Streamlining Data Delivery with Query API Results to Cloud Transfer

Emma Vandermey

Table Of Contents

Delivering custom data cuts to partners and customers can be time-consuming and expensive. Many organizations rely on manual processes or multiple tools to distribute data, leading to inefficiencies and delays. Our new Query API Results to Cloud Transfer feature simplifies this process by automating data delivery, regardless of region, with self-service access.

The Challenges of Custom Data Requests

Data teams often handle specific requests, necessitating manually extracting, filtering, and transmitting information to users. Our Query API Results to Cloud Transfer feature streamlines this process by enabling consumers to filter, customize, and transfer query results directly to their selected cloud destinations.

When addressing the challenges of managing custom data requests, we’ve seen organizations struggle with:

  • Time-consuming manual extractions that slow down data delivery.
  • High IT workloads, preventing teams from focusing on innovation.
  • Limited customization forces consumers to process unnecessary data.

Query API Results to Cloud Transfer

With Query API Results to Cloud Transfer, organizations speed up data distribution, enhance efficiency, and facilitate seamless data access for consumers, all while alleviating the burden on IT teams.

Key Benefits

  • Efficiency – Eliminates manual data extraction, reducing IT workload.
  • Customization – Empowers consumers to retrieve only the necessary data.
  • Automation – Ensures seamless scheduled or on-demand data transfers.

Our platform now enables:

  • ​ Direct query execution on Snowflake and Databricks datasets.
  • ​ Customers or partners can use the Query API to request specific data cuts (e.g., filtered rows, selected columns).
  • ​ Automated data transfers to S3, Azure, and other cloud destinations.
  • ​ Data can be delivered to any region, ensuring global accessibility.

Conclusion

With Query API Results to Cloud Transfer, organizations can transform how they manage and distribute data. This feature enhances efficiency, governance, and scalability by leveraging Catalog to define available data products, Entitlement to control access and permissions, and Distribution to automate delivery. Businesses can now provide consumers with self-service access to customized data, reducing IT dependency, accelerating insights, and enabling secure, automated data distribution across multi-cloud environments.