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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
6.9931698e-05
Overall Rank
3,835 | 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
5,348 Adaptive and Robust Query Execution for Lakehouses at Scale 2024 VLDB 6.1690434e-05
6,670 Composable Data Management: An Execution Overview 2024 VLDB 5.7141674e-05
8,004 A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning 2024 VLDB 5.4089097e-05
8,269 Accelerate Distributed Joins with Predicate Transfer 2025 SIGMOD 5.3648571e-05
9,012 ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation 2024 SIGMOD 5.2375369e-05
9,113 Presto’s History-based Query Optimizer 2024 VLDB 5.2276066e-05
9,670 Low Rank Learning for Offline Query Optimization 2025 SIGMOD 5.1452097e-05
10,080 LiquidCache: Efficient Pushdown Caching for Cloud-Native Data Analytics 2025 VLDB 5.0830849e-05
10,306 Simple (yet Efficient) Function Authoring for Vectorized Engines 2024 VLDB 5.0400722e-05
10,309 Intra-Query Runtime Elasticity for Cloud-Native Data Analysis 2025 SIGMOD 5.0386264e-05
10,350 Survivorship Bias in Industrial Database Workloads 2026 CIDR 4.9793485e-05
10,448 EncoderForge: Generating Efficient SQL for Encoders in Machine Learning Inference Pipelines 2026 SIGMOD 4.9793485e-05
10,672 PTO: A Workload-driven Predictive Table Optimizer for Lakehouse Systems 2026 SIGMOD 4.9793485e-05
10,901 Overlay Bitmap Encoding for Efficient Consumption of Apache Parquet Files 2026 VLDB 4.9793485e-05
10,911 Hermes at Scale: Powering Distributed Queries with a Unified Memory Fabric 2026 VLDB 4.9793485e-05
10,915 Reaching the Pinnacle of TPC-DS: Co-design of Architecture, Executor, and Storage in TDSQL 2026 VLDB 4.9793485e-05
10,917 No Silver Bullet: Boosting GaussDB Performance on the 30TB TPC-H Workload 2026 VLDB 4.9793485e-05
10,942 One Ring to Shuffle Them All: Scalable Intra-Process Data Redistribution with Ring-Buffer Shuffle in Redpanda Oxla 2026 VLDB 4.9793485e-05
10,944 From Presto to Prestissimo: A Velox-Powered Modernization Journey 2026 VLDB 4.9793485e-05
11,287 AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines 2025 VLDB 4.9793485e-05
11,372 Scribe: How Meta transports terabytes per second in real time 2025 VLDB 4.9793485e-05
11,447 LASER: Buffer-Aware Learned Query Scheduling in Master-Standby Databases 2025 VLDB 4.9793485e-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 0.00081992507
23 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00055406774
49 Dremel: Interactive Analysis of Web-Scale Datasets 2010 VLDB 0.00043160717
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041219077
71 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00037720227
394 One Trillion Edges: Graph Processing at Facebook-Scale 2015 VLDB 0.00019191286
419 Cypher: An Evolving Query Language for Property Graphs 2018 SIGMOD 0.0001854669
459 Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores 2020 VLDB 0.00017856221
680 Amazon Redshift Re-invented 2022 SIGMOD 0.00014828697
860 G-CORE: A Core for Future Graph Query Languages 2018 SIGMOD 0.00013406849
1,135 Dremel: A Decade of Interactive SQL Analysis at Web Scale 2020 VLDB 0.00011891907
1,423 Procella: Unifying serving and analytical data at YouTube 2019 VLDB 0.00010719956
1,424 Velox: Meta's Unified Execution Engine 2022 VLDB 0.00010719232
1,487 Photon: A Fast Query Engine for Lakehouse Systems 2022 SIGMOD 0.00010521722
1,494 Graph Pattern Matching in GQL and SQL/PGQ 2022 SIGMOD 0.00010502195
2,915 F1 Query: Declarative Querying at Scale 2018 VLDB 7.8616593e-05
3,846 Alibaba Hologres: A Cloud-Native Service for Hybrid Serving/Analytical Processing 2020 VLDB 6.9851711e-05
6,275 Shared Foundations: Modernizing Meta's Data Lakehouse 2023 CIDR 5.8270783e-05
8,281 Cubrick: Indexing Millions of Records per Second for Interactive Analytics 2016 VLDB 5.3633335e-05
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