Episode Details

Summary
One of the most complex aspects of managing data for analytical workloads is moving it from a transactional database into the data warehouse. What if you didn’t have to do that at all? MemSQL is a distributed database built to support concurrent use by transactional, application oriented, and analytical, high volume, workloads on the same hardware. In this episode the CEO of MemSQL describes how the company and database got started, how it is architected for scale and speed, and how it is being used in production. This was a deep dive on how to build a successful company around a powerful platform, and how that platform simplifies operations for enterprise grade data management.
Preamble

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• Your host is Tobias Macey and today I’m interviewing Nikita Shamgunov about MemSQL, a newSQL database built for simultaneous transactional and analytic workloads

Interview

• Introduction
• How did you get involved in the area of data management?
• Can you start by describing what MemSQL is and how the product and business first got started?
• What are the typical use cases for customers running MemSQL?
• What are the benefits of integrating the ingestion pipeline with the database engine? 
  • What are some typical ways that the ingest capability is leveraged by customers?
• How is MemSQL architected and how has the int