Business Breakdowns
Episode 134 Databricks: Data Based Decisions
Business Breakdowns

Episode 134: Databricks: Data Based Decisions

Business Breakdowns

Episode 134

Databricks: Data Based Decisions

Yanev Suissa is the founder of SineWave Ventures and an early investor in Databricks. We cover the major nuances of working with structured versus unstructured data, how legacy data businesses are being displaced by nimbler solutions, and the democratizing effect of LLMs and AI.

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(00:02:32) - (First Question) - What Databricks is and why it is so successful 

(00:04:38) - Real world examples of how customers use Databricks 

(00:07:23) - How issues were handled historically before Databricks was available 

(00:08:39) - Key examples of what helped accelerate Databricks’ success 

(00:10:52) - Databricks revenue model and how it converts into bottomline  

(00:12:13) - How Databricks competes with competitors like Snowflake 

(00:14:11) - Competition versus symbiosis when compared to large organizations 

(00:14:11) - The overall size of Databricks as a business

(00:18:09) - Costs incurred when using a database service like Databricks

(00:19:47) - The founding story of Databricks 

(00:22:53) - When SineWave recognized the databases potential 

(00:24:29) - The importance of partnerships and how they help grow the business 

(00:27:07) - Legacy solutions that they are disintermediating or replacing in their growth  

(00:27:57) - What being Hadoop’d means 

(00:21:50) - A breakdown of the complexity behind switching to different database providers 

(00:32:07) - The success of these businesses breaking into legacy regulated industries 

(00:34:47) - Why AI is so impactful to the database 

(00:37:40) - How AI is helping these businesses go to market with their software 

(00:39:50) - Democratization of data access and businesses taking the opposite approach 

(00:43:00) - Key reasons for investing in Databricks and potential risks to be considered  

(00:46:12) - Lessons learned from studying Databricks 

Databricks: Data Based Decisions

Introduction

Zack
I am Zack Fuss, an investor at Irenic Capital. And today, I am joined by Yanev Suissa to break down the private company Databricks. Grown out of a UC Berkeley Research Lab in 2013, Databricks has grown rapidly. And after 50% growth summer, it was rumored to have last raised at a $43 billion valuation.

In the most simple terms, Databricks provides tools for ingesting, transforming and analyzing large sets of data from multiple sources in multiple formats in order to inform business and engineering decisions. Databricks is on the crash course with Snowflake to amass market share. In this conversation, we explore the nuances of structured and unstructured data, discuss data lakes and what it entails to get Hadooped. We hope you enjoy this conversation.

What Problems Databricks Solves

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