Profile

Starburst, the Open Hybrid Lakehouse, is the leading end-to-end data platform to securely access, analyze, and share data for analytics and AI across hybrid, on-premises, and multi-cloud environments. As the leaders in Trino, a modern open-source SQL engine, Starburst empowers the most data-intensive and security-conscious organizations like Comcast, Halliburton, Vectra, EMIS Health, and 7 of the top 10 global banks to democratize data access, enhance analytics performance, and improve architecture optionality.

With the Open Hybrid Lakehouse from Starburst, enterprises globally can easily discover and use all their relevant business data to power new applications and analytics across risk mitigation, supply chain, customer experiences, product optimization, streaming, and more.

Visit https://www.starburst.io/

Key Products

Starburst offers an open data lakehouse to provide an end-to-end analytics platform with industry-leading price-performance for both cloud and on-premises workloads. Starburst offers two products to enable customers to use Starburst within their multi-cloud, hybrid, or on-premises data estate, Including:

• Starburst Galaxy is a fully managed SaaS for end-to-end data and analytics. 


• Starburst Enterprise, which can be deployed anywhere—on premises, in the cloud, or hybrid—and is self-managed software that can run in some of the world’s most security-sensitive environments. 

With both products, Starburst streamlined data access and analytics for organizations dealing with large and complex datasets.

Customer Insights

Resilience is a biopharmaceutical manufacturing company with a mission to revolutionize how medicines are made. To achieve this a focus of its data team was to eliminate inefficiencies within data processing by using Starburst data products capabilities. Initially intended for R&D, Starburst’s data products saw significant adoption, prompting its expanded role within the organization. Resilience now supports over 30 purpose-built data products across six domains. This enabled instant reporting across 20+ key applications, resulting in over 200,000 unique dataset accesses and a 20-fold increase in BI tool usage at Resilience in only 4 months. Now Resilience benefits from powerful analytics powered by Starburst on a consistent set of trusted data products, securely democratized across the company to make informed decisions faster.

Volkswagen Group embarked on a mission to bring the data mesh concept to the company. VW built an open lakehouse architecture with Apache Iceberg and Delta Parquet as its foundation, Starburst for price-performant querying, data federation, data product creation, and attribute-based access controls for data governance. As a result, the use of Starburst and Iceberg has successfully connected different data ecosystems into a data mesh. This integration includes one petabyte of data across traditional data warehouses, S3-based storage in the cloud and on-prem, and a cloud-based data lakehouse.

Citi implemented Starburst across their Hybrid Cloud solution, spanning over 100 markets and managing around 25 trillion dollars of Assets Under Custody and Administration. This has enabled enhanced efficiency and innovation across the organization.

Key Executives

Justin Borgman, Co-Founder and CEO

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.

Steven Chung, President

Steven Chung oversees global operations, go-to-market strategy, and customer success. Prior to Starburst, Steven served as President at Delphix, an enterprise data company, helping the business to grow profitably resulting in a strategic acquisition. In addition, he has held executive roles as SVP of Worldwide Sales, Services & Business Development at PagerDuty, a DevOps SaaS company where he led the company from Series B to an IPO in 2019 and as SVP Worldwide Sales & Business Development at Demandware (NYSE: DWRE), an enterprise e-commerce company resulting in a multi-billion dollar acquisition by Salesforce in 2016.  He has also held management roles at Symantec, Microstrategy, and PwC Consulting.

Tobias Ternstrom, Chief Product Officer

Tobias Ternstrom joins Starburst from Nutanix, where he served as Vice President of Platform Services, bringing database-as-a-service to hybrid multi-cloud environments. Ternstrom’s previous tenure includes Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft. Ternstrom led product management for Amazon Aurora and Amazon Relational Database Service (RDS); GCP’s Database Services, including Cloud Spanner, Bigtable, Datastore, Firestore, Memorystore, and SQL; and various offerings from Microsoft, including SQL Server on Linux and managed PostgreSQL, MySQL, and MariaDB on Azure.

Toni Adams, SVP Partner and Alliances Sales & Business Development

Tony Adams leads Starburst’s global partner ecosystem strategy. With over two decades of experience in the technology industry, Toni has held senior leadership roles at ThoughtSpot, Qlik, VMware and Symantec, driving partner enablement, alliances growth, and ecosystem innovation. His expertise spans building strategic partnerships, developing go-to-market strategies, and fostering collaborative relationships to accelerate business outcomes. 

Megan Maslanka, Chief People Officer

Megan Maslanka oversees global people strategy, talent development, and organizational culture. With a distinguished career in HR leadership, she has held senior roles at Five9, DocuSign and Buildertrend, where she drove initiatives to enhance employee engagement, leadership development, and organizational effectiveness. Megan brings deep expertise in building inclusive, high-performance workplaces that align with business goals and foster innovation. 

Investors

Starburst has experienced significant growth supported by several rounds of successful funding, propelling us to unicorn status and helping to solidify our position as a leader in the data access and analytics space. 

Since its inception, Starburst has attracted substantial investment from prominent venture capital firms and strategic investors. Notable funding rounds include Series A, B, and C rounds led by top-tier investors such as Index Ventures, Coatue Management, and Andreessen Horowitz. With each round of funding, Starburst has demonstrated strong investor confidence in its vision and potential to revolutionize data access and analytics. 

This robust financial backing has enabled Starburst to accelerate product development, expand its customer base, and invest in key strategic initiatives. As a result, Starburst has reached a valuation of over $3 billion and continues to experience rapid growth in terms of revenue, customer acquisition, and market penetration. Its impressive growth metrics underscore the company’s ability to deliver tangible value to customers and capitalize on the growing demand for modern data solutions in today’s data-driven world.

Competitors

Starburst operates in the data analytics and query engine space, providing a platform to accelerate access to distributed data using Trino (formerly PrestoSQL). Its top competitors include:

• Snowflake – A cloud-based data warehousing and analytics platform offering capabilities for data storage and query performance.


• Databricks – Known for its unified platform combining data engineering, machine learning, and analytics using Apache Spark.


• Google BigQuery – A serverless, highly scalable data warehouse designed for fast SQL-based analytics.


• Amazon Redshift – AWS’s fully managed cloud data warehouse with analytics and querying tools.


• Cloudera – Focused on hybrid data platforms, combining analytics and machine learning with large-scale data management.