Mantel Group’s Real-time Data Streaming into Snowflake on AWS offering is designed to empower organisations using Kafka with high-speed, reliable data ingestion into Snowflake. By combining the robust capabilities of AWS data services and Mantel Group’s years of experience, this solution minimises data latency and maximises accessibility for downstream applications. The real-time streaming process drastically reduces the time required to access fresh data, making it an ideal choice for companies needing immediate insights for analytics, reporting, and machine learning initiatives.

This solution leverages Snowflake’s integration with Kafka connectors, optimised by Mantel Group’s custom enhancements for smooth schema transformations, low-latency data pipelines, and operational efficiency. The integration captures all possible streaming events, not just CDC, ensuring that Snowflake tables always reflect the latest records, supporting use cases in fast-moving industries such as gaming, finance, and retail.

In addition to real-time data updates, this offering includes pre-built solution accelerators, honed through years of AWS-based deployments, to reduce setup time and enable quicker time-to-value. By utilising Snowflake’s native tools like Dynamic Tables and Serverless SQL Tasks, Mantel Group delivers cost-effective and scalable performance suited for both high-frequency and high-volume data ingestion scenarios.

Designed for ease of integration and rapid deployment, this AWS Marketplace offering represents the latest in Mantel Group’s solutions, delivering real-time data into Snowflake for any enterprise looking to stay competitive with timely insights and advanced data analytics.