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    Materialized View

    materializedview.io · Personal blog · on HN since 2023

    Chris Riccomini's newsletter on databases, stream processing, data infrastructure, and cloud systems, including Kafka, Flink, and incremental view maintenance.

    Visit blogHN submissions
    DatabasesDistributed SystemsData & Visualization
    What HN says

    HN commenters praise the posts and cite them in discussions of Kafka's protocol and stream processing history, such as Samza to Flink.

    Stats for nerds
    21HN people shared it
    42linked in comments
    594story points
    Aug 2024last shared

    Top posts on HN

    1. 1
      S3 is showing its age
      1 person · 260 points · first shared 2024 · 166 comments on HN
    2. 2
      Database Isolation Is Broken and You Should Care
      1 person · 121 points · first shared 2023 · 52 comments on HN
    3. 3
      Modular Monoliths Are a Good Idea
      1 person · 101 points · first shared 2024 · 69 comments on HN
    4. 4
      MCP Server Could Have Been a JSON File
      3 people · 29 points · first shared 2025 · 7 comments on HN
    5. 5
      Databases Are Falling Apart: Database Disassembly and Its Implications
      6 people · 13 points · first shared 2024 · 2 comments on HN
    6. 6
      S3 Is the New SFTP, or, how to get data to customers
      3 people · 11 points · first shared 2024 · Discussion on HN
    7. 7
      Everything You Need to Know About Incremental View Maintenance
      2 people · 10 points · first shared 2025 · 6 comments on HN
    8. 8
      From Samza to Flink: A Decade of Stream Processing
      3 people · 5 points · first shared 2024 · 1 comments on HN
    9. 9
      Virtual Machines Are Getting Better
      2 people · 5 points · first shared 2024 · Discussion on HN
    10. 10
      How Fast Can Java Parse 1B Rows of Temperature Data
      1 person · 5 points · first shared 2024 · Discussion on HN

    What HN people wrote when they linked it

    • jauntywundrkindFeb 2024

      Been loving your posts Chris! The suggestion here sounds awesome. I'd love a little more in depth example of what might go across the wire- the one example was probably more than enough for many but I was still curious technically what these query plans structurally looked like.

      Kind of interesting in light of the previous submission, which I truly loved, on the diassbly of the data stack. Great post, and about decentralization of the technology. Yet this post is about a shared tie that could/should help bind, as so many different things are happening. https://materializedview.io/p/databases-are-falling-apart

    • amathMar 2024

      Nice work on the performance boost :).

      How does it compare with things like: 1. https://github.com/bytewax/bytewax 2. https://github.com/pathwaycom/pathway

      I recently read this article (https://materializedview.io/p/from-samza-to-flink-a-decade-of-stream) about Flink and it commented on Flink grew to fit all of these different use cases (applications, analytics and ETL) with disjoint requirements that Confluent built kafka-streams, ksql and connector for. What of those would you say Arroyo is better suited for?

    • 62951413Aug 2024

      Ce n'est pas un Kafka: Kafka is a Protocol Apache Kafka is an aging open source project. It's time to accept that Kafka's protocol is what matters. (https://materializedview.io/p/ce-nest-pas-un-kafka)

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