Leadership, Technology and Talent Are the Reasons I Joined Rockset
February 28, 2022
“Data is the new oil. It’s valuable, but if unrefined it cannot really be used. It has to be changed into gas, plastic, chemicals, etc. to create a valuable entity that drives profitable activity; so must data be broken down, analyzed for it to have value.” — Clive Humby, 2006
“Information is the oil of the 21st century, and analytics is the combustion engine.” — Peter Sondergaard, 2011
I began my career in law and continued on with much success until I came across a small outfit called AppDynamics in 2010. It was there I fell in love with technology and the ambitions of doers that wanted to build the next great software company. In 2017 Cisco would go on to acquire AppDynamics in what was the biggest M&A multiple in software history. I was blessed to have spent those years learning how to scale an enterprise business and define and build a successful GTM strategy. I also discovered that anything is possible with amazing people. I learned how to identify the DNA that makes organizations successful; ThousandEyes and Epsagon too were acquired by Cisco, and Instana later was acquired by IBM. I have eternal gratitude to my colleagues and customers that were alongside for the journey.
The three tenets I look for in any organization are its people, leadership and technology. Rockset embodies the best of all three.
During our company kick off I witnessed the drive from each of my colleagues and the potential for greatness. It was a forum for collaboration that was welcomed by leadership and respected by peers. The caliber of people, passion for success, and professional development are integral for any growing company.
Rockset is built by experts with decades of experience in web-scale data management and distributed systems. Our engineering team is led by CEO Venkat Venkataramani, CTO Dhruba Borthakur and founding engineer Tudor Bosman. The team comprises engineers who founded Hadoop Distributed File System (HDFS) at Yahoo; scaled the online data platform at Facebook and created RocksDB, the open source embedded storage engine used by CockroachDB, Kafka and Flink; implemented the Gmail backend at Google; and many modern databases today. This team's performance is further enhanced by Shruti Bhat, a world class product and marketing leader. Having a team that has developed multiple game-changing innovations is special and inspiring.
Add in Ryan Precious leading our WW Sales organization, and Mitch Chesney heading our talented and selfless worldwide team of Sales Engineers, and you have something very special happening at Rockset. I sincerely look forward to helping build out the team alongside these two gentlemen.
Today, business success and digital initiatives are fueled by data and analytics strategies that scale with business ambitions. Companies must prioritize their capability to plan, optimize, prioritize and focus in order to obtain accurate contextual awareness. Agile data and analytics are essential to build sense-and-respond capabilities and are leading organizations to unprecedented cycles of rapid innovation to meet the new requirements. Building an application that leverages several different data sources and data types is a challenge for any organization.
No single database, SQL or NoSQL, operational or analytical, can do the job alone. As a result, data engineers are forced to cobble together a combination of databases and data services resulting in costs, errors and complexity. Most data is processed in batches every few hours or even longer. This is because it’s hard to collect, store and analyze data quickly. Popular data tools such as MySQL, MongoDB and Snowflake were not designed to perform complex analytics in real time on large amounts of data.
Recently, new data streaming technologies such as Amazon Kinesis and Apache Kafka have grown in popularity, making it easier to collect and process data in real time. Still, there is no good solution to instantly analyze that data. The existing data infrastructure is complicated to set up and you need a team of data engineers to decipher it all.
Rockset has built a completely new serverless search and real-time analytics engine, making it easy to go from data to applications. Developers can do less data and performance engineering, and focus on querying the data and iterating quickly. Using Rockset, developers can build massive-scale data applications in a matter of hours. One of our customers told us that “Rockset took a six-month roadmap item and compressed it into an afternoon.” We want every developer to have a similar experience, freed from the limits of what they thought possible with their data infrastructure.
I am grateful to have yet another opportunity to work alongside some of the best in our profession. And I even love the name!
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