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Presto: A Decade of SQL Analytics at Meta

Summary: Meta's Presto is a decade-long, open-source distributed SQL engine for exabyte-scale analytics, optimized for low latency on elastic containers. Upgrades include hierarchical caching, vectorized execution, materialized views, and Presto on Spark, unifying analytics under one engine. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h0b99e3d78bf17016
Venue
SIGMOD
Year
2023
Pagerank
6.9668258e-05
Overall Rank
3,847 | 74.22%
DOI
10.1145/3589769

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{sun_sigmod23,
        title = {{Presto: A Decade of SQL Analytics at Meta}},
        author = {Sun, Yutian "James" and Meehan, Tim and Schlussel, Rebecca and Xie, Wenlei and Basmanova, Masha and Erling, Orri and Rosa, Andrii and Fan, Shixuan and Zhong, Rongrong and Thirupathi, Arun and Collooru, Nikhil and Wang, Ke and Agarwal, Sameer and Gupta, Arjun and Logothetis, Dionysios and Xirogiannopoulos, Kostas and Dutta, Amit and Gajjala, Varun and Jain, Rohit and Palakuzhy, Ajay and Pandian, Prithvi and Pershin, Sergey and Saikia, Abhisek and Shankhdhar, Pranjal and Somanchi, Neerad and Tailor, Swapnil and Tan, Jialiang and Viswanadha, Sreeni and Wen, Zac and Chattopadhyay, Biswapesh and Fan, Bin and Majeti, Deepak and Pandit, Aditi},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3589769},
        url = {https://dl.acm.org/doi/10.1145/3589769},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 22 of 22 citing papers.

Rank Citing Paper Year Venue Pagerank
5,367 Adaptive and Robust Query Execution for Lakehouses at Scale 2024 VLDB 6.1462017e-05
6,688 Composable Data Management: An Execution Overview 2024 VLDB 5.6925768e-05
8,026 A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning 2024 VLDB 5.3884724e-05
8,291 Accelerate Distributed Joins with Predicate Transfer 2025 SIGMOD 5.3445863e-05
9,031 ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation 2024 SIGMOD 5.219814e-05
9,141 Presto’s History-based Query Optimizer 2024 VLDB 5.2078543e-05
9,662 Low Rank Learning for Offline Query Optimization 2025 SIGMOD 5.1283524e-05
10,119 LiquidCache: Efficient Pushdown Caching for Cloud-Native Data Analytics 2025 VLDB 5.0638787e-05
10,341 Simple (yet Efficient) Function Authoring for Vectorized Engines 2024 VLDB 5.0210286e-05
10,347 Intra-Query Runtime Elasticity for Cloud-Native Data Analysis 2025 SIGMOD 5.0195882e-05
10,429 Survivorship Bias in Industrial Database Workloads 2026 CIDR 4.9605343e-05
10,525 EncoderForge: Generating Efficient SQL for Encoders in Machine Learning Inference Pipelines 2026 SIGMOD 4.9605343e-05
10,744 PTO: A Workload-driven Predictive Table Optimizer for Lakehouse Systems 2026 SIGMOD 4.9605343e-05
10,971 Overlay Bitmap Encoding for Efficient Consumption of Apache Parquet Files 2026 VLDB 4.9605343e-05
10,981 Hermes at Scale: Powering Distributed Queries with a Unified Memory Fabric 2026 VLDB 4.9605343e-05
10,985 Reaching the Pinnacle of TPC-DS: Co-design of Architecture, Executor, and Storage in TDSQL 2026 VLDB 4.9605343e-05
10,987 No Silver Bullet: Boosting GaussDB Performance on the 30TB TPC-H Workload 2026 VLDB 4.9605343e-05
11,012 One Ring to Shuffle Them All: Scalable Intra-Process Data Redistribution with Ring-Buffer Shuffle in Redpanda Oxla 2026 VLDB 4.9605343e-05
11,014 From Presto to Prestissimo: A Velox-Powered Modernization Journey 2026 VLDB 4.9605343e-05
11,350 AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines 2025 VLDB 4.9605343e-05
11,431 Scribe: How Meta transports terabytes per second in real time 2025 VLDB 4.9605343e-05
11,505 LASER: Buffer-Aware Learned Query Scheduling in Master-Standby Databases 2025 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 cited papers.

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

Rank Cited Paper Year Venue Pagerank
7 Implementation Techniques For Main Memory Database Systems 1984 SIGMOD 0.00081781676
23 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00055523999
49 Dremel: Interactive Analysis of Web-Scale Datasets 2010 VLDB 0.00043085722
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041439488
71 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00037688945
392 One Trillion Edges: Graph Processing at Facebook-Scale 2015 VLDB 0.0001917435
420 Cypher: An Evolving Query Language for Property Graphs 2018 SIGMOD 0.00018489392
462 Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores 2020 VLDB 0.00017825062
651 Amazon Redshift Re-invented 2022 SIGMOD 0.00015126716
854 G-CORE: A Core for Future Graph Query Languages 2018 SIGMOD 0.00013432811
1,134 Dremel: A Decade of Interactive SQL Analysis at Web Scale 2020 VLDB 0.00011863043
1,387 Procella: Unifying serving and analytical data at YouTube 2019 VLDB 0.0001080904
1,415 Velox: Meta's Unified Execution Engine 2022 VLDB 0.00010707308
1,428 Graph Pattern Matching in GQL and SQL/PGQ 2022 SIGMOD 0.000106884
1,488 Photon: A Fast Query Engine for Lakehouse Systems 2022 SIGMOD 0.00010487094
2,831 F1 Query: Declarative Querying at Scale 2018 VLDB 7.945337e-05
3,853 Alibaba Hologres: A Cloud-Native Service for Hybrid Serving/Analytical Processing 2020 VLDB 6.9597694e-05
6,290 Shared Foundations: Modernizing Meta's Data Lakehouse 2023 CIDR 5.8051881e-05
8,302 Cubrick: Indexing Millions of Records per Second for Interactive Analytics 2016 VLDB 5.3430752e-05
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