Schema-Agnostic Indexing with Azure DocumentDB
Summary: Presents DocumentDB’s schema-agnostic, automatic indexing for JSON at Internet scale, eliminating secondary-index administration. Its distinctive design delivers real-time-consistent queries under intense updates while preserving predictable performance and tenant isolation under frugal resource budgets. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dharma Shukla (Microsoft)
- 2. Shireesh Thota (Microsoft)
- 3. Karthik Raman (Microsoft)
- 4. Madhan Gajendran (Microsoft)
- 5. Ankur Shah (Microsoft)
- 6. Sergii Ziuzin (Microsoft)
- 7. Krishnan Sundaram (Microsoft)
- 8. Miguel Gonzalez Guajardo (Microsoft)
- 9. Anna Wawrzyniak (Microsoft)
- 10. Samer Boshra (Microsoft)
- 11. Renato Ferreira (Microsoft)
- 12. Mohamed Nassar (Microsoft)
- 13. Michael Koltachev (Microsoft)
- 14. Ji Huang (Microsoft)
- 15. Sudipta Sengupta (Microsoft)
- 16. Justin Levandoski (Microsoft)
- 17. David Lomet (Microsoft)
BibTeX Citation
@article{shukla_vldb15,
title = {{Schema-Agnostic Indexing with Azure DocumentDB}},
author = {Shukla, Dharma and Thota, Shireesh and Raman, Karthik and Gajendran, Madhan and Shah, Ankur and Ziuzin, Sergii and Sundaram, Krishnan and Guajardo, Miguel Gonzalez and Wawrzyniak, Anna and Boshra, Samer and Ferreira, Renato and Nassar, Mohamed and Koltachev, Michael and Huang, Ji and Sengupta, Sudipta and Levandoski, Justin and Lomet, David},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {1668--1679},
doi = {10.14778/2824032.2824065},
url = {https://doi.org/10.14778/2824032.2824065},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,925 | POLARIS: The Distributed SQL Engine in Azure Synapse | 2020 | VLDB | 9.4764398e-05 |
| 4,058 | Fast Scans on Key-Value Stores | 2017 | VLDB | 6.9335663e-05 |
| 5,803 | An LSM-based Tuple Compaction Framework for Apache AsterixDB | 2020 | VLDB | 6.0841986e-05 |
| 6,529 | ArkDB: A Key-Value Engine for Scalable Cloud Storage Services | 2021 | SIGMOD | 5.8501325e-05 |
| 8,508 | JEDI: These aren't the JSON documents you're looking for... | 2022 | SIGMOD | 5.4123872e-05 |
| 8,799 | FishStore: Faster Ingestion with Subset Hashing | 2019 | SIGMOD | 5.369237e-05 |
| 8,872 | Cost-Effective, Low Latency Vector Search with Azure Cosmos DB | 2025 | VLDB | 5.35418e-05 |
| 9,711 | PNUTS to Sherpa: Lessons from Yahoo!’s Cloud Database | 2019 | VLDB | 5.2343601e-05 |
| 11,016 | AnalyticDB-PG: A Cloud-native High-performance Data Warehouse in Alibaba Cloud | 2025 | VLDB | 5.093636e-05 |
| 11,794 | Dynamic Interleaving of Content and Structure for Robust Indexing of Semi-Structured Hierarchical Data | 2020 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,461 | LLAMA: A Cache/Storage Subsystem for Modern Hardware | 2013 | VLDB | 0.00010703712 |
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