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.

What HN saysHN commenters praise the posts and cite them in discussions of Kafka's protocol and stream processing history, such as Samza to Flink.
21HN people shared it
3linked it in comments
42stories submitted
594story points
4 months agolast shared
2023people per year2026

Most-shared posts

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  2. 2
    MCP Server Could Have Been a JSON File
    3 people · 29 points · first shared 2025 · 7 comments on HN
  3. 3
    S3 Is the New SFTP, or, how to get data to customers
    3 people · 11 points · first shared 2024 · discussion on HN
  4. 4
    From Samza to Flink: A Decade of Stream Processing
    3 people · 5 points · first shared 2024 · 1 comments on HN
  5. 5
  6. 6
    Virtual Machines Are Getting Better
    2 people · 5 points · first shared 2024 · discussion on HN
  7. 7
    AI IDEs Need Moats
    2 people · 3 points · first shared 2025 · discussion on HN
  8. 8
    The New Era of Flexible Infrastructure Deployment
    2 people · 3 points · first shared 2024 · discussion on HN
  9. 9
    Ce n'est pas un Kafka: Kafka is a Protocol
    2 people · 2 points · first shared 2024 · discussion on HN
  10. 10
    Nimble and Lance: The Parquet Killers
    2 people · 1 points · first shared 2024 · discussion on HN
  11. 11
    S3 is showing its age
    1 people · 260 points · first shared 2024 · 166 comments on HN
  12. 12
    Database Isolation Is Broken and You Should Care
    1 people · 121 points · first shared 2023 · 52 comments on HN
  13. 13
    Modular Monoliths Are a Good Idea
    1 people · 101 points · first shared 2024 · 69 comments on HN
  14. 14
    How Fast Can Java Parse 1B Rows of Temperature Data
    1 people · 5 points · first shared 2024 · discussion on HN
  15. 15

What HN people wrote when they linked it

jauntywundrkind · 2024-02-12
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
62951413 · 2024-08-27
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)
amath · 2024-03-18
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?

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