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Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP

Summary: Colibri: a cloud-native HTAP storage engine that fuses column and row layouts with explicit hot/cold separation to run hybrid transactional/analytical workloads beyond main memory. Optimized for SSDs and cloud object stores, demonstrating up to 10x speedups over ETL-based setups. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h0093bc4b551ae0f9
Venue
VLDB
Year
2024
Pagerank
5.6094434e-05
Overall Rank
6,994 | 53.12%
DOI
10.14778/3681954.3682001
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{schmidt_vldb24,
        title = {{Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP}},
        author = {Schmidt, Tobias and Durner, Dominik and Leis, Viktor and Neumann, Thomas},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {11},
        pages = {3290--3303},
        doi = {10.14778/3681954.3682001},
        url = {https://doi.org/10.14778/3681954.3682001},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 48 of 48 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
12 C-Store: A Column-oriented DBMS 2005 VLDB 0.00068985264
35 Hekaton: SQL Server’s Memory-Optimized OLTP Engine 2013 SIGMOD 0.00047937476
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041439488
61 Integrating Compression and Execution in Column-Oriented Database Systems 2006 SIGMOD 0.00039323387
63 Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases 2017 SIGMOD 0.00038609177
71 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00037688945
166 The Dangers of Replication and a Solution 1996 SIGMOD 0.00027196717
216 Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing 1998 VLDB 0.00024446892
226 Amazon Redshift and the Case for Simpler Data Warehouses 2015 SIGMOD 0.0002389883
228 Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems 2015 SIGMOD 0.00023872855
232 TiDB: A Raft-based HTAP Database 2020 VLDB 0.00023776373
342 THE 5 MINUTE RULE FOR TRADING MEMORY FOR DISC ACCESSES and THE 10 BYTE RULE FOR TRADING MEMORY FOR CPU TIME 1987 SIGMOD 0.00020487166
375 Umbra: A Disk-Based System with In-Memory Performance 2020 CIDR 0.00019660459
462 Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores 2020 VLDB 0.00017825062
543 Socrates: The New SQL Server in the Cloud 2019 SIGMOD 0.00016588324
574 Efficient Transaction Processing in SAP HANA Database – The End of a Column Store Myth 2012 SIGMOD 0.00016142754
651 Amazon Redshift Re-invented 2022 SIGMOD 0.00015126716
725 Serializable Snapshot Isolation in PostgreSQL 2012 VLDB 0.00014434166
894 Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation 2016 SIGMOD 0.00013179915
1,188 Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads 2016 SIGMOD 0.00011580449
1,340 Fast Updates on Read-Optimized Databases Using Multi-Core CPUs 2012 VLDB 0.00010962559
1,509 Cloud-Native Database Systems at Alibaba: Opportunities and Challenges 2019 VLDB 0.00010415166
1,637 Positional Update Handling in Column Stores 2010 SIGMOD 9.9898497e-05
1,659 Real-Time Analytical Processing with SQL Server 2015 VLDB 9.9440956e-05
2,098 FoundationDB: A Distributed Unbundled Transactional Key Value Store 2021 SIGMOD 9.0326999e-05
2,239 BtrBlocks: Efficient Columnar Compression for Data Lakes 2023 SIGMOD 8.7753778e-05
2,474 AnalyticDB: Real-time OLAP Database System at Alibaba Cloud 2019 VLDB 8.3955114e-05
2,679 Taurus Database: How to be Fast, Available, and Frugal in the Cloud 2020 SIGMOD 8.1228765e-05
2,881 Exploiting Directly-Attached NVMe Arrays in DBMS 2020 CIDR 7.8945474e-05
2,934 What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines 2023 VLDB 7.8265774e-05
2,959 F1 Lightning: HTAP as a Service 2020 VLDB 7.7990674e-05
3,303 Cloud Analytics Benchmark 2023 VLDB 7.4212268e-05
3,783 HTAP Databases: What is New and What is Next 2022 SIGMOD 7.0016354e-05
3,809 An Empirical Evaluation of Columnar Storage Formats 2024 VLDB 6.9890843e-05
4,058 Exploiting Cloud Object Storage for High-Performance Analytics 2023 VLDB 6.8134824e-05
4,071 The Art of Latency Hiding in Modern Database Engines 2024 VLDB 6.8073218e-05
4,089 Virtual-Memory Assisted Buffer Management 2023 SIGMOD 6.7968217e-05
4,373 A Deep Dive into Common Open Formats for Analytical DBMSs 2023 VLDB 6.6191786e-05
4,759 Rethinking Logging, Checkpoints, and Recovery for High-Performance Storage Engines 2020 SIGMOD 6.420498e-05
4,763 Cloud-Native Transactions and Analytics in SingleStore 2022 SIGMOD 6.4172712e-05
5,157 ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency 2022 VLDB 6.2362793e-05
5,192 PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba 2023 SIGMOD 6.2209024e-05
5,382 Taurus MM: bringing multi-master to the cloud 2023 VLDB 6.138171e-05
5,533 HyBench: A New Benchmark for HTAP Databases 2024 VLDB 6.0777541e-05
5,605 How Good is My HTAP System? 2022 SIGMOD 6.0511725e-05
6,250 Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses 2024 SIGMOD 5.818039e-05
6,740 Memory-Optimized Multi-Version Concurrency Control for Disk-Based Database Systems 2022 VLDB 5.6774409e-05
7,368 PolarDB-SCC: A Cloud-Native Database Ensuring Low Latency for Strongly Consistent Reads 2023 VLDB 5.526328e-05
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