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Why We Didn't Converge: ClickHouse's VLDB Paper and the Architecture Agents Actually Need

TL;DR AI

Key summary

2 min read
  1. ClickHouse’s new VLDB paper shows its performance comes from a stack of choices: MergeTree storage, vectorized execution, LLVM JIT, and broad file-format support.

  2. The broader industry is shifting away from single all-in-one HTAP systems toward separate OLTP and OLAP architectures.

  3. Snowflake and Databricks reflect the scale-first analytics path, while CockroachDB and Lakebase point to tightly integrated, low-latency consistency.

  4. At the same time, AI agent workloads are pushing some vendors back toward more converged database designs.

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