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#columnstore — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #columnstore, aggregated by home.social.

  1. When you create an ordered Non-Clustered Columnstore Index in SQL Server 2025, you need to do it single-threaded (MAXDOP = 1) to get a perfectly working Segment Elimination. The same also applies to Ordered Clustered Columnstore Indexes... #sqlserver #columnstore

  2. If you’re in need of a columnar storage engineer, say “hello” to . 👋

    It supports real-time analytics on billions of rows and terabytes of . It can’t get any better than that.

    Get a formal introduction: bit.ly/3fqCkFF

  3. 🤩 #MariaDB is truly amazing:
    Transactional workloads 👉 #InnoDB
    Analytical workloads 👉 #ColumnStore
    Read-heavy workloads 👉 #Aria
    Write-heavy 👉 #MyRocks
    Sharding 👉 #Spider
    Scale both reads and writes 👉 #Xpand
    Use NoSQL queries or export data to Kafka 👉 #MaxScale

  4. 🤩 #MariaDB is truly amazing:
    Transactional workloads 👉 #InnoDB
    Analytical workloads 👉 #ColumnStore
    Read-heavy workloads 👉 #Aria
    Write-heavy 👉 #MyRocks
    Sharding 👉 #Spider
    Scale both reads and writes 👉 #Xpand
    Use NoSQL queries or export data to Kafka 👉 #MaxScale

  5. 🤩 #MariaDB is truly amazing:
    Transactional workloads 👉 #InnoDB
    Analytical workloads 👉 #ColumnStore
    Read-heavy workloads 👉 #Aria
    Write-heavy 👉 #MyRocks
    Sharding 👉 #Spider
    Scale both reads and writes 👉 #Xpand
    Use NoSQL queries or export data to Kafka 👉 #MaxScale

  6. 🤩 #MariaDB is truly amazing:
    Transactional workloads 👉 #InnoDB
    Analytical workloads 👉 #ColumnStore
    Read-heavy workloads 👉 #Aria
    Write-heavy 👉 #MyRocks
    Sharding 👉 #Spider
    Scale both reads and writes 👉 #Xpand
    Use NoSQL queries or export data to Kafka 👉 #MaxScale

  7. Did you know is 90% compatible with ?

    I explain how to use ColumnStore for quick and fast analytics.

    📺: bit.ly/3FyfXZ9

  8. Well the #ColumnStore engine, was worth the pain to install in #mariadb
    Test file of 10M rows, queries to find the cardinality of the unique values of a specific column ('dim1').
    16x & 50x faster than the built-in engines InnoDB & Aria