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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
6.9899256e-05
Overall Rank
3,835 | 74.23%
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
5,354 Adaptive and Robust Query Execution for Lakehouses at Scale 2024 VLDB 6.1661231e-05
6,675 Composable Data Management: An Execution Overview 2024 VLDB 5.7114624e-05
8,009 A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning 2024 VLDB 5.4063491e-05
8,275 Accelerate Distributed Joins with Predicate Transfer 2025 SIGMOD 5.3623175e-05
9,010 ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation 2024 SIGMOD 5.2371313e-05
9,122 Presto’s History-based Query Optimizer 2024 VLDB 5.2251319e-05
9,635 Low Rank Learning for Offline Query Optimization 2025 SIGMOD 5.1453041e-05
10,085 LiquidCache: Efficient Pushdown Caching for Cloud-Native Data Analytics 2025 VLDB 5.0806786e-05
10,313 Simple (yet Efficient) Function Authoring for Vectorized Engines 2024 VLDB 5.0376863e-05
10,319 Intra-Query Runtime Elasticity for Cloud-Native Data Analysis 2025 SIGMOD 5.0362412e-05
10,362 Survivorship Bias in Industrial Database Workloads 2026 CIDR 4.9769913e-05
10,459 EncoderForge: Generating Efficient SQL for Encoders in Machine Learning Inference Pipelines 2026 SIGMOD 4.9769913e-05
10,683 PTO: A Workload-driven Predictive Table Optimizer for Lakehouse Systems 2026 SIGMOD 4.9769913e-05
10,910 Overlay Bitmap Encoding for Efficient Consumption of Apache Parquet Files 2026 VLDB 4.9769913e-05
10,920 Hermes at Scale: Powering Distributed Queries with a Unified Memory Fabric 2026 VLDB 4.9769913e-05
10,924 Reaching the Pinnacle of TPC-DS: Co-design of Architecture, Executor, and Storage in TDSQL 2026 VLDB 4.9769913e-05
10,926 No Silver Bullet: Boosting GaussDB Performance on the 30TB TPC-H Workload 2026 VLDB 4.9769913e-05
10,951 One Ring to Shuffle Them All: Scalable Intra-Process Data Redistribution with Ring-Buffer Shuffle in Redpanda Oxla 2026 VLDB 4.9769913e-05
10,953 From Presto to Prestissimo: A Velox-Powered Modernization Journey 2026 VLDB 4.9769913e-05
11,295 AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines 2025 VLDB 4.9769913e-05
11,378 Scribe: How Meta transports terabytes per second in real time 2025 VLDB 4.9769913e-05
11,453 LASER: Buffer-Aware Learned Query Scheduling in Master-Standby Databases 2025 VLDB 4.9769913e-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 0.00081971778
23 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00055384955
49 Dremel: Interactive Analysis of Web-Scale Datasets 2010 VLDB 0.0004314366
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041210636
71 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00037724477
394 One Trillion Edges: Graph Processing at Facebook-Scale 2015 VLDB 0.00019182322
419 Cypher: An Evolving Query Language for Property Graphs 2018 SIGMOD 0.00018537915
460 Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores 2020 VLDB 0.00017850215
681 Amazon Redshift Re-invented 2022 SIGMOD 0.0001482366
860 G-CORE: A Core for Future Graph Query Languages 2018 SIGMOD 0.00013401414
1,135 Dremel: A Decade of Interactive SQL Analysis at Web Scale 2020 VLDB 0.00011886308
1,423 Procella: Unifying serving and analytical data at YouTube 2019 VLDB 0.00010715412
1,424 Velox: Meta's Unified Execution Engine 2022 VLDB 0.00010714183
1,487 Photon: A Fast Query Engine for Lakehouse Systems 2022 SIGMOD 0.00010516813
1,494 Graph Pattern Matching in GQL and SQL/PGQ 2022 SIGMOD 0.00010497226
2,916 F1 Query: Declarative Querying at Scale 2018 VLDB 7.8581972e-05
3,847 Alibaba Hologres: A Cloud-Native Service for Hybrid Serving/Analytical Processing 2020 VLDB 6.9818676e-05
6,278 Shared Foundations: Modernizing Meta's Data Lakehouse 2023 CIDR 5.8243198e-05
8,287 Cubrick: Indexing Millions of Records per Second for Interactive Analytics 2016 VLDB 5.3607982e-05
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