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F1 Lightning: HTAP as a Service
Summary: F1 Lightning delivers HTAP-as-a-service for coexisting transactional and analytical workloads over existing systems. It replaces greenfield HTAP with a federated, transparent query/transaction layer, detailing design and production experience at Google.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12212
- Venue
- VLDB
- Year
- 2020
- Pagerank
- 6.7762323e-05
- Overall Rank
- 3,764 | 73.85%
- DOI
-
10.14778/3415478.3415553
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 25 of 25 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 2,060 |
Dremel: A Decade of Interactive SQL Analysis at Web Scale |
2020 |
VLDB |
9.6585115e-05 |
| 2,693 |
Greenplum: A Hybrid Database for Transactional and Analytical Workloads |
2021 |
SIGMOD |
8.2845883e-05 |
| 3,641 |
OceanBase: A 707 Million tpmC Distributed Relational Database System |
2022 |
VLDB |
6.8877808e-05 |
| 4,659 |
Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store |
2021 |
SIGMOD |
6.0076537e-05 |
| 5,853 |
ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency |
2022 |
VLDB |
5.2982336e-05 |
| 6,154 |
PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba |
2023 |
SIGMOD |
5.1795738e-05 |
| 6,274 |
Diva: Making MVCC Systems HTAP-Friendly |
2022 |
SIGMOD |
5.1268676e-05 |
| 6,399 |
HyBench: A New Benchmark for HTAP Databases |
2024 |
VLDB |
5.0740852e-05 |
| 6,488 |
FILM: a Fully Learned Index for Larger-than-Memory Databases |
2023 |
VLDB |
5.0378878e-05 |
| 6,518 |
How Good is My HTAP System? |
2022 |
SIGMOD |
5.0250374e-05 |
| 6,788 |
Proteus: Autonomous Adaptive Storage for Mixed Workloads |
2022 |
SIGMOD |
4.9207259e-05 |
| 7,866 |
Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP |
2024 |
VLDB |
4.6282779e-05 |
| 8,714 |
Tiresias: Enabling Predictive Autonomous Storage and Indexing |
2022 |
VLDB |
4.457682e-05 |
| 9,620 |
Deploying Computational Storage for HTAP DBMSs Takes More Than Just Computation Offloading |
2023 |
VLDB |
4.3128484e-05 |
| 9,903 |
TiQuE: Improving the Transactional Performance of Analytical Systems for True Hybrid Workloads |
2023 |
VLDB |
4.2539423e-05 |
| 9,929 |
Rethink Query Optimization in HTAP Databases |
2023 |
SIGMOD |
4.2470891e-05 |
| 10,030 |
Perseus: Achieving Strong Consistency and High Data Freshness for Scalable Geo-distributed HTAP |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,063 |
Counting Is All You Need for Instant Tuple Discovery: Enabling Real-Time HTAP in Standalone DBMSs |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,230 |
Breaking the Isolation-Freshness Trade-off: Joint Adaptive Storage Optimization for HTAP Systems |
2026 |
VLDB |
4.1905499e-05 |
| 10,305 |
Vodka: Rethink Benchmarking Philosophy in HTAP Systems |
2026 |
VLDB |
4.1905499e-05 |
| 10,381 |
Boosting OLTP Performance with Per-Page Logging on NVDIMM |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,400 |
Rapid Data Ingestion through DB-OS Co-design |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,615 |
Hermes: Off-the-Shelf Real-Time Transactional Analytics |
2025 |
VLDB |
4.1905499e-05 |
| 10,778 |
veDB-HTAP: a Highly Integrated, Efficient and Adaptive HTAP System |
2025 |
VLDB |
4.1905499e-05 |
| 11,489 |
Real-time Data Infrastructure at Uber |
2021 |
SIGMOD |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 20 |
C-Store: A Column-oriented DBMS |
2005 |
VLDB |
0.00086163998 |
| 66 |
Spark SQL: Relational Data Processing in Spark |
2015 |
SIGMOD |
0.00061707583 |
| 109 |
Dremel: Interactive Analysis of Web-Scale Datasets |
2010 |
VLDB |
0.00048217028 |
| 900 |
F1: A Distributed SQL Database That Scales |
2013 |
VLDB |
0.00015466804 |
| 1,008 |
Spanner: Becoming a SQL System |
2017 |
SIGMOD |
0.00014663067 |
| 1,600 |
Middleware-based Database Replication: The Gaps Between Theory and Practice |
2008 |
SIGMOD |
0.00011198173 |
| 1,786 |
Hybrid Transactional/Analytical Processing: A Survey |
2017 |
SIGMOD |
0.00010543881 |
| 1,838 |
Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing |
2014 |
VLDB |
0.00010353323 |
| 1,939 |
Procella: Unifying serving and analytical data at YouTube |
2019 |
VLDB |
0.00010019433 |
| 3,335 |
SnappyData: A Unified Cluster for Streaming, Transactions, and Interactive Analytics |
2017 |
CIDR |
7.2023806e-05 |
| 3,344 |
F1 Query: Declarative Querying at Scale |
2018 |
VLDB |
7.1944106e-05 |
| 3,459 |
Parallel Replication across Formats in SAP HANA for Scaling Out Mixed OLTP/OLAP Workloads |
2017 |
VLDB |
7.0729792e-05 |
| 4,364 |
Evolving Databases for New-Gen Big Data Applications |
2017 |
CIDR |
6.2454708e-05 |
| 7,956 |
Shasta: Interactive Reporting At Scale |
2016 |
SIGMOD |
4.6089395e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 3,335 |
SnappyData: A Unified Cluster for Streaming, Transactions, and Interactive Analytics |
2017 |
CIDR |
7.2023806e-05 |
| 9,929 |
Rethink Query Optimization in HTAP Databases |
2023 |
SIGMOD |
4.2470891e-05 |
| 6,518 |
How Good is My HTAP System? |
2022 |
SIGMOD |
5.0250374e-05 |
| 4,364 |
Evolving Databases for New-Gen Big Data Applications |
2017 |
CIDR |
6.2454708e-05 |
| 1,786 |
Hybrid Transactional/Analytical Processing: A Survey |
2017 |
SIGMOD |
0.00010543881 |
| 7,689 |
Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads |
2022 |
VLDB |
4.6727982e-05 |
| 4,382 |
HTAP Databases: What is New and What is Next |
2022 |
SIGMOD |
6.2318984e-05 |
| 900 |
F1: A Distributed SQL Database That Scales |
2013 |
VLDB |
0.00015466804 |
| 884 |
F1 – The Fault-Tolerant Distributed RDBMS Supporting Google's Ad Business |
2012 |
SIGMOD |
0.00015579837 |
| 3,344 |
F1 Query: Declarative Querying at Scale |
2018 |
VLDB |
7.1944106e-05 |