Tech Talk - Hands On With SingleStore

On-Demand Webinar

SingleStore offers a highly scalable cloud-native SQL database designed to handle both transactional and analytical workloads that demand high performance, consistency, and durability. As the single unified database for your data-intensive applications, SingleStore can enable fast streaming ingest, low latency queries, and deliver extreme performance with high concurrency to accelerate your legacy data architectures or power new data-intensive applications. 

Join us for a hands-on demo and labs where we will dive deeper into our key integrations with open source technologies such as Apache Spark and Kafka to enable fast ingest, fast analytics, and operationalization of machine learning capabilities.

Join Akmal Chaudhri, Senior Technical Evangelist at SingleStore for a live demo to learn more about:

  • How you can easily do real-time streaming ingestion from diverse data sources using Kafka and SingleStore Pipelines
  • How you can perform real-time transformations using Apache Spark to enable machine learning capabilities
  • How to get started with SingleStore in a few clicks to enable blazing-fast query processing and analytics
  • See some of our key new features in action including separation of storage and compute and more...


  • Akmal Chaudhri, Senior Technical Evangelist at SingleStore

Watch Now

On-Demand Webinar
By clicking the button below you understand SingleStore will retain and process your personal information in accordance with our Privacy Policy.

SingleStoreDB is The Real-Time Distributed SQL Database, designed for data-intensive applications.single-store-db-is-the-real-time-distributed-sql-database-designed-for-data-intensive-applications

The cloud-native operational database built for speed and scale


Accelerate business with instant insights delivered by the world’s fastest database for operational analytics


Create your future on a platform made for the demands of the data revolution, including machine learning and AI


Transform on your terms - with the familiarity and efficiency of SQL, and an architecture that bursts through limits