Photon: A High-Performance Query Engine for the Lakehouse
Summary: Photon: a native vectorized query engine in Databricks Runtime delivering state-of-the-art query latency and industry-leading price/performance. Runs in situ over Parquet and Delta on object stores (S3/ADLS/GCS) and exposes SQL + Spark DataFrame APIs. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Alexander Behm (Databricks)
BibTeX Citation
@inproceedings{behm_cidr22,
address = {Amsterdam, Netherlands},
series = {{CIDR} '22},
title = {{Photon: A High-Performance Query Engine for the Lakehouse}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Behm, Alexander},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,823 | Query Processing on Tensor Computation Runtimes | 2022 | VLDB | 8.0893814e-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 |
|---|---|---|---|---|
| 1,138 | Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics | 2021 | CIDR | 0.00012023643 |
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