In this episode, Dr. Mike Stonebraker, a rare breed of incredibly successful academic and entrepreneur, joins us to discuss the future of databases and how to raise funding for a startup.

Dr. Stonebraker has been a pioneer of database research and technology for more than a quarter century.  He was the main architect of both the INGRES relational database, and the hugely popular POSTGRES relational database, which he developed at UC Berkeley during his 25 years as a Professor of Computer Science.  

After he moved to MIT, he co-architected the C-Store column-oriented DBMS, the H-Store OLTP DBMS, the SciDB array DBMS, and the Data Tamer integration engine and the Kyrix (kyrix) visualization system. 

He also developed Aurora, a real-time event processing platform which revolutionized the way businesses analyze streaming data and later became Streambase in the early 2000s. 

Mike is also the founder of 11 venture-capital backed startups, including companies like the very successful Vertica and VoltDB.

In recognition of his impressive contributions, he’s been awarded some of the highest academic honors, including the IEEE John Von Neumann prize and the ACM Turing Award in 2014 to mention just a few.

Topics:

1- Guest introduction and early work on databases at UC Berkeley

2-  Motivation for Postgres and its extendable features

3- The Aurora/Borealis/StreamBase - early streaming platforms

4- Eliminating the need for traditional OS components like Linux and Kubernetes

5- DBOS, a database operating system, description and motivation

6- The advantage of Function as Service for Databases on the Cloud

7- Dealing with race conditions and Heisenbugs

8- The shortcomings of the Modern Data Stack

9- Time traveling and debugging with DBOS

10- The  security advantages of using DBOS compared to traditional OS stacks

11- Building resilience against ransomware attacks and other security threats

12- Discuss the challenges and potential benefits for companies adopting DBOS  

13- Function as a service model and only paying for what you use.

14- Whats next for DBOS

Startups and Raising Capital

-  Secrets of assembled high-performing teams for startup ventures. 

-  Leading by example and lead by being right

-  The biggest hurdles faced in launching new startups

-  How to negotiate deals with a VC and  the VC "Rock Fetch"

SHOW NOTES:

Learn more about Dr. Mike Stonebraker

https://en.wikipedia.org/wiki/Michael_Stonebraker

DBOS Project page

https://dbos-project.github.io/

Learn more aboutHOPORA.io

https://dbos-project.github.io/

https://hopara.io/

Learn more about Ingres

https://en.wikipedia.org/wiki/Ingres_(database)

Learn more about Postgres

https://www.postgresql.org/

Learn more about the Aurora and Borealis Stream Processing Engines

https://homes.cs.washington.edu/~magda/borealis-book.pdf

Learn more about voltDB 

https://www.voltactivedata.com/company/

Learn more about Vertica 

https://www.vertica.com/

Learn more about Streambase: 

https://marketswiki.com/wiki/StreamBase_Systems

Learn more about Heisenbug:

https://en.wikipedia.org/wiki/Heisenbug

Learn more about time travel debugging:

 https://docs.dbos.dev/cloud-tutorials/timetravel-debugging

Learn more about the modern data stack https://www.fivetran.com/blog/what-is-the-modern-data-stack

This episode was sponsored by:  

Ai+ Training https://aiplus.training/ 

Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering

And created in partnership with ODSC https://odsc.com/ 

The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps

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