The Daily Index — Thursday, September 24, 2026 · TLDR Index

GENERAL

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Start a free ClickHouse Cloud trial with $300 in credits.

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console.clickhouse.cloud

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WE PORTED THE ORIGINAL DOOM TO SQL

CedarDB ported the original Doom's game logic and renderer almost entirely to SQL, running the game loop at its original 35 Hz and rendering at up to 60 FPS. The experiment shows that surprisingly complex real-time logic can work with SQL's set-based model, while database features like transactions, access control, and shared state make multiplayer particularly natural.

cedardb.com · 25 min

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IF YOU LAST USED CASSANDRA 3.11, YOU MIGHT NOT RECOGNIZE IT TODAY

Apache Cassandra 5 loosens many of the constraints teams learned with 3.11, adding storage-attached indexing, unified compaction, native vector search, and built-in repair scheduling. Cassandra 6 goes further with ordered cluster metadata and cross-partition transactions, although partitioning and workload design remain fundamental.

softwaremill.com · 10 min

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HOW CONCURRENCE GOVERNS CLINICAL AI AT A TRILLION-TOKEN SCALE WITH UNITY GATEWAY

Concurrence uses Databricks to run and govern clinical AI at an annualized scale of roughly 1.2 trillion input tokens, combining patient data, agent state, testing, evaluations, and access controls on one platform. Unity Gateway centralizes access to approved AI models and tools, helping the company track usage, enforce compliance, and safely scale both clinical and coding agents.

databricks.com · 7 min

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REAL-TIME LLM GUARDRAILS WITH JEV: COMPARING LATENCY AND COST

TypeSafe's Jev uses a purpose-built decision model for real-time AI guardrails, checking agent inputs, responses, and tool calls before they execute. In Arize's tests, it made the same decisions as GPT-5.4 nano while running 15-18x faster and costing 12-14x less per call.

arize.com · 13 min

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Explore the program

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online.osu.edu

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INTRODUCING PROMPT_JEV(): BRINGING JEV TO MOTHERDUCK SQL

MotherDuck's new prompt_jev function brings Jev directly into SQL, letting users classify and score text at analytics scale without training a model or parsing LLM responses. In its 100,000-row benchmark, Jev achieved 89% accuracy in 40 seconds for $0.50, outperforming the tested LLMs on speed, cost, and accuracy.

motherduck.com · 5 min

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DUCKDB NOW SHIPS INSIDE DBT V2

dbt v2's Rust-based Fusion engine now includes a built-in DuckDB adapter, removing the need for a separate adapter installation. It adds DuckLake and Iceberg REST catalog support, writes queryable project metadata as Parquet, and performs SQL analysis that finds type or column problems before warehouse execution. The migration path starts by testing the opt-in v2 parser against existing projects.

duckdb.org · 6 min

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ANNOUNCING APACHE FLUSS 1.0: REAL-TIME DATA FOUNDATION FOR AI

Apache Fluss 1.0 introduces a stateless Rust HTTP Gateway for metadata, table operations, and batch writes, alongside native Python access and deeper Flink, Spark, Hudi, and Paimon integration. It adds row and log TTLs, predicate pushdown, coordinator high availability, resource protection, and cleanup features, moving the project from incubator-era capabilities toward production real-time lakehouse workloads.

fluss.apache.org · 15 min

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HIGH-THROUGHPUT OLTP IN THREE SIMPLE STEPS

High-throughput transaction systems benefit from co-design rather than copying a connection-pool pattern from a general-purpose database. TigerBeetle models linked transfers atomically, aggregates balances without scans, batches operations automatically while a request is in flight, and prefers time-ordered identifiers for fast idempotency checks. Its benchmark illustrates why batching and ordered IDs can matter more than adding clients.

tigerbeetle.com · 6 min

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HOW ADAPTIVE TAIL SAMPLING WORKS IN THE OPENTELEMETRY COLLECTOR

Fixed-rate sampling often discards the rare traces needed in an incident, while ordinary tail sampling loses statistical weights. An adaptive tail sampler for the OpenTelemetry Collector buffers traces, applies ordered rules, and attaches W3C probability thresholds so downstream counts can be reweighted. It adapts by route and service, bounds memory under load, and is progressing upstream toward alpha.

honeycomb.io · 7 min

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PROFILE YOUR POLARS QUERIES

Polars now exposes a query profiler for local open-source workloads.

pola.rs · 2 min

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HOST- AND DOMAIN-LEVEL WEB GRAPHS JULY, AUGUST, AND SEPTEMBER 2026

Common Crawl has released open web graphs covering 245.8 million hosts and 133.2 million domains.

commoncrawl.org · 3 min