Skip to content

893: Exploring Data Architecture Freedom With Starburst Data

Starburst gives analysts the freedom to work with diverse data sets wherever their location, without compromising on performance. Using Presto, the Starburst Distribution of Presto provides fast, interactive query performance across a wide variety of data sources including HDFS, Amazon S3, MySQL, SQL Server, PostgreSQL, Cassandra, MongoDB, Kafka, and Teradata, among others.

Founded by the largest team of Presto committers outside of Facebook, Starburst is the only company providing enterprise support for the Presto project. Originally invented and open sourced by Facebook under the Apache License, Presto is the fastest growing SQL engine driven by a community of users — from small companies to the Fortune 500.

According to Justin Borgman, CEO of Starburst Data, the largest contributor to the Presto open source project outside of Facebook, there are three key items to keep in mind when creating a data architecture that can stand the test of time:

  • Separate compute and storage
  • Use open data formats
  • Future proof your architecture with abstraction wherever you can

By adhering to these three items, enterprises preserve their optionality, enabling them to better control costs and gain the most from the architecture investments. But each item plays a specific role in creating optionality.

I invited Justin Borgman onto my daily tech podcast to learn more about data architecture freedom and much more.

Justin has spent the better part of a decade in senior executive roles building new businesses in the data warehousing and analytics space. Prior to co-founding Starburst, Justin was Vice President and General Manager at Teradata (NYSE: TDC), where he was responsible for the company’s portfolio of Hadoop products.

Prior to joining Teradata, Justin was co-founder and CEO of Hadapt, the pioneering “SQL-on-Hadoop” company that transformed Hadoop from file system to analytic database accessible to anyone with a BI tool. Hadapt was acquired by Teradata in 2014.

Be First to Comment

Leave a Reply

Your email address will not be published. Required fields are marked *