Turbocharge Your Open-Source DB to Drive 100x Faster Performance

On-Demand Webinar

MySQL and PostgreSQL are the most widely adopted and popular open-source databases on the planet. And developers love MySQL and PostgreSQL for their reliability and their ability to get started quickly, easily, and cost-effectively. 

However these open-source databases are based on legacy single-node architectures, and as your operations and data scale, their performance quickly starts to deteriorate leading to sluggish event-to-insight response times, as well as rising costs.

A number of customers are upgrading from MySQL and PostgreSQL (and their commercial variants) to a modern, distributed SQL database such as SingleStore to drive performance by 20x - 100x, to improve the customer experience for their SaaS offerings, while lowering costs.

Hear directly from Factors.ai, one of our customers on their journey migrating from PostgreSQL, and watch a live demo on how to migrate to SingleStore.

Join us for an interactive customer session to learn more about:

  • Why Factors.ai migrated from PostgreSQL to SingleStore to deliver performance that was never possible 
  • Case Study of the Factors.ai journey, use case, and lessons learned
  • Live Demo on how to migrate from MySQL
  • Best practices, and considerations for migrating one or multiple databases

Speakers:

  • Domenic Ravita, VP, Product Marketing  at SingleStore
  • Praveen Das, Co-Founder at Factors.ai
  • Sarung Tripathi, Director of Solutions Engineering at SingleStore

Watch Now

On-Demand Webinar
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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

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

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

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