Starburst is The Analytics Engine for Data Mesh

By: Justin Borgman
August 6, 2021
Share: Linked In

Get early access to free early release chapters (including the newly released chapter!) of the O’Reilly book, Data Mesh: Delivering Data-Driven Value at Scale, written by Zhamak Dehghani.

By now, you’ve probably heard the term “Data Mesh,” which is a new approach to data architecture that embraces distributed data and addresses the failures of EDWs and Data Lakes. Businesses want to be able to make fast and accurate decisions, but they have been stuck attempting to gain at a “single source of truth,” through centralizing data in one place. Unfortunately, no one has managed to successfully get all of their data in one place in history. Data Mesh architectures help companies make faster, data-driven decisions, by accessing the data where it lives. This approach is:

  • Faster: Each domain has what they need to access data within or outside of their own domain.
  • Less Complex: Central IT provides access to storage, databases, and other technologies for each domain to use for their own individual purpose.
  • Less Expensive: There is no requirement for moving data across domains for the purpose of analytics.

Data Mesh brings out the benefits of distributed data. It puts teams in greater control of their data, speeds time-to-insight, and reduces data movement inefficiencies. Companies adopting a Data Mesh architecture must have an analytics engine capable of federating across these different data sources. Starburst is the analytics engine for the Data Mesh architecture, providing a single point of access to distributed data and empowering self-service analytics for each of the business domains.

With Starburst, there’s no need to chase the idea of a single source of truth. Data is maintained by the domain owners but easily accessible in real-time across your organization. Starburst is built on open-source Trino, a distributed engine that can execute SQL queries against data stored in a range of databases and file systems. With Starburst and Trino, teams can lower the total cost of their infrastructure and analytics investments, prevent vendor lock-in, and use the existing tools that work for their business so that they can concentrate on enabling faster time-to-insights. Trino’s open technology means that integration with other open technologies such as data catalogs and data discovery tools is simpler and reduces the total cost of ownership of the self service data platform.

If you are moving towards adopting a Data Mesh architecture, we want to be there to help. Visit our Data Mesh Resource Center for more information, including reference architecture examples and to see how our customers Zalando and Comcast have implemented a Data Mesh.

Get Started with Starburst Galaxy today

Sign up for Starburst Galaxy and get up to 500 credits free.

Sign up here
Justin Borgman

Co-Founder & CEO, Starburst

Justin Borgman is a subject matter expert on all things big data & analytics. Prior to founding Starburst, he was Vice President & GM at Teradata (NYSE: TDC), where he was responsible for the company’s portfolio of Hadoop products. Justin joined Teradata in 2014 via the acquisition of his company Hadapt where he was co-founder and CEO. Hadapt created “SQL on Hadoop” turning Hadoop from a file system to an analytic database accessible by any BI tool. He founded Starburst in 2017, seeking to give analysts the freedom to analyze diverse data sets wherever their location, without compromising on performance. Recently, Justin was named one of the most Exceptional Entrepreneurs of 2022 by Goldman Sachs and received the 2022 BIG Awards for Business Entrepreneur Award.

Start Free with
Starburst Galaxy

Up to $500 in usage credits included

  • Query your data lake fast with Starburst's best-in-class MPP SQL query engine
  • Get up and running in less than 5 minutes
  • Easily deploy clusters in AWS, Azure and Google Cloud
For more deployment options:
Download Starburst Enterprise

Please fill in all required fields and ensure you are using a valid email address.