The Composable Data Management System Manifesto

被引:6
|
作者
Pedreira, Pedro [1 ]
Erling, Orri [1 ]
Karanasos, Konstantinos [1 ]
Schneider, Scott [1 ]
McKinney, Wes [2 ]
Valluri, Satya R. [3 ]
Zait, Mohamed [3 ]
Nadeau, Jacques [4 ]
机构
[1] Meta Platforms Inc, Menlo Pk, CA 94025 USA
[2] Voltron Data, San Francisco, CA USA
[3] Databricks Inc, San Francisco, CA USA
[4] Sundeck, Santa Clara, CA USA
来源
PROCEEDINGS OF THE VLDB ENDOWMENT | 2023年 / 16卷 / 10期
关键词
D O I
10.14778/3603581.3603604
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The requirement for specialization in data management systems has evolved faster than our software development practices. After decades of organic growth, this situation has created a siloed landscape composed of hundreds of products developed and maintained as monoliths, with limited reuse between systems. This fragmentation has resulted in developers often reinventing the wheel, increased maintenance costs, and slowed down innovation. It has also affected the end users, who are often required to learn the idiosyncrasies of dozens of incompatible SQL and non-SQL API dialects, and settle for systems with incomplete functionality and inconsistent semantics. In this vision paper, considering the recent popularity of open source projects aimed at standardizing different aspects of the data stack, we advocate for a paradigm shift in how data management systems are designed. We believe that by decomposing these into a modular stack of reusable components, development can be streamlined while creating a more consistent experience for users. Towards that goal, we describe the state-of-the-art, principal open source technologies, and highlight open questions and areas where additional research is needed. We hope this work will foster collaboration, motivate further research, and promote a more composable future for data management.
引用
收藏
页码:2679 / 2685
页数:7
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