SingleStore Accelerates Go-to-Market Strategy with AWS

The company signs a Strategic Collaboration Agreement with AWS to boost marketing and development of modern generative AI applications

SingleStore, a data platform that allows you to transact, analyze and contextualize data in milliseconds, today announced it signed a Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to accelerate their go-to-market approach.

Enterprises are increasingly harnessing large language models (LLMs) and foundational models (FMs) to build and secure generative artificial intelligence (AI) applications. With this collaboration with AWS, SingleStore is better equipped to provide the underlying architecture needed to support high scalability, real-time performance, security, ease of integration and manage AI workloads demand at scale.

“By strengthening our collaboration with AWS, we hope to continue to provide users with context for their generative AI applications with speed, scale and simplicity,” said Madhukar Kumar, CMO, SingleStore. “Working with AWS helps our customers be wiser about their investments, reduce latency in their data environments and have a unified platform for AI and machine learning (ML) features.”

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Customers, like dating application Jigsaw, found that the integration of SingleStore with AWS services is key in mitigating issues with high latency and low concurrency due to an influx of users.

“Our whole network is powered by AWS, and by collaborating with SingleStore it’s so easy to integrate with our existing infrastructure,” said Jack Chamberlain, Engineering Manager, Jigsaw Dating. “The shift to SingleStore was a model of excellence and seamlessness.”

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SingleStore has established a longstanding relationship with AWS, offering a real-time data platform tailored for operational analytics and AI/ML-driven applications that demand rapid data ingestion, high-performance queries, and scalable operations. The SingleStore Managed Service, a fully managed, on-demand, and elastic relational database, is effortlessly deployable on AWS. Moreover, SingleStore can be implemented on Amazon Elastic Compute Cloud (Amazon EC2) instances, within a customer-provided virtual private cloud (VPC), or a newly created VPC. AWS enriches SingleStore’s offerings with a range 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, as well as Amazon SageMaker and Amazon Bedrock. These services facilitate real-time analytics across both streaming and historical data, enable the development and operation of ML models, and empower the delivery of cutting-edge generative AI applications.