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Procella: Unifying serving and analytical data at YouTube

Summary: Procella unifies dashboards, embedded metrics, monitoring, and ad-hoc analytics in one SQL engine, replacing workload-specific silos. It serves fresh data at millisecond latency and high QPS while supporting complex queries over trillions of rows, reaching hundreds of billions of queries daily. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12111
Venue
VLDB
Year
2019
Pagerank
0.00010577585
Overall Rank
1,494 | 89.76%
DOI
10.14778/3352063.3352121

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chattopadhyay_vldb19,
        title = {{Procella: Unifying serving and analytical data at YouTube}},
        author = {Chattopadhyay, Biswapesh and Dutta, Priyam and Liu, Weiran and Tinn, Ott and Mccormick, Andrew and Mokashi, Aniket and Harvey, Paul and Gonzalez, Hector and Lomax, David and Mittal, Sagar and Ebenstein, Roee and Mikhaylin, Nikita and Lee, Hung-ching and Zhao, Xiaoyan and Xu, Tony and Perez, Luis and Shahmohammadi, Farhad and Bui, Tran and McKay, Neil and Aya, Selcuk and Lychagina, Vera and Elliott, Brett},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {12},
        pages = {2022--2034},
        doi = {10.14778/3352063.3352121},
        url = {https://doi.org/10.14778/3352063.3352121},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 26 of 26 citing papers.

Rank Citing Paper Year Venue Pagerank
1,453 Dremel: A Decade of Interactive SQL Analysis at Web Scale 2020 VLDB 0.00010742227
2,972 F1 Lightning: HTAP as a Service 2020 VLDB 7.9114157e-05
3,269 ALP: Adaptive Lossless floating-Point Compression 2023 SIGMOD 7.5809516e-05
3,592 The FastLanes Compression Layout: Decoding >100 Billion Integers per Second with Scalar Code 2023 VLDB 7.2774889e-05
3,692 Db2 Event Store: A Purpose-Built IoT Database Engine 2020 VLDB 7.199318e-05
3,877 An Empirical Evaluation of Columnar Storage Formats 2024 VLDB 7.0532293e-05
4,017 Napa: Powering Scalable Data Warehousing with Robust Query Performance at Google 2021 VLDB 6.9525581e-05
4,335 Adaptive HTAP through Elastic Resource Scheduling 2020 SIGMOD 6.7556868e-05
4,367 SQL Has Problems. We Can Fix Them: Pipe Syntax In SQL 2024 VLDB 6.7395125e-05
4,649 BigLake: BigQuery’s Evolution toward a Multi-Cloud Lakehouse 2024 SIGMOD 6.586622e-05
4,705 Presto: A Decade of SQL Analytics at Meta 2023 SIGMOD 6.5529421e-05
5,097 Cloud-Native Transactions and Analytics in SingleStore 2022 SIGMOD 6.3652447e-05
7,213 Scalable Multi-Query Execution using Reinforcement Learning 2021 SIGMOD 5.670422e-05
7,285 Bullion: A Column Store for Machine Learning 2025 CIDR 5.6559604e-05
7,915 Krypton: Real-time Serving and Analytical SQL Engine at ByteDance 2023 VLDB 5.5181056e-05
9,038 The FastLanes File Format 2025 VLDB 5.3270943e-05
9,157 Meta's Next-generation Realtime Monitoring and Analytics Platform 2022 VLDB 5.3115153e-05
10,063 Keep Your Distributed Data Warehouse Consistent at a Minimal Cost 2023 SIGMOD 5.1650158e-05
10,128 Survivorship Bias in Industrial Database Workloads 2026 CIDR 5.093636e-05
10,509 FlatStor: An Efficient Embedded-Index Based Columnar Data Layout for Multimodal Data Workloads 2026 VLDB 5.093636e-05
10,662 Data Chunk Compaction in Vectorized Execution 2025 SIGMOD 5.093636e-05
11,000 Unlocking the Power of CI/CD for Data Pipelines in Distributed Data Warehouses 2025 VLDB 5.093636e-05
11,296 Simple (yet Efficient) Function Authoring for Vectorized Engines 2024 VLDB 5.093636e-05
11,399 QaaD (Query-as-a-Data): Scalable Execution of Massive Number of Small Queries in Spark 2023 SIGMOD 5.093636e-05
11,413 SH2O: Efficient Data Access for Work-Sharing Databases 2023 SIGMOD 5.093636e-05
11,683 Real-time Data Infrastructure at Uber 2021 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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

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