This post recaps a session at the SingleStore NOW 2024 Conference, held at the Chase Center on October 3, 2024. To view the entire session, check out the video at the bottom of the blog.
Overview
A new partnership between Snowflake and SingleStore is helping users build faster, more efficient real-time AI applications. This collaborative demonstration between Snowflake and SingleStore showcased how the two platforms can be combined to unlock new possibilities for enterprise users.
About the speakers
- Unmesh Jagtap, Director of Product Management at Snowflake, discussed Snowflake's platform capabilities, emphasizing how Snowflake's secure and interoperable data ecosystem supports diverse data needs, from warehousing to AI-driven applications.
- Bharat Kathi, representing SingleStore, elaborated on the technical details of integrating SingleStore's real-time data processing capabilities with Snowflake's data infrastructure. He provided a demonstration of how the combination can enhance the speed and efficiency of analytics for data-rich applications.
Key takeaways
This session highlighted how the integration of Snowflake and SingleStore creates new possibilities for real-time data analysis:
- Real-time data processing with SingleStore. Bharat demonstrated how SingleStore’s ability to handle high concurrency transactions with low latency enhances data analysis. By processing data directly as it lands, SingleStore significantly reduces the time required to analyze new information, achieving a 100x speed improvement in some cases.
- Seamless integration with Snowpark Container Services (SPCS). A major highlight was the introduction of SingleStore’s native app within SPCS. Now users can run a SingleStore cluster directly inside Snowflake, enabling real-time data ingestion and analysis without data ever leaving the Snowflake environment. This integration ensures a secure, unified data ecosystem with minimal latency.
- Practical use case. The demo used a ride-sharing simulation to show how SingleStore and Snowflake are better together. By ingesting real-time trip data into SingleStore through Kafka and using Snowflake for historical data analysis, the demo illustrated how companies can gain instant insights — like real-time pricing recommendations — using a combination of current and historical data.
- Enhanced data governance and security. Both speakers emphasized the importance of maintaining data security while integrating these platforms. With Snowflake's powerful governance features and SingleStore’s seamless integration capabilities, enterprises can securely manage data without sacrificing performance.
- Cost efficiency and scalability. The integration enables a zero-ETL workflow, which eliminates the need for extensive data movement and minimizes the use of Snowflake credits. This results in a more cost-effective solution for enterprises looking to process large volumes of data quickly.
Take it to the next level
Explore the possibilities of real-time analytics by checking out the complete session and starting your free SingleStore Helios® trial. See how the seamless integration between SingleStore and Snowflake transforms your data strategy, taking your analytics and AI to the next level.
