQuery, Matillion provides ability to quickly load and transform data within BigQuery. Matillion visually orchestrates sophisticated data workflows with transactions, decisions, and loops. Matillion also works with other Google Cloud services such as Pub/Sub and Data Studio.