Helios: Hyperscale Indexing for the Cloud & Edge
Summary: Helios is a hyperscale cloud/edge indexing system that feeds real-time streams into relational engines. It ingests quadrillions of events and indexes trillions of keys daily across dozens of data centers, using a simple data model and asynchronous indexing - a scalable blueprint for Microsoft-scale analytics. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rahul Potharaju (Microsoft)
- 2. Terry Kim (Microsoft)
- 3. Wentao Wu (Microsoft)
- 4. Vidip Acharya (Microsoft)
- 5. Steve Suh (Microsoft)
- 6. Andrew Fogarty (Microsoft)
- 7. Apoorve Dave (Microsoft)
- 8. Sinduja Ramanujam (Microsoft)
- 9. Tomas Talius (Microsoft)
- 10. Lev Novik (Microsoft)
- 11. Raghu Ramakrishnan (Microsoft)
BibTeX Citation
@article{potharaju_vldb20,
title = {{Helios: Hyperscale Indexing for the Cloud \& Edge}},
author = {Potharaju, Rahul and Kim, Terry and Wu, Wentao and Acharya, Vidip and Suh, Steve and Fogarty, Andrew and Dave, Apoorve and Ramanujam, Sinduja and Talius, Tomas and Novik, Lev and Ramakrishnan, Raghu},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {3231--3244},
doi = {10.14778/3415478.3415547},
url = {https://doi.org/10.14778/3415478.3415547},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,248 | The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward | 2021 | VLDB | 5.8345657e-05 |
| 9,098 | Hyperspace: The Indexing Subsystem of Azure Synapse | 2021 | VLDB | 5.2258409e-05 |
| 11,277 | LogCloud: Fast Search of Compressed Logs on Object Storage | 2025 | VLDB | 4.9769913e-05 |
| 11,996 | Real-time Data Infrastructure at Uber | 2021 | SIGMOD | 4.9769913e-05 |
| 12,039 | Tanium Reveal: A Federated Search Engine for Querying Unstructured File Data on Large Enterprise Networks | 2021 | VLDB | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 26 of 26 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,248 | The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward | 2021 | VLDB |
| 2 | 4,820 | Continuous Cloud-Scale Query Optimization and Processing | 2013 | VLDB |
| 3 | 9,039 | Cost-Effective, Low Latency Vector Search with Azure Cosmos DB | 2025 | VLDB |
| 4 | 5,899 | HydraList: A Scalable In-Memory Index Using Asynchronous Updates and Partial Replication | 2020 | VLDB |
| 5 | 3,469 | Schema-Agnostic Indexing with Azure DocumentDB | 2015 | VLDB |
| 6 | 9,773 | A Framework for Supporting DBMS-like Indexes in the Cloud | 2011 | VLDB |
| 7 | 5,134 | Holistic Indexing in Main-memory Column-stores | 2015 | SIGMOD |
| 8 | 1,516 | Automatically Indexing Millions of Databases in Microsoft Azure SQL Database | 2019 | SIGMOD |
| 9 | 9,098 | Hyperspace: The Indexing Subsystem of Azure Synapse | 2021 | VLDB |
| 10 | 12,152 | Helios: An Adaptive and Query Workload-driven Partitioning Framework for Distributed Graph Stores | 2019 | SIGMOD |