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Procella: Unifying serving and analytical data at YouTube
Summary: Procella unifies serving and analytics in a single SQL engine, enabling reporting, dashboards, embedded stats, and time-series monitoring without silos. A YouTube-scale SQL engine handling hundreds of billions of queries daily in a single product.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 11923
- Venue
- VLDB
- Year
- 2019
- Pagerank
- 0.00010012569
- Overall Rank
- 1,943 | 86.49%
- DOI
-
10.14778/3352063.3352121
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 26 of 26 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 2,062 |
Dremel: A Decade of Interactive SQL Analysis at Web Scale |
2020 |
VLDB |
9.6481955e-05 |
| 3,768 |
F1 Lightning: HTAP as a Service |
2020 |
VLDB |
6.7782774e-05 |
| 4,242 |
Db2 Event Store: A Purpose-Built IoT Database Engine |
2020 |
VLDB |
6.3315241e-05 |
| 4,507 |
ALP: Adaptive Lossless floating-Point Compression |
2023 |
SIGMOD |
6.131017e-05 |
| 4,514 |
An Empirical Evaluation of Columnar Storage Formats |
2024 |
VLDB |
6.1204636e-05 |
| 4,518 |
The FastLanes Compression Layout: Decoding >100 Billion Integers per Second with Scalar Code |
2023 |
VLDB |
6.117844e-05 |
| 4,670 |
Napa: Powering Scalable Data Warehousing with Robust Query Performance at Google |
2021 |
VLDB |
6.0104466e-05 |
| 5,005 |
Adaptive HTAP through Elastic Resource Scheduling |
2020 |
SIGMOD |
5.7641797e-05 |
| 5,012 |
SQL Has Problems. We Can Fix Them: Pipe Syntax In SQL |
2024 |
VLDB |
5.7599595e-05 |
| 5,531 |
Presto: A Decade of SQL Analytics at Meta |
2023 |
SIGMOD |
5.4549499e-05 |
| 5,678 |
Cloud-Native Transactions and Analytics in SingleStore |
2022 |
SIGMOD |
5.3746593e-05 |
| 6,402 |
BigLake: BigQuery’s Evolution toward a Multi-Cloud Lakehouse |
2024 |
SIGMOD |
5.079818e-05 |
| 7,461 |
Scalable Multi-Query Execution using Reinforcement Learning |
2021 |
SIGMOD |
4.723898e-05 |
| 7,469 |
Bullion: A Column Store for Machine Learning |
2025 |
CIDR |
4.7204398e-05 |
| 7,492 |
Krypton: Real-time Serving and Analytical SQL Engine at ByteDance |
2023 |
VLDB |
4.7180617e-05 |
| 9,111 |
Meta's Next-generation Realtime Monitoring and Analytics Platform |
2022 |
VLDB |
4.3942367e-05 |
| 9,645 |
The FastLanes File Format |
2025 |
VLDB |
4.3109001e-05 |
| 9,908 |
Keep Your Distributed Data Warehouse Consistent at a Minimal Cost |
2023 |
SIGMOD |
4.2576943e-05 |
| 9,981 |
Survivorship Bias in Industrial Database Workloads |
2026 |
CIDR |
4.1945683e-05 |
| 10,220 |
FlatStor: An Efficient Embedded-Index Based Columnar Data Layout for Multimodal Data Workloads |
2026 |
VLDB |
4.1945683e-05 |
| 10,372 |
Data Chunk Compaction in Vectorized Execution |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,771 |
Unlocking the Power of CI/CD for Data Pipelines in Distributed Data Warehouses |
2025 |
VLDB |
4.1945683e-05 |
| 11,090 |
Simple (yet Efficient) Function Authoring for Vectorized Engines |
2024 |
VLDB |
4.1945683e-05 |
| 11,197 |
QaaD (Query-as-a-Data): Scalable Execution of Massive Number of Small Queries in Spark |
2023 |
SIGMOD |
4.1945683e-05 |
| 11,212 |
SH2O: Efficient Data Access for Work-Sharing Databases |
2023 |
SIGMOD |
4.1945683e-05 |
| 11,485 |
Real-time Data Infrastructure at Uber |
2021 |
SIGMOD |
4.1945683e-05 |
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.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 66 |
Spark SQL: Relational Data Processing in Spark |
2015 |
SIGMOD |
0.00061639801 |
| 109 |
Dremel: Interactive Analysis of Web-Scale Datasets |
2010 |
VLDB |
0.00048186983 |
| 131 |
Integrating Compression and Execution in Column-Oriented Database Systems |
2006 |
SIGMOD |
0.0004370331 |
| 158 |
Automated Selection of Materialized Views and Indexes for SQL Databases |
2000 |
VLDB |
0.00040071492 |
| 167 |
The Snowflake Elastic Data Warehouse |
2016 |
SIGMOD |
0.00039180521 |
| 210 |
Gorilla: A Fast, Scalable, In-Memory Time Series Database |
2015 |
VLDB |
0.0003404384 |
| 426 |
Amazon Redshift and the Case for Simpler Data Warehouses |
2015 |
SIGMOD |
0.00023594359 |
| 958 |
Rethinking SIMD Vectorization for In-Memory Databases |
2015 |
SIGMOD |
0.00015045316 |
| 1,470 |
Processing a Trillion Cells per Mouse Click |
2012 |
VLDB |
0.00011833779 |
| 1,588 |
Druid: A Real-time Analytical Data Store |
2014 |
SIGMOD |
0.00011239313 |
| 1,814 |
Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing |
2014 |
VLDB |
0.00010458107 |
| 2,331 |
Orion 2.0: Native Support for Uncertain Data |
2008 |
SIGMOD |
9.018559e-05 |
| 3,355 |
F1 Query: Declarative Querying at Scale |
2018 |
VLDB |
7.1829142e-05 |
| 3,443 |
Distributed Join Algorithms on Thousands of Cores |
2017 |
VLDB |
7.0887214e-05 |
| 4,132 |
Advanced Join Strategies for Large-Scale Distributed Computation |
2014 |
VLDB |
6.4241067e-05 |
| 5,644 |
FluxQuery: An Execution Framework for Highly Interactive Query Workloads |
2016 |
SIGMOD |
5.3924275e-05 |
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Presto: A Decade of SQL Analytics at Meta |
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| 4,670 |
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