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Blink and It's Done: Interactive Queries on Very Large Data

Summary: BlinkDB is a massively parallel, sampling-based approximate query processing framework for interactive SPJA queries on petabyte-scale data, delivering real-time results with statistical error guarantees atop Hive/HDFS. Demonstrates up to 150x speedups vs Hive MR and 10-150x vs Shark on tens of terabytes across ~100 machines, with 2-10% error and fault-tolerant, scalable deployment. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10619
Venue
VLDB
Year
2012
Pagerank
0.00011582387
Overall Rank
1,227 | 91.59%
DOI
10.14778/2367502.2367527

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{agarwal_vldb12,
        title = {{Blink and It's Done: Interactive Queries on Very Large Data}},
        author = {Agarwal, Sameer and Panda, Aurojit and Mozafari, Barzan and Iyer, Anand P. and Madden, Samuel and Stoica, Ion},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {12},
        pages = {1902--1905},
        doi = {10.14778/2367502.2367527},
        url = {https://doi.org/10.14778/2367502.2367527},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 28 of 28 citing papers.

Rank Citing Paper Year Venue Pagerank
593 Wander Join: Online Aggregation via Random Walks 2016 SIGMOD 0.00016027871
772 VerdictDB: Universalizing Approximate Query Processing 2018 SIGMOD 0.00014147905
1,108 Approximate Query Processing: No Silver Bullet 2017 SIGMOD 0.00012145154
1,401 Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems 2014 SIGMOD 0.00010889902
1,472 M4: A Visualization-Oriented Time Series Data Aggregation 2014 VLDB 0.00010668946
1,995 Database Learning: Toward a Database that Becomes Smarter Every Time 2017 SIGMOD 9.3403665e-05
2,136 Combining User Interaction, Speculative Query Execution and Sampling in the DICE System 2014 VLDB 9.1126926e-05
2,540 Multi-Objective Parametric Query Optimization 2015 VLDB 8.45187e-05
2,559 dbTouch: Analytics at your Fingertips 2013 CIDR 8.4156672e-05
2,677 Explore-by-Example: An Automatic Query Steering Framework for Interactive Data Exploration 2014 SIGMOD 8.2682753e-05
2,868 SnappyData: A Unified Cluster for Streaming, Transactions, and Interactive Analytics 2017 CIDR 8.0156936e-05
3,532 Scalable Distributed Stream Join Processing 2015 SIGMOD 7.3369085e-05
3,741 Spatial Online Sampling and Aggregation 2016 VLDB 7.1586403e-05
3,964 Hyper Dimension Shuffle: Efficient Data Repartition at Petabyte Scale in SCOPE 2019 VLDB 6.9855158e-05
4,880 An Incremental Anytime Algorithm for Multi-Objective Query Optimization 2015 SIGMOD 6.4656221e-05
5,124 Approximation Schemes for Many-Objective Query Optimization 2014 SIGMOD 6.3567981e-05
5,222 CliffGuard: A Principled Framework for Finding Robust Database Designs 2015 SIGMOD 6.3103741e-05
5,700 SnappyData: A Hybrid Transactional Analytical Store Built On Spark 2016 SIGMOD 6.1167342e-05
5,743 Joins on Samples: A Theoretical Guide for Practitioners 2020 VLDB 6.1025457e-05
7,316 SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint 2025 SIGMOD 5.646695e-05
7,510 Continuous Prefetch for Interactive Data Applications 2020 VLDB 5.6029996e-05
7,866 Dscaler: Synthetically Scaling A Given Relational Database 2016 VLDB 5.5281143e-05
8,051 Wander Join: Online Aggregation for Joins 2016 SIGMOD 5.4997517e-05
8,831 A Fast Randomized Algorithm for Multi-Objective Query Optimization 2016 SIGMOD 5.3607984e-05
9,446 Parallelizing Query Optimization on Shared-Nothing Architectures 2016 VLDB 5.2667452e-05
9,727 Ziggy: Characterizing Query Results for Data Explorers 2016 VLDB 5.2297511e-05
11,916 Demonstration of VerdictDB, the Platform-Independent AQP System 2018 SIGMOD 5.093636e-05
12,112 STORM: Spatio-Temporal Online Reasoning and Management of Large Spatio-Temporal Data 2015 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

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