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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
5.5828002e-05
Overall Rank
7,221 | 51.46%
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 8 of 8 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 0.00068998927
35 Hekaton: SQL Server’s Memory-Optimized OLTP Engine 2013 SIGMOD 0.00048001919
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041219077
61 Integrating Compression and Execution in Column-Oriented Database Systems 2006 SIGMOD 0.000392237
63 Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases 2017 SIGMOD 0.00038531147
71 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00037720227
165 The Dangers of Replication and a Solution 1996 SIGMOD 0.00027270353
216 Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing 1998 VLDB 0.00024485024
228 Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems 2015 SIGMOD 0.00023920439
233 Amazon Redshift and the Case for Simpler Data Warehouses 2015 SIGMOD 0.00023783585
234 TiDB: A Raft-based HTAP Database 2020 VLDB 0.00023765806
340 THE 5 MINUTE RULE FOR TRADING MEMORY FOR DISC ACCESSES and THE 10 BYTE RULE FOR TRADING MEMORY FOR CPU TIME 1987 SIGMOD 0.00020539958
373 Umbra: A Disk-Based System with In-Memory Performance 2020 CIDR 0.00019711632
459 Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores 2020 VLDB 0.00017856221
543 Socrates: The New SQL Server in the Cloud 2019 SIGMOD 0.0001663263
575 Efficient Transaction Processing in SAP HANA Database – The End of a Column Store Myth 2012 SIGMOD 0.00016132182
680 Amazon Redshift Re-invented 2022 SIGMOD 0.00014828697
726 Serializable Snapshot Isolation in PostgreSQL 2012 VLDB 0.00014459037
906 Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation 2016 SIGMOD 0.00013160654
1,200 Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads 2016 SIGMOD 0.00011563303
1,335 Fast Updates on Read-Optimized Databases Using Multi-Core CPUs 2012 VLDB 0.0001099401
1,513 Cloud-Native Database Systems at Alibaba: Opportunities and Challenges 2019 VLDB 0.00010429438
1,632 Positional Update Handling in Column Stores 2010 SIGMOD 0.00010021251
1,675 Real-Time Analytical Processing with SQL Server 2015 VLDB 9.9181121e-05
2,089 FoundationDB: A Distributed Unbundled Transactional Key Value Store 2021 SIGMOD 9.06623e-05
2,314 BtrBlocks: Efficient Columnar Compression for Data Lakes 2023 SIGMOD 8.6533171e-05
2,484 AnalyticDB: Real-time OLAP Database System at Alibaba Cloud 2019 VLDB 8.3993882e-05
2,671 Taurus Database: How to be Fast, Available, and Frugal in the Cloud 2020 SIGMOD 8.15025e-05
2,877 Exploiting Directly-Attached NVMe Arrays in DBMS 2020 CIDR 7.9181223e-05
2,920 What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines 2023 VLDB 7.8540089e-05
2,997 F1 Lightning: HTAP as a Service 2020 VLDB 7.7689996e-05
3,316 Cloud Analytics Benchmark 2023 VLDB 7.4373161e-05
3,777 HTAP Databases: What is New and What is Next 2022 SIGMOD 7.0268163e-05
3,808 An Empirical Evaluation of Columnar Storage Formats 2024 VLDB 7.0097354e-05
4,034 Exploiting Cloud Object Storage for High-Performance Analytics 2023 VLDB 6.8393244e-05
4,094 Virtual-Memory Assisted Buffer Management 2023 SIGMOD 6.8103269e-05
4,243 The Art of Latency Hiding in Modern Database Engines 2024 VLDB 6.7069789e-05
4,635 A Deep Dive into Common Open Formats for Analytical DBMSs 2023 VLDB 6.4932705e-05
4,828 Cloud-Native Transactions and Analytics in SingleStore 2022 SIGMOD 6.391616e-05
4,848 Rethinking Logging, Checkpoints, and Recovery for High-Performance Storage Engines 2020 SIGMOD 6.3818116e-05
5,253 ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency 2022 VLDB 6.2080572e-05
5,288 PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba 2023 SIGMOD 6.1944376e-05
5,363 Taurus MM: bringing multi-master to the cloud 2023 VLDB 6.1608121e-05
5,515 HyBench: A New Benchmark for HTAP Databases 2024 VLDB 6.0977681e-05
5,711 How Good is My HTAP System? 2022 SIGMOD 6.0221783e-05
6,240 Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses 2024 SIGMOD 5.8382355e-05
6,959 Memory-Optimized Multi-Version Concurrency Control for Disk-Based Database Systems 2022 VLDB 5.633832e-05
7,345 PolarDB-SCC: A Cloud-Native Database Ensuring Low Latency for Strongly Consistent Reads 2023 VLDB 5.5461882e-05
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