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The company signs a strategic partnership agreement with AWS to accelerate the marketing and development of modern generative AI applications
San Francisco, March 5, 2024–(BUSINESS WIRE)–SingleStore, the data platform that enables data to be traded, analyzed, and contextualized in milliseconds, today signed a Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS). , announced that it will encourage customer usage. -Market approach.
Enterprises are increasingly leveraging large-scale language models (LLMs) and foundational models (FMs) to build and secure generative artificial intelligence (AI) applications. In collaboration with AWS, SingleStore is equipped to support high scalability, real-time performance, security, ease of integration, and provide the underlying architecture needed to manage the demands of large-scale AI workloads. has been strengthened.
“By strengthening our collaboration with AWS, we want to continue to provide users with context for their generative AI applications with speed, scale, and simplicity,” said Madhukar Kumar, CMO at SingleStore. “By working with AWS, our customers can be smarter about their investments, reduce latency in their data environments, and have a unified platform for their AI and machine learning (ML) capabilities.”
Customers such as dating app Jigsaw have found that integrating SingleStore with AWS services is critical to mitigating high latency and low concurrency issues with an influx of users.
“Our entire network is powered by AWS, and working with SingleStore makes it very easy to integrate with our existing infrastructure,” said Jack Chamberlain, Engineering Manager at Jigsaw Dating. . “The move to SingleStore was a model of excellence and seamlessness.”
SingleStore has a long-established relationship with AWS, providing a real-time data platform tailored for operational analytics and AI/ML-driven applications that require rapid data ingestion, high-performance queries, and scalable operations. I am. SingleStore managed service is a fully managed, on-demand, elastic relational database that can be easily deployed on AWS. Additionally, SingleStore can be implemented on an Amazon Elastic Compute Cloud (Amazon EC2) instance in a customer-provided Virtual Private Cloud (VPC) or in a newly created VPC. AWS supports SingleStore’s services with a variety of services including Amazon Simple Storage Service (Amazon S3), Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Managed Streaming for Apache Kafka (Amazon MSK), AWS Glue, Amazon EMR, and Amazon SageMaker. We are strengthening it. And Amazon Bedrock. These services facilitate real-time analytics across both streaming and historical data, enable the development and operation of ML models, and power the delivery of cutting-edge generative AI applications.
Finally, SingleStore is on a rapid trajectory to lead innovation around generative AI. The company ranked #2 in the Emerging Vector Databases category and was recognized by TrustRadius as a Top Vector Database of 2023. Learn more about SingleStore here.
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About single store
SingleStore enables the world’s leading organizations to build and scale modern applications with the only database that allows them to process, analyze, and contextualize data in real time. With streaming data ingestion, support for both transactions and analytics, horizontal scalability, and hybrid vector search capabilities, SingleStore delivers 10-100x performance at 1/3 the cost compared to traditional architectures. Hundreds of customers around the world, including Fortune 500 companies and global data leaders, use SingleStore to power their real-time applications and analytics. For more information, please visit singlestore.com.
View source version on businesswire.com. https://www.businesswire.com/news/home/20240305846436/ja/
contact address
jessica lampen
SingleStore Communications and PR Director
jrampen@singlestore.com
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