Just-In-Time Data Virtualization: Lightweight Data Management with ViDa
Summary: ViDa virtualizes heterogeneous raw data and executes queries without upfront ingestion by generating just-in-time query engines and operators that treat raw files as native storage. Adaptive per-query operators/caches and an expressive heterogeneous-data language enable dynamic optimization and integration of existing languages, avoiding static operators and costly data copies. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,700 | Filter Before You Parse: Faster Analytics on Raw Data with Sparser | 2018 | VLDB | 8.2728509e-05 |
| 2,838 | How to Architect a Query Compiler, Revisited | 2018 | SIGMOD | 8.0408472e-05 |
| 3,891 | Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing | 2017 | VLDB | 6.659442e-05 |
| 4,326 | Fast Queries Over Heterogeneous Data Through Engine Customization | 2016 | VLDB | 6.288323e-05 |
| 4,770 | The Case For Heterogeneous HTAP | 2017 | CIDR | 5.9338845e-05 |
| 5,402 | Towards Scalable Hybrid Stores: Constraint-Based Rewriting to the Rescue | 2019 | SIGMOD | 5.5278023e-05 |
| 7,237 | CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning | 2017 | VLDB | 4.7928651e-05 |
| 8,692 | Boosting Efficiency of External Pipelines by Blurring Application Boundaries | 2022 | CIDR | 4.4661967e-05 |
| 9,124 | Dynamic Speculative Optimizations for SQL Compilation in Apache Spark | 2020 | VLDB | 4.391961e-05 |
| 11,950 | Databases and Hardware: The Beginning and Sequel of a Beautiful Friendship | 2015 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 24 of 24 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,115 | Just-in-Time Information Extraction using Extraction Views | 2012 | SIGMOD | 4.1945683e-05 |
| 9,598 | Towards Database Virtualization for Database as a Service | 2013 | VLDB | 4.3191659e-05 |
| 9,447 | Towards Adaptive Storage Views in Virtual Memory | 2023 | CIDR | 4.3402941e-05 |
| 11,850 | Vectorizing an In Situ Query Engine | 2016 | SIGMOD | 4.1945683e-05 |
| 8,479 | Excalibur: A Virtual Machine for Adaptive Fine-grained JIT-Compiled Query Execution based on VOILA | 2023 | VLDB | 4.5014929e-05 |
| 8,980 | HADAD: A Lightweight Approach for Optimizing Hybrid Complex Analytics Queries | 2021 | SIGMOD | 4.4169807e-05 |
| 4,999 | Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources | 2017 | VLDB | 5.7752801e-05 |
| 7,384 | The VADA Architecture for Cost-Effective Data Wrangling | 2017 | SIGMOD | 4.7445719e-05 |
| 6,221 | Charting the Design Space of Query Execution using VOILA | 2021 | VLDB | 5.1512158e-05 |
| 3,548 | Adaptive Query Processing on RAW Data | 2014 | VLDB | 6.9859242e-05 |