Modern enterprises run on data. To drive business insights, predictive analytics, and intelligent customer experiences, organizations need a clean, connected, and contextual dataset that flows seamlessly into their analytics and AI/ML environments.
That’s where the Reltio Data Pipeline for Snowflake comes in. It enables organizations to move curated, real-time master data directly from Reltio into Snowflake with high performance and reliability, powering downstream analytics, dashboards, and machine learning models without friction.
Why Reltio Data Pipeline for Snowflake Matters
The Reltio platform unifies data across silos and delivers trusted, enriched and AI-ready data of customers, products, suppliers, and more. With the Reltio data pipeline for Snowflake, customers can:
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Accelerate Analytics: Automatically deliver governed & trusted master data into Snowflake to fuel BI dashboards and reporting.
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Power AI/ML Workloads: Provide machine learning teams with real-time, high-quality AI-ready data to train models with confidence.
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Reduce Engineering Overhead: Eliminate the need for custom ETL pipelines and data wrangling.
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Ensure Timely Insights: Keep analytics systems in sync with operational data, ensuring decisions are made with the latest information.
Reltio Data Pipeline for Snowflake (Direct Connect): Modern, Scalable, and Efficient
The new architecture of the Reltio Data Pipeline for Snowflake - Direct Connect is built with internal Snowflake stage at its core. This delivers significant advantages over the legacy external stage–based Staging Pipeline.
Key Improvements
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Performance: Internal staging removes dependencies on external cloud storage buckets (S3, GCS, ADLS), significantly reducing data movement overhead.
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Simplicity: The setup is streamlined. Customers no longer need to configure cloud storage accounts or manage cross-cloud permissions.
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Cost Efficiency: By cutting out extra storage layers and transfers, customers can reduce infrastructure and operational costs.
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Operational Reliability: Internal staging minimizes points of failure, making the pipeline more resilient.
In comparison, the legacy architecture relied on customer-managed external stages, which introduced additional configuration complexity and potential performance bottlenecks.
Setting Up the Snowflake Data Pipeline
Getting started with the new data pipeline is straightforward:
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Configure Snowflake Connection: Follow the steps outlined in Reltio's documentation.
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Enable Internal Stage: Reltio automatically sets up the internal stage for secure data transfer.
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Define Data Pipeline: Select which data objects should flow into Snowflake while triggering the data sync for the first time.
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Activate and Monitor: Once enabled, Reltio continuously streams updates to Snowflake.
The setup removes the need for manual creation of cloud buckets or IAM roles, reducing time-to-value dramatically.
Migrating from Legacy to New Architecture
For customers already running Reltio data pipelines for Snowflake with the legacy external-stage design, Reltio provides a guided migration path.
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Parallel Execution: You can run both of the data pipelines in parallel during the migration phase to validate consistency.
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Seamless Transition: After validation, simply deactivate the legacy data pipeline and switch workloads to the new architecture.
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Minimal Downtime: Migration is designed to be smooth, ensuring that downstream analytics and AI workloads are not disrupted.
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Future-Ready: Once migrated, customers gain the benefits of simplified operations and better performance.
The new Reltio Data Pipeline for Snowflake (Direct Connect) is more than an upgrade—it’s a foundation for innovation. It empowers you to move faster, spend less, and innovate more with the confidence that your data is always ready for action.