Data Warehouse Ingestion for Snowflake.

Seamlessly stream your OLTP data into Snowflake
Turn operational records into powerful analytics fuel,
faster than ever.

Lightweight installation and an intuitive UI mean even small IT teams can set up ROAD quickly.

Deploy pipelines from databases to Snowflake in under an hour, versus the weeks or months of setup that code-heavy tools might require.

100% point-and-click configuration, eliminating scripts or SQL. ROAD requires no programming, so no development skills required.

Point and click. Enables SMBs without deep technical resources to load and use data in Snowflake effortlessly, with the ability to scale as needed.

Customers achieve results from the first day, leading to increased value, faster outcomes, and reduced churn.

Masks personal and sensitive data.

Simplified, resilient architecture ensures reliable data movement with minimal points of failure-built to handle change without breaking.

Automatically adapts to schema changes—new fields in the source are detected and propagated to the data warehouse without manual intervention.

ROAD Data Warehouse Ingestion.

Click here to access the ROAD for Data Ingestion data sheet.

Supports extraction from source and setup of data warehouse, whether on-premise or in the cloud.
Consolidates multiple data sources into a unified data warehouse.
Source data from a wide range of RDBMS platforms, including Oracle, SQL Server, DB2, and CSV files.
Handles specific transformations unique to individual application instances.
Enables data extraction, validation, transformation, and loading into the data warehouse.
Allows data transformations, including data masking.

Offers reusable designs for deployment across multiple clients or environments.
Documents every step of the process, ensuring auditability and transparency.
Facilitates partial data ingestion by selecting relevant subsets.
Propagates data changes for large-volume tables while honoring any defined subset criteria.
Automatically propagates table structure changes to the data warehouse.

Supports Data Quality and Enrichment
Enriches and validates data integrity and accuracy during ingestion, ensuring only clean and compliant data enters your warehouse.
Protects Sensitive Information
Ensures personally identifiable information (PII), financial data, and proprietary business data are handled securely during ingestion.
Builds Customer Trust
Demonstrates your commitment to safeguarding customer data, strengthening brand reputation and loyalty.
Ensures Regulatory Compliance
Enforcing controls during data movement helps meet data privacy laws such as GDPR, CCPA, HIPAA, and others.
Minimizes Security Risks
Prevents unauthorized access and potential data breaches as data is transferred into your data lake/data warehouse.
Enables Role-Based Access
Ensures only authorized users can access specific data sets once ingested.
Improves Governance
Supports consistent data policies and traceability from ingestion to reporting and analysis.
Reduces Operational Risk
Avoids costly fines, audits, and reputational damage due to mishandled or exposed data.