FME Inside Snowflake: Faster, Safer In-Database Data Integra

Safe Software Launches FME Remote Engines Service on Snowflake Marketplace, Delivering Faster, More Secure In-Database Data Integration

Safe Software, a global leader in enterprise data integration and transformation technology, today announced the availability of the FME® Remote Engines Service on the Snowflake Marketplace. This milestone marks a significant enhancement for organizations seeking to streamline advanced data processing, leverage large-scale analytics, and support AI workloads with increased performance and security. With FME now running directly inside Snowpark Container Services, Snowflake customers can execute data transformation and integration workflows natively within their own Snowflake environments—eliminating unnecessary data movement and delivering processing performance improvements of up to 30%.

A Major Step Forward in the Safe Software and Snowflake Partnership

Safe Software and Snowflake first began collaborating in 2019, working together to simplify customer migrations to Snowflake and remove barriers to integrating data from disparate environments. Over the years, the partnership has expanded, enabling organizations to more easily connect Snowflake to the vast ecosystems of systems, applications, sensors, spatial datasets, and digital twins that businesses rely on today.

With this latest advancement, FME Remote Engines Service becomes available through the Snowflake Marketplace, meaning Snowflake customers can immediately deploy FME’s high-performance engine in-database without needing complex infrastructure configurations or external compute resources. This shift provides a new level of accessibility and operational efficiency for enterprise teams.

Native In-Database Integration for Higher Security and Faster Performance

Traditionally, organizations using FME to process data associated with Snowflake would execute workflows externally—pulling data out of Snowflake, transforming it using FME, and then loading it back. This approach, although powerful, introduced operational considerations including data latency, governance requirements related to secure transport, and reliance on outside compute.

The new native execution model solves these challenges by allowing Snowflake users to run FME engines within Snowflake itself. Processing can now occur where the data already lives, eliminating round-trips and enabling more efficient utilization of Snowflake’s scalable compute environment. The result is:

Up to 30% faster data transformation and processing performance
Reduced operational overhead by eliminating extra data transfer steps
Enhanced security and governance by keeping the entire process inside Snowflake’s controlled environment
Seamlessly scalable execution through Snowpark Container Services

As a result, organizations can accelerate analytics initiatives and support the growing demand for machine learning and AI-driven workloads.

Amplifying the Value of the FME Ecosystem

One of the defining strengths of FME is its ability to connect thousands of systems and formats, serving as a bridge between business applications, cloud environments, IoT devices, and complex geospatial or engineering data. With support for advanced formats such as LiDAR point clouds (LAS/LAZ), cloud-optimized GeoTIFFs (COG), scientific datasets like NetCDF and HDF5, and sophisticated BIM/CAD files including Revit and IFC, FME enables organizations across industries— including utilities, government, healthcare, energy, transportation, and manufacturing— to work with data that has traditionally been difficult to analyze at scale.

By running FME directly inside Snowflake, organizations can now bring massive spatial, sensor, and 3D datasets together with their business intelligence and analytical data more efficiently than ever. This enables more comprehensive decision-making and more powerful data fusion without sacrificing performance, privacy, or compliance.

Leadership Perspectives on the New Integration

The launch is being recognized by both companies as an important milestone in helping enterprises maximize their data strategy:

This is an important step as we extend value for our shared customers, enabling enterprises to more confidently modernize their systems and bring life to all their data,” said Don Murray, CEO of Safe Software. “Harnessing the power of data and AI is critical for all organizations today, and the expanded Snowflake and Safe Software integration will enable users to leverage the best that both platforms have to offer.

Snowflake leadership echoed this sentiment, emphasizing the importance of providing customers with flexible integration choices and removing barriers to innovation:

As our users bring their data to the Snowflake AI Data Cloud, while keeping pace with advancements in AI, partners like Safe Software help us deliver choice to customers,” said Kieran Kennedy, VP, Data Cloud Product Partners at Snowflake. “Bringing Safe Software’s FME Remote Engines Service to the Snowflake Marketplace will help to provide our joint customers with increased access, streamlined data flows, and the ability to make better business decisions.

Supporting Modern AI and Data-Driven Initiatives

As organizations accelerate their adoption of AI, real-time analytics, digital twins, and sensor-driven operational intelligence, the need for scalable and secure data integration continues to grow. Many enterprises face challenges integrating heterogeneous data sources, especially those involving spatial or engineering datasets critical to planning, operations, and infrastructure management.

Running FME inside Snowflake is designed to address exactly that need, making it easier for organizations to: