Brown Database Group
Brown University's Database Group is one of the world-leaders in database
research. The group has been instrumental in developing influential
systems, such as the Aurora and Borealis stream processing engines, the
C-Store column-oriented DBMS, the H-Store distributed main-memory OLTP
DBMS, and the SciDB array-centric scientific DBMS. Currently, the group's
research interests include systems at the intersection of databases and
artificial intelligence.
News
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2026-01-16: The group presented Continuous Prompts, Evergreen, and SPEAR at NEDB Day 2026.
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2025-06-21: Semantic Integrity Constraints was accepted to VLDB 2025.
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2025-01-20: Borealis won the test of time award at CIDR 2025!
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2025-01-09: The group presented VectraFlow at NEDB Day 2025.
Recent Publications
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VectraFlow: Long-Horizon Semantic Processing over Data and Event Streams with LLMs
Shu Chen, Junhan Liu, Deepti Raghavan, Uğur Çetintemel
Preprint 2026
[Paper] -
Evergreen: Efficient Claim Verification for Semantic Aggregates
Alexander W. Lee, Benjamin Han, Shayak Sen, Sam Yeom, Uğur Çetintemel, Anupam Datta
Preprint 2026
[Paper] [Code] -
Continuous Prompts: LLM-Augmented Pipeline Processing over Unstructured Streams
Shu Chen, Deepti Raghavan, Uğur Çetintemel
Preprint 2026
[Paper] -
Credo: Declarative Control of LLM Pipelines via Beliefs and Policies
Duo Lu, Andrew Crotty, Uğur Çetintemel
VLDB (Demo Track) 2026
[Paper] [Code] -
Making Prompts First-Class Citizens for Adaptive LLM Pipelines
Uğur Çetintemel, Shu Chen, Alexander W. Lee, Deepti Raghavan, Duo Lu, Andrew Crotty
CIDR 2026
[Paper] -
Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems
Alexander W. Lee, Justin Chan, Michael Fu, Nicolas Kim, Akshay Mehta, Deepti Raghavan, Uğur Çetintemel
VLDB 2025
[Paper] -
VectraFlow: Integrating Vectors into Stream Processing
Duo Lu, Siming Feng, Jonathan Zhou, Franco Solleza, Malte Schwarzkopf, Uğur Çetintemel
CIDR 2025
[Paper]
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