Enables organizations to query and analyze data across multiple sources without data movement, providing faster insights and reducing infrastructure complexity through a high-performance distributed SQL engine.
Last updated Feb 20, 2026 by AI Enrichment
Leading commercial provider of Trino-based data analytics platform with strong enterprise adoption
Starburst is a data analytics platform company that commercializes and enhances Trino (formerly PrestoSQL), an open-source distributed SQL query engine. The company provides enterprise-grade data access and analytics capabilities that allow organizations to query data across multiple sources without moving it, enabling faster insights and reducing data silos. While Starburst is primarily known in the data analytics and data lakehouse space rather than traditional advertising technology, it can serve AdTech companies by providing the data infrastructure needed to analyze large-scale advertising data, user behavior, and campaign performance across disparate data sources. Starburst's platform is designed for organizations dealing with massive datasets distributed across cloud and on-premise environments. The company offers both a fully-managed cloud service (Starburst Galaxy) and an enterprise software deployment option (Starburst Enterprise). Their technology enables data teams to perform federated queries across data lakes, databases, and warehouses, making it valuable for AdTech companies that need to analyze data from multiple advertising platforms, customer data platforms, and analytics tools in real-time. The company has established itself as a leader in the data lakehouse and query federation space, competing with traditional data warehouse solutions and other query engines. Starburst has raised significant venture capital funding and serves enterprise customers across various industries, including those in the advertising and marketing technology sectors who require sophisticated data analytics capabilities.
Fully-managed cloud-native data lakehouse platform with separation of storage and compute
Self-managed enterprise deployment of Trino with additional security, governance, and performance features
Curated, governed datasets that can be shared and consumed across the organization
Ability to query across multiple data sources including data lakes, databases, and warehouses in a single query