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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
13730
Venue
VLDB
Year
2024
Pagerank
5.7107965e-05
Overall Rank
7,072 | 51.49%
DOI
10.14778/3681954.3682001

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 7 of 7 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 0.00069513174
38 Hekaton: SQL Server’s Memory-Optimized OLTP Engine 2013 SIGMOD 0.00047648573
60 Integrating Compression and Execution in Column-Oriented Database Systems 2006 SIGMOD 0.0003955489
66 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00038561587
73 Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases 2017 SIGMOD 0.00037333356
103 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00034161428
164 The Dangers of Replication and a Solution 1996 SIGMOD 0.00027698879
227 Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing 1998 VLDB 0.00023958508
233 Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems 2015 SIGMOD 0.00023815642
237 Amazon Redshift and the Case for Simpler Data Warehouses 2015 SIGMOD 0.0002369895
271 TiDB: A Raft-based HTAP Database 2020 VLDB 0.00022703024
336 THE 5 MINUTE RULE FOR TRADING MEMORY FOR DISC ACCESSES and THE 10 BYTE RULE FOR TRADING MEMORY FOR CPU TIME 1987 SIGMOD 0.00020845451
422 Umbra: A Disk-Based System with In-Memory Performance 2020 CIDR 0.00018732744
520 Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores 2020 VLDB 0.00017136828
575 Efficient Transaction Processing in SAP HANA Database – The End of a Column Store Myth 2012 SIGMOD 0.00016257033
604 Socrates: The New SQL Server in the Cloud 2019 SIGMOD 0.0001584774
733 Serializable Snapshot Isolation in PostgreSQL 2012 VLDB 0.00014533437
818 Amazon Redshift Re-invented 2022 SIGMOD 0.00013822916
941 Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation 2016 SIGMOD 0.00013078348
1,199 Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads 2016 SIGMOD 0.00011703966
1,315 Fast Updates on Read-Optimized Databases Using Multi-Core CPUs 2012 VLDB 0.00011181796
1,559 Cloud-Native Database Systems at Alibaba: Opportunities and Challenges 2019 VLDB 0.00010362456
1,629 Positional Update Handling in Column Stores 2010 SIGMOD 0.00010184131
1,692 Real-Time Analytical Processing with SQL Server 2015 VLDB 9.9979924e-05
2,469 FoundationDB: A Distributed Unbundled Transactional Key Value Store 2021 SIGMOD 8.5354086e-05
2,563 AnalyticDB: Real-time OLAP Database System at Alibaba Cloud 2019 VLDB 8.412445e-05
2,788 BtrBlocks: Efficient Columnar Compression for Data Lakes 2023 SIGMOD 8.1205155e-05
2,828 Exploiting Directly-Attached NVMe Arrays in DBMS 2020 CIDR 8.0803679e-05
2,972 F1 Lightning: HTAP as a Service 2020 VLDB 7.9114157e-05
3,001 What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines 2023 VLDB 7.8673493e-05
3,226 Taurus Database: How to be Fast, Available, and Frugal in the Cloud 2020 SIGMOD 7.6231159e-05
3,762 HTAP Databases: What is New and What is Next 2022 SIGMOD 7.1449267e-05
3,838 Cloud Analytics Benchmark 2023 VLDB 7.0823175e-05
3,877 An Empirical Evaluation of Columnar Storage Formats 2024 VLDB 7.0532293e-05
4,018 Virtual-Memory Assisted Buffer Management 2023 SIGMOD 6.952278e-05
4,103 Exploiting Cloud Object Storage for High-Performance Analytics 2023 VLDB 6.8993506e-05
4,440 The Art of Latency Hiding in Modern Database Engines 2024 VLDB 6.7049797e-05
4,763 Rethinking Logging, Checkpoints, and Recovery for High-Performance Storage Engines 2020 SIGMOD 6.519206e-05
5,037 A Deep Dive into Common Open Formats for Analytical DBMSs 2023 VLDB 6.3914026e-05
5,097 Cloud-Native Transactions and Analytics in SingleStore 2022 SIGMOD 6.3652447e-05
5,155 ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency 2022 VLDB 6.3420293e-05
5,431 HyBench: A New Benchmark for HTAP Databases 2024 VLDB 6.2211765e-05
5,477 PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba 2023 SIGMOD 6.2051869e-05
5,602 How Good is My HTAP System? 2022 SIGMOD 6.1538237e-05
5,739 Taurus MM: bringing multi-master to the cloud 2023 VLDB 6.1036095e-05
6,602 Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses 2024 SIGMOD 5.8246665e-05
7,184 Memory-Optimized Multi-Version Concurrency Control for Disk-Based Database Systems 2022 VLDB 5.6785094e-05
9,116 PolarDB-SCC: A Cloud-Native Database Ensuring Low Latency for Strongly Consistent Reads 2023 VLDB 5.3205884e-05
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