Vortex: A Stream-oriented Storage Engine For Big Data Analytics
Summary: Vortex is a stream-oriented storage engine in Google BigQuery for real-time analytics on continuous data. It supports both streaming and batch workloads, delivering petabyte-scale ingestion with sub-second freshness and low-latency queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Pavan Edara
- 2. Jonathan Forbes
- 3. Bigang Li
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,397 | BigLake: BigQuery’s Evolution toward a Multi-Cloud Lakehouse | 2024 | SIGMOD | 5.0749432e-05 |
| 10,772 | Scribe: How Meta transports terabytes per second in real time | 2025 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 109 | Dremel: Interactive Analysis of Web-Scale Datasets | 2010 | VLDB | 0.00048217028 |
| 132 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD | 0.00043697853 |
| 367 | Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing | 1998 | VLDB | 0.00025518228 |
| 536 | The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing | 2015 | VLDB | 0.00020651621 |
| 2,060 | Dremel: A Decade of Interactive SQL Analysis at Web Scale | 2020 | VLDB | 9.6585115e-05 |
| 4,327 | Big Metadata: When Metadata is Big Data | 2021 | VLDB | 6.2765351e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,546 | Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark | 2018 | SIGMOD | 0.00011418993 |
| 3,335 | SnappyData: A Unified Cluster for Streaming, Transactions, and Interactive Analytics | 2017 | CIDR | 7.2023806e-05 |
| 7,578 | Squall: Scalable Real-time Analytics | 2016 | VLDB | 4.702646e-05 |
| 11,673 | Cost-Effective, Workload-Adaptive Migration of Big Data Applications to the Cloud | 2019 | SIGMOD | 4.1905499e-05 |
| 4,327 | Big Metadata: When Metadata is Big Data | 2021 | VLDB | 6.2765351e-05 |
| 1,818 | A Demonstration of the BigDAWG Polystore System | 2015 | VLDB | 0.00010418381 |
| 6,128 | Data Ingestion for the Connected World | 2017 | CIDR | 5.1943896e-05 |
| 9,505 | Supporting Scalable Analytics with Latency Constraints | 2015 | VLDB | 4.3300131e-05 |
| 6,397 | BigLake: BigQuery’s Evolution toward a Multi-Cloud Lakehouse | 2024 | SIGMOD | 5.0749432e-05 |
| 6,451 | Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics | 2025 | VLDB | 5.0522576e-05 |