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Retina framework enables real-time transactional data changes in lakehouses

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new data synchronization framework called Retina, designed to enable real-time, transactional data changes in lakehouses. This system addresses the challenges of propagating data changes from sources to lakehouses while maintaining ACID guarantees and minimizing resource consumption. Evaluations indicate Retina achieves 10-millisecond data freshness and a throughput of over 3.2 million rows per second, significantly outperforming existing lakehouse systems and HTAP databases. AI

IMPACT This framework could improve the efficiency and performance of real-time data analytics in lakehouses, impacting how data is managed and queried.

RANK_REASON The cluster describes a novel data synchronization framework presented in an academic paper on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Retina framework enables real-time transactional data changes in lakehouses

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The cluster describes a novel data synchronization framework presented in an academic paper on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Dongyang Geng, Haoqiong Bian, Zinuo Li, Haoyue Li ·

    Transactional Data Change for Real-Time Analytics in Lakehouses

    arXiv:2611.12169v2 Announce Type: replace-cross Abstract: Real-time data analytics has become a key demand for lakehouses. It requires propagating data changes from the data source to the lakehouse in real time, while ensuring ACID guarantees and minimizing resource consumption a…

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