Organizations today are working with more data than ever before. From legacy systems to real-time streams, the need for everything to work together is stronger than ever.
When teams pair the transformation power of FME with the scalability of Snowflake, they gain a cloud-ready foundation that simplifies integration and keeps data ready for action.
With FME Remote Engines running inside Snowpark Container Services, you can bring FME directly to where your data already lives. This creates a seamless environment where workflows stay secure, performance scales on demand, and information never leaves the Snowflake platform.
Here are five ways this integration helps Snowflake users immediately.
1. Transform data directly inside Snowflake
FME Remote Engines make it possible to run FME Workspaces within Snowpark using Snowflake compute. Your data remains in a single environment, eliminating the need for additional infrastructure and keeping everything simple and consistent.
2. Strengthen security and governance
Keeping your data inside Snowflake from start to finish provides a trusted and transparent chain of custody. Since FME operates within your Snowflake account, sensitive information stays protected at all times. This approach supports strong governance practices and enables teams to meet regulatory requirements with confidence.
3. Boost performance by up to 30%
When Snowflake’s elastic compute is combined with FME’s efficient processing, teams can work with large and complex datasets more quickly. Internal testing indicates that processing times can improve by up to 30% compared to traditional external processing. This creates a smoother experience for engineering, validation, and transformation tasks that often slow down production.
4. Unlock advanced geospatial capabilities
FME brings the world’s strongest spatial data support directly into Snowpark. Users can apply advanced geospatial transformations on formats such as LiDAR, BIM, and CAD without changing tools or leaving their Snowflake environment. This introduces a visual and intuitive way to manage and prepare location-based information in the cloud, which is especially valuable for organizations that rely on spatial insight.
5. Empower teams with low code automation
Running data integration and transformation workflows inside Snowflake helps teams create and automate transformations quickly while maintaining consistent operations across the organization. With FME, teams can design these workflows using a visual no-code approach, enabling data engineers and analysts to work faster, share Workspaces easily, and deploy updates without lengthy development cycles.Running these Workspaces inside Snowflake helps teams create and automate transformations quickly while maintaining consistent operations across the organization. Data engineers and analysts can work faster, share Workspaces easily, and deploy updates without lengthy development cycles.
Better together
More organizations are moving to the cloud to streamline operations and increase agility.
FME prepares and connects all your data.
Snowflake provides a secure and scalable home for it.
Snowpark Container Services brings the two together.
Whether you are modernizing legacy processes or preparing data for new AI-driven experiences, this integration creates a strong foundation to move forward with clarity and confidence.
