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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
5.5801574e-05
Overall Rank
7,223 | 51.46%
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 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 0.0006897844
35 Hekaton: SQL Server’s Memory-Optimized OLTP Engine 2013 SIGMOD 0.00047996489
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041210636
61 Integrating Compression and Execution in Column-Oriented Database Systems 2006 SIGMOD 0.00039236924
63 Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases 2017 SIGMOD 0.00038521221
71 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00037724477
165 The Dangers of Replication and a Solution 1996 SIGMOD 0.00027257943
216 Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing 1998 VLDB 0.00024485637
228 Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems 2015 SIGMOD 0.00023915456
233 Amazon Redshift and the Case for Simpler Data Warehouses 2015 SIGMOD 0.00023774958
234 TiDB: A Raft-based HTAP Database 2020 VLDB 0.00023756332
341 THE 5 MINUTE RULE FOR TRADING MEMORY FOR DISC ACCESSES and THE 10 BYTE RULE FOR TRADING MEMORY FOR CPU TIME 1987 SIGMOD 0.00020532378
373 Umbra: A Disk-Based System with In-Memory Performance 2020 CIDR 0.00019705706
460 Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores 2020 VLDB 0.00017850215
543 Socrates: The New SQL Server in the Cloud 2019 SIGMOD 0.00016624903
575 Efficient Transaction Processing in SAP HANA Database – The End of a Column Store Myth 2012 SIGMOD 0.00016134406
681 Amazon Redshift Re-invented 2022 SIGMOD 0.0001482366
727 Serializable Snapshot Isolation in PostgreSQL 2012 VLDB 0.00014456009
907 Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation 2016 SIGMOD 0.00013157412
1,200 Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads 2016 SIGMOD 0.00011559584
1,332 Fast Updates on Read-Optimized Databases Using Multi-Core CPUs 2012 VLDB 0.00010993664
1,512 Cloud-Native Database Systems at Alibaba: Opportunities and Challenges 2019 VLDB 0.00010425349
1,631 Positional Update Handling in Column Stores 2010 SIGMOD 0.00010019069
1,675 Real-Time Analytical Processing with SQL Server 2015 VLDB 9.9136747e-05
2,090 FoundationDB: A Distributed Unbundled Transactional Key Value Store 2021 SIGMOD 9.0619382e-05
2,317 BtrBlocks: Efficient Columnar Compression for Data Lakes 2023 SIGMOD 8.6492924e-05
2,483 AnalyticDB: Real-time OLAP Database System at Alibaba Cloud 2019 VLDB 8.3973995e-05
2,671 Taurus Database: How to be Fast, Available, and Frugal in the Cloud 2020 SIGMOD 8.1464332e-05
2,875 Exploiting Directly-Attached NVMe Arrays in DBMS 2020 CIDR 7.916817e-05
2,921 What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines 2023 VLDB 7.8503064e-05
2,998 F1 Lightning: HTAP as a Service 2020 VLDB 7.7667188e-05
3,311 Cloud Analytics Benchmark 2023 VLDB 7.4364696e-05
3,779 HTAP Databases: What is New and What is Next 2022 SIGMOD 7.0234898e-05
3,810 An Empirical Evaluation of Columnar Storage Formats 2024 VLDB 7.0064171e-05
4,036 Exploiting Cloud Object Storage for High-Performance Analytics 2023 VLDB 6.8360867e-05
4,094 Virtual-Memory Assisted Buffer Management 2023 SIGMOD 6.8094958e-05
4,243 The Art of Latency Hiding in Modern Database Engines 2024 VLDB 6.704668e-05
4,638 A Deep Dive into Common Open Formats for Analytical DBMSs 2023 VLDB 6.4901967e-05
4,738 Rethinking Logging, Checkpoints, and Recovery for High-Performance Storage Engines 2020 SIGMOD 6.4417968e-05
4,830 Cloud-Native Transactions and Analytics in SingleStore 2022 SIGMOD 6.3885902e-05
5,256 ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency 2022 VLDB 6.2051184e-05
5,291 PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba 2023 SIGMOD 6.1915052e-05
5,368 Taurus MM: bringing multi-master to the cloud 2023 VLDB 6.1578957e-05
5,518 HyBench: A New Benchmark for HTAP Databases 2024 VLDB 6.0949417e-05
5,712 How Good is My HTAP System? 2022 SIGMOD 6.0193298e-05
6,240 Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses 2024 SIGMOD 5.8373399e-05
6,726 Memory-Optimized Multi-Version Concurrency Control for Disk-Based Database Systems 2022 VLDB 5.6953141e-05
7,348 PolarDB-SCC: A Cloud-Native Database Ensuring Low Latency for Strongly Consistent Reads 2023 VLDB 5.5435627e-05
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