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Towards Unifying Query Interpretation and Compilation

Summary: Positions unifying vectorized interpretation (developer-friendly) and query compilation (better locality and runtime performance but high startup latency and system complexity) as key for modern execution engines. Discusses two fundamental barriers: startup overhead and engineering complexity. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
482
Venue
CIDR
Year
2023
Pagerank
4.269353e-05
Overall Rank
9,857 | 31.43%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
7,214 Showcasing Data Management Challenges for Future IoT Applications with NebulaStream 2023 VLDB 4.7988365e-05
10,372 Data Chunk Compaction in Vectorized Execution 2025 SIGMOD 4.1945683e-05
10,962 Fault Tolerance Placement in the Internet of Things 2024 SIGMOD 4.1945683e-05
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Showing 6 of 6 cited papers.

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

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