Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3524860.3544408acmconferencesArticle/Chapter ViewAbstractPublication PagesdebsConference Proceedingsconference-collections
keynote

Materialize: a platform for building scalable event based systems

Published: 15 July 2022 Publication History

Abstract

Materialize is a system that presents to users as SQL against continually changing data. It transforms inbound streams of *change data capture* events into streams that exactly correspond to transformed data, and maintains indexed representations of the results for efficient access and operation. SQL over changing data is surprisingly (for me) expressive: Materialize can operate on unbounded data, implement data-driven windows, and perform event-based queries, all with ANSI standard SQL. We will discuss what an event-based SQL system looks like, SQL idioms that give rise to traditionally stream-exclusive behavior, and how one architects such a system to scale across multiple dimensions.

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
DEBS '22: Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems
June 2022
210 pages
ISBN:9781450393089
DOI:10.1145/3524860
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 July 2022

Check for updates

Qualifiers

  • Keynote

Conference

DEBS '22

Acceptance Rates

DEBS '22 Paper Acceptance Rate 10 of 19 submissions, 53%;
Overall Acceptance Rate 145 of 583 submissions, 25%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 0
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 20 Nov 2024

Other Metrics

Citations

View Options

Login options

View options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media