--- collection: data-engineering collection_name: Data & Analytics Engineering week_start: 2026-05-25 title: ClickHouse’s conference week reshapes query execution and managed services release_count: 13 generated: 2026-07-11 canonical: https://releases.sh/collections/data-engineering/digest/2026-05-25 --- # ClickHouse’s conference week reshapes query execution and managed services ClickHouse Open House 2026 delivered multi-stage distributed query execution, a managed Postgres beta, and serverless observability through ClickStack Cloud, while Dagster shipped its 1.13.7 release with improved schedule ownership and deeper Snowflake integration. ### Multi-stage queries reshape large-scale analytics The biggest engineering story this week is ClickHouse’s multi-stage distributed query execution, unveiled at the company’s Open House conference. [Multi-stage distributed execution](/release/rel_FSnjj2919tLx_frOKfHW5-introducing-multi-stage-distributed-query-execution-in-clickhouse-cloud) repartitions intermediate data between query stages, removing the bottlenecks that plague large joins and high-cardinality aggregations in distributed settings. Early TPC-H results show join-heavy queries running up to 3.4× faster, while aggregation scaling remains near-linear at 7.4× faster on eight nodes than one. This is a fundamental architectural change for ClickHouse Cloud, not a tuning knob — teams running complex analytical queries across many nodes will see the most impact. ### Managed Postgres and serverless observability enter beta ClickHouse’s conference also brought two significant managed service announcements. [Postgres managed by ClickHouse](/release/rel_iQMYiNh1DuC9YlfU87pqf-postgres-managed-by-clickhouse-is-now-in-beta) entered public beta, offering a fully managed, NVMe-backed Postgres service with native CDC into ClickHouse and a unified query layer via the pg_clickhouse extension. On the observability front, [ClickStack Cloud](/release/rel_jL4qoKF-moV0rhFAkhLP3-introducing-clickstack-cloud-serverless-observability-powered-by-clickhouse) launched as a serverless platform where teams send OpenTelemetry data to a managed endpoint and immediately explore logs, metrics, and traces without operating any infrastructure. The observability story deepened with [AI Notebooks and an MCP server](/release/rel_A8-dx3z5DbD1bI5USj_Yl-open-house-observability-announcements-mcp-server-ai-notebooks-and-clickstack), both now available in beta, alongside [CostBench](/release/rel_xjQq5-bGX-kDwgJEbKjoH-introducing-costbench-an-open-benchmark-for-data-warehouse-cost-performance), an open benchmark for comparing cloud data warehouse cost-performance across vendors. ### Dagster tightens the governance and Snowflake loop While ClickHouse dominated with conference news, Dagster shipped [version 1.13.7](/release/rel_psdlA_9MgbuZeUI0M2eLM-1-13-7-core-0-29-7-libraries) with several practical improvements. The `build_schedule_from_partitioned_job` function now accepts an `owners` parameter, making schedule ownership explicit at definition time. The Fivetran component gained optional column-level metadata fetching for synced tables — a small but meaningful step for lineage tracking. Two accompanying blog posts framed Dagster’s positioning: one explained how [Dagster Compass powers self-service analytics at Brooklyn Data](/release/rel_7ILG_EPnlMdSkDWSrkuVI-how-dagster-compass-powers-brooklyn-data-s-self-service-analytics) by layering governance and business context on top of Snowflake, while another made the case that [Snowflake runs data, Dagster runs everything else](/release/rel_rPVb5P3sxInnK6NZNPDvM-snowflake-runs-your-data-dagster-runs-everything-else), covering how the orchestrator handles transformation, lineage, automation, and cost visibility across the broader platform. ### dbt on agent infrastructure A single post from dbt Labs this week generated conversation: [what data infrastructure agents actually need](/release/rel_YrP17TS6Y87hhYJVo1MST-what-data-infrastructure-do-agents-need). The argument is that AI agents fail not because of weak models but because they run on infrastructure designed for batch training and human analytics — a claim that resonated with teams already experimenting with agentic workflows. It’s a short read that frames a growing tension between OLAP-oriented warehouses and the real-time, decision-making demands of autonomous systems. ## Releases covered ### ClickHouse - [Introducing multi-stage distributed query execution in ClickHouse Cloud](https://releases.sh/release/rel_FSnjj2919tLx_frOKfHW5-introducing-multi-stage-distributed-query-execution-in-clickhouse-cloud) - [Postgres managed by ClickHouse is now in beta](https://releases.sh/release/rel_iQMYiNh1DuC9YlfU87pqf-postgres-managed-by-clickhouse-is-now-in-beta) - [Introducing ClickStack Cloud: Serverless observability powered by ClickHouse](https://releases.sh/release/rel_jL4qoKF-moV0rhFAkhLP3-introducing-clickstack-cloud-serverless-observability-powered-by-clickhouse) - [Open House observability announcements: MCP server, AI Notebooks, and ClickStack Cloud](https://releases.sh/release/rel_A8-dx3z5DbD1bI5USj_Yl-open-house-observability-announcements-mcp-server-ai-notebooks-and-clickstack) - [Introducing CostBench: an open benchmark for data warehouse cost-performance](https://releases.sh/release/rel_xjQq5-bGX-kDwgJEbKjoH-introducing-costbench-an-open-benchmark-for-data-warehouse-cost-performance) ### Dagster - [1.13.7 (core) / 0.29.7 (libraries)](https://releases.sh/release/rel_psdlA_9MgbuZeUI0M2eLM-1-13-7-core-0-29-7-libraries) - [How Dagster Compass Powers Brooklyn Data's Self-Service Analytics](https://releases.sh/release/rel_7ILG_EPnlMdSkDWSrkuVI-how-dagster-compass-powers-brooklyn-data-s-self-service-analytics) - [Snowflake Runs Your Data: Dagster Runs Everything Else](https://releases.sh/release/rel_rPVb5P3sxInnK6NZNPDvM-snowflake-runs-your-data-dagster-runs-everything-else) ### dbt Labs - [What data infrastructure do agents need?](https://releases.sh/release/rel_YrP17TS6Y87hhYJVo1MST-what-data-infrastructure-do-agents-need)