Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First

Summary: LLM agents to become dominant data workload; "agentic speculation"—high-throughput exploratory/solution iterations—creates scale, heterogeneity, redundancy, and steerability challenges. Proposes an agent-first DB architecture and research agenda (interfaces, processing, agentic memory) to natively support them. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 594
Venue: CIDR
Year: 2026
Pagerank: 4.1945683e-05
Overall Rank: 9,992 | 30.49%
DOI: -

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Rank	Citing Paper	Year	Venue	Pagerank

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Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
156	Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases	2017	SIGMOD	0.00040504295
179	Efficient and Extensible Algorithms for Multi Query Optimization	2000	SIGMOD	0.00037672155
449	Approximate Query Processing: Taming the TeraBytes! A Tutorial	2001	VLDB	0.00022846068
460	SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics	2015	VLDB	0.00022516069
818	Finding Related Tables	2012	SIGMOD	0.00016311524
940	SharedDB: Killing One Thousand Queries With One Stone	2012	VLDB	0.00015173166
1,098	Trill: A High-Performance Incremental Query Processor for Diverse Analytics	2015	VLDB	0.00014114442
2,037	OrpheusDB: Bolt-on Versioning for Relational Databases	2017	VLDB	9.7120139e-05
4,034	TARDiS: A Branch-and-Merge Approach To Weak Consistency	2016	SIGMOD	6.5094325e-05
4,980	Interactive Query Synthesis from Input-Output Examples	2017	SIGMOD	5.7873101e-05
8,550	Entangled Transactions	2011	VLDB	4.4937074e-05

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