Pinot: Realtime OLAP for 530 Million Users
Summary: Pinot: realtime OLAP for 530M users. Production-grade single system from LinkedIn delivering near-realtime streaming ingestion, tens of thousands of analytical queries/sec, and nonstop operation, with a performance comparison to Druid. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jean-François Im (LinkedIn)
- 2. Kishore Gopalakrishna (LinkedIn)
- 3. Subbu Subramaniam (LinkedIn)
- 4. Mayank Shrivastava (LinkedIn)
- 5. Adwait Tumbde (LinkedIn)
- 6. Xiaotian Jiang (LinkedIn)
- 7. Jennifer Dai (LinkedIn)
- 8. Seunghyun Lee (LinkedIn)
- 9. Neha Pawar (LinkedIn)
- 10. Jialiang Li (LinkedIn)
- 11. Ravi Aringunram (LinkedIn)
BibTeX Citation
@inproceedings{im_sigmod18,
title = {{Pinot: Realtime OLAP for 530 Million Users}},
author = {Im, Jean-François and Gopalakrishna, Kishore and Subramaniam, Subbu and Shrivastava, Mayank and Tumbde, Adwait and Jiang, Xiaotian and Dai, Jennifer and Lee, Seunghyun and Pawar, Neha and Li, Jialiang and Aringunram, Ravi},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3190661},
url = {https://dl.acm.org/doi/10.1145/3183713.3190661},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,559 | Cloud-Native Database Systems at Alibaba: Opportunities and Challenges | 2019 | VLDB | 0.00010362456 |
| 2,563 | AnalyticDB: Real-time OLAP Database System at Alibaba Cloud | 2019 | VLDB | 8.412445e-05 |
| 3,653 | ClickHouse - Lightning Fast Analytics for Everyone | 2024 | VLDB | 7.2241143e-05 |
| 4,102 | Alibaba Hologres: A Cloud-Native Service for Hybrid Serving/Analytical Processing | 2020 | VLDB | 6.8993947e-05 |
| 4,632 | LogStore: A Cloud-Native and Multi-Tenant Log Database | 2021 | SIGMOD | 6.5938641e-05 |
| 6,028 | Hillview: A trillion-cell spreadsheet for big data | 2019 | VLDB | 6.0019322e-05 |
| 7,915 | Krypton: Real-time Serving and Analytical SQL Engine at ByteDance | 2023 | VLDB | 5.5181056e-05 |
| 8,616 | CoopStore: Optimizing Precomputed Summaries for Aggregation | 2020 | VLDB | 5.4004741e-05 |
| 9,157 | Meta's Next-generation Realtime Monitoring and Analytics Platform | 2022 | VLDB | 5.3115153e-05 |
| 11,683 | Real-time Data Infrastructure at Uber | 2021 | SIGMOD | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,017 | Napa: Powering Scalable Data Warehousing with Robust Query Performance at Google | 2021 | VLDB |
| 2 | 3,653 | ClickHouse - Lightning Fast Analytics for Everyone | 2024 | VLDB |
| 3 | 3,082 | Analytics in Motion: High Performance Event-Processing AND Real-Time Analytics in the Same Database | 2015 | SIGMOD |
| 4 | 6,734 | Liquid: Unifying Nearline and Offline Big Data Integration | 2015 | CIDR |
| 5 | 5,747 | PIQL: A Performance Insightful Query Language | 2010 | SIGMOD |
| 6 | 2,583 | Towards Scalable Real-time Analytics: An Architecture for Scale-out of OLxP Workloads | 2015 | VLDB |
| 7 | 4,892 | Fast In-Memory SQL Analytics on Typed Graphs | 2017 | VLDB |
| 8 | 2,563 | AnalyticDB: Real-time OLAP Database System at Alibaba Cloud | 2019 | VLDB |
| 9 | 3,658 | P*TIME: Highly Scalable OLTP DBMS for Managing Update-Intensive Stream Workload | 2004 | VLDB |
| 10 | 7,470 | Avatara: OLAP for Web-scale Analytics Products | 2012 | VLDB |