Database Performance: Vendor Comparison with Live Demo

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Everyone talks about LLMs and large AI apps, comparing products and evaluating results. But few talk about what powers these apps: scalable, fast databases, be it vector, graph, nested hash or other.

We measured the time that it takes for different providers to process 1 trillion records, be it tokens, embeddings, transactional or tabular data.

This session will showcase a comprehensive speed test on a trillion-row dataset, comparing the best cloud databases. You will also learn techniques for optimizing data processing and achieving unparalleled speed and efficiency, with practical applications and business benefits for large-scale data analytics. Includes a live demonstration of the trillion-row speed test, comparing vendors.

Overview

Join our upcoming webinar on The Trillion Row Cloud DB Speed Test with Eric Hanson, where we explore the incredible performance capabilities of SingleStore. This session will showcase a comprehensive speed test on a trillion-row dataset, demonstrating how SingleStore outperforms traditional databases in handling massive data volumes with ease. Gain insights into the architecture and techniques that make SingleStore the leader in high-performance data processing and analytics.

You’ll learn:

• The fundamentals of SingleStore architecture and its advantages for handling massive datasets.
• How SingleStore performs in a trillion-row speed test compared to other cloud databases.
• Techniques for optimizing data processing and achieving unparalleled speed and efficiency.
• Insights into the practical applications and business benefits of using SingleStore for large-scale data analytics.
• A live demonstration of the trillion-row speed test showcasing SingleStore’s superior performance.

This hands-on workshop is for developers and AI professionals, featuring state-of-the-art technology, case studies, code-share, and live demos. Recording and GitHub material will be available to registrants who cannot attend the free 60-min session.

Register here.