Semarchy’s unified platform enhances data integration for Snowflake
Semarchy, a software leader enabling organizations to transform data into insights, announced an update to the Semarchy unified data platform. Available now, this connector extends the integration capabilities in the Semarchy xDI component with Snowflake-specific capabilities, enabling users to focus on their functional and business rules, while the connector automates Snowflake’s optimizations, capabilities, and specificities.
The Semarchy xDI connector is an agile and flexible toolbox that allows connecting, managing, and producing fully customized data flows, from the reverse-engineering of the data structures to the data loading and integrations.
Read More: Dada Group Releases White Paper Discussing Fulfillment For On-Demand Retail
“Customers adopt Snowflake for its lower-cost, elasticity, scalability and ease of use. Semarchy’s unique ability to fully exploit these capabilities accelerates their ability to move and leverage their data with Snowflake.”
“Semarchy makes continuous investments in cloud technologies, and this update reflects our commitment to users of Snowflake, a leader in cloud computing-based data warehousing,” said Francios-Xavier Nicolas, chief product officer of Semarchy.“This new connector provides best-in-class integration capabilities for Snowflake in terms of both performance and cost-effectiveness.”
These capabilities, provided uniquely by Semarchy, combine with the cost-effective ELT architecture that leverages the processing capabilities of the Snowflake engine to run all data flows, and add to best-in-class productivity features such as the data flows universal mapping graphical design and automated replication capabilities.
Read More: SalesTechStar Interview with Aaron Froberg, Senior Director of Value Acceleration at Egnyte
The new connector, which is fully integrated into the xDI module, leverages the learning phase as it works like any other connector in the platform. Snowflake customers can quickly design, deploy and run optimized integration flows using their engine of choice. This includes Snowflake-optimized generated code with support. For example, by enabling Qualify filters or bulk loading using COPY from the internal or external stages. Additionally the connector supports complex integration patterns, such as slowly changing dimensions or SCD, or automated rejects management.
“We are thrilled that we can support Snowflake users,” said Brett Hansen, CMO at Semarchy. “Customers adopt Snowflake for its lower-cost, elasticity, scalability and ease of use. Semarchy’s unique ability to fully exploit these capabilities accelerates their ability to move and leverage their data with Snowflake.”
