data-federation
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Starburst Bet $414 Million That Your Data Should Stay Put
The Boston data company crossed $100 million in recurring revenue by challenging a lucrative industry habit: moving every last byte into one central warehouse. Its pitch is simpler - bring the query to the data.
Dremio Made the Data Lake Usable. Then SAP Came Shopping
The enterprise-data startup bet that companies would rather query their lakes than keep copying them into warehouses. A decade, roughly $407 million in funding and one SAP acquisition later, that argument has become the center of the AI stack.
Hasura Turned a Failed Food App Into the API Layer Developers Actually Wanted
The food-delivery business was a logistical headache. The backend tool built to launch it fast became the real company - and a lesson in finding the valuable machine hiding inside your first idea.
Zetaris
Zetaris is an Australian enterprise data company building an open, agentic data lakehouse that lets organizations query and prepare data across many disparate sources without moving or copying it. Founded in 2013 in Melbourne by Vinay Samuel and Jason Jaesung Jun, the platform uses federated, in-place querying with intelligent multi-engine routing (Spark, Trino, Presto, DuckDB) and a unified semantic layer to feed private, governed AI workloads. It positions itself as a control plane for enterprise AI rather than another business-intelligence tool.