Starburst vs Confluent
Side-by-side comparison of AI visibility scores, market position, and capabilities
Starburst is an enterprise SQL query engine built on Trino for federated analytics across data lakes, warehouses, and operational databases without data movement.
About
Starburst is an enterprise data analytics platform built on Trino, the open-source distributed SQL query engine originally developed at Facebook. The platform enables organizations to run SQL queries across heterogeneous data sources — cloud storage, data warehouses, relational databases, and streaming systems — without copying or moving data into a central repository. This federated query model lets data teams analyze data where it lives, reducing pipeline complexity and enabling real-time access to operational data alongside historical data in the lake.
Enterprise Kafka platform by Kafka's original creators; $950M revenue growing 25%, powering real-time data pipelines for AI, fraud detection, and event-driven systems.
About
Confluent is an enterprise data streaming platform built around Apache Kafka, providing fully managed Kafka infrastructure, stream processing, and data integration capabilities that enable real-time data pipelines and event-driven architectures. Founded in 2014 by Jay Kreps, Jun Rao, and Neha Narkhede — the original creators of Apache Kafka at LinkedIn — Confluent is headquartered in Mountain View, California and listed on NASDAQ with approximately $950 million in annual revenue growing ~25% year-over-year.
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