How DAR Ditched MySQL for 1000X Faster Performance and 50% Lower Costs

Digital Asset Research (DAR) is one of the leading innovative Fintechs that provide ‘clean’, objective pricing and verified volume data for over 3100 digital assets.

However, with 140 million trades supported every day, providing a compelling user experience and separating the signal from the noise in digital asset pricing was not easy. 

Join us for an interactive session with Digital Asset Research (DAR) to learn more about how they are able to scale seamlessly from 20 million to 140 million daily orders while still driving a better end-user experience and lower costs.

Learn more about how DAR was able to drive 1000x better performance, and why they moved from AWS Aurora (MySQL) and Snowflake to a unified data platform such as SingleStoreDB.

This event is perfect for IT leaders, application developers, architects, data analysts, and anyone interested in building and scaling SaaS applications, especially within Fintech.

What you’ll learn:

• The DAR journey and data architecture on how they are powering their interactive Fintech application

• How they were able to drive up to 1000x faster performance while lowering costs by 50%

• Why they replaced their AWS Aurora (MySQL) infrastructure to SingleStoreDB as the unified data platform

• Key data challenges and how DAR solved for better user experience and horizontal scaling

Speakers:

• Michael Zimberg, CTO, Digital Asset Research

• Vijay Raja - Sr. Director of Product Marketing, SingleStore