Tinybird Classic sunset for Free and Developer plans
Tinybird Classic sunset for Free and Developer plans
Tinybird Classic is being sunset for Free and Developer plan Workspaces. If you have a Classic...
Transform, orchestrate, and query data at scale — the modern data stack.
This week: Apache Ossie enters incubation, dbt reaches 1.12 →Dagster patched two serverless I/O manager errors affecting multi-deployment orgs, while dbt-core 1.12.0 shipped breaking changes that remove the experimental dbt login command and default several prior flags to true.
Tinybird Classic is being sunset for Free and Developer plan Workspaces. If you have a Classic...
Dagster published a detailed blog post walking through a tiered AI classification system built with its orchestration, achieving a million-column data governance labeling in nine days.
Built a tiered AI classification system, human review workflow, and Dagster orchestration for data governance. Classified a million Snowflake columns ...

dbt-core v1.12.0rc3 fixes DAG dependencies dropped for overloaded UDFs and reduces parse-time memory and macro-generation overhead.
In financial services, market data systems typically split into two tiers: real-time and h...
The Open Semantic Interchange specification was accepted into the Apache Incubator and renamed to Apache Ossie, with no changes to the spec, community, or mission.
We've released @clickhouse/rowbinary, a Node.js reader and writer for ClickHouse's [RowBinary](...
What are huge pages, and why do they matter for Postgres? The OS hands out memory in 4KB...
The Open Semantic Interchange (OSI) project has been accepted into the Apache Incubator and renamed to Apache Ossie (Incubating). The specification, community, and mission remain unchanged; all references to OSI are historical and will be removed over time.
On Sunday July 12, the data engineering world got word of Prefect's acquisition of Dagster.
A letter from Nick Schrock, founder and creator of Dagster, announcing Prefect's acquisition of Dagster.

dbt-core 1.12.0rc2 enables behavior flags from 1.9 and 1.10 by default, introduces a catalog_database override field, and fixes a partial parsing ghost-duplicate error, while Dagster 1.13.13 patches a grpcio dependency conflict.
*ClickHouse is now available on Docker Hardened Images: stripped-down,...
The CLI now picks the target Workspace in Tinybird Local more predictably during branch-based ...
dbt-core 1.12.0-rc1 removes the experimental dbt login command and bundled dbt-state plugin, including --manage-state and DBT_ENGINE_STATE_* env vars, while fixing an intermittent unit-test parsing error and adding tolerance for Fusion-specific warn_error_options.
ClickHouse released pg_re2, a Postgres extension that replaces POSIX regex with RE2-powered functions, delivering 1.8× to 8.6× performance gains on regex operations and 1.1× to 1.8× speedup on indexed queries. The extension also solves syntax incompatibilities between Postgres POSIX regex and ClickHouse RE2, enabling correct pushdown of regex expressions in the pg_clickhouse foreign data wrapper.
dbt-core 2.0.0-alpha.4 enabled write support for DuckDB Iceberg REST catalogs and fixed state:modified false positives for Jinja configs.
ClickHouse describes why Postgres and ClickHouse are becoming the default combination for AI applications, which demand real-time transactions and analytics on massive data volumes. The post covers AI's data-growth demands, the collapse of traditional OLTP/OLAP boundaries, and ClickHouse's investments in tools like PeerDB/ClickPipes for CDC, pg_clickhouse for cross-database querying, and pg_stat_ch for observability.
Article explores how chDB (ClickHouse embedded) can serve as a local data engine for AI agents, reducing latency and instability from network calls by embedding a full query engine in the agent process. Covers three use cases: agent memory using append-only MergeTree with vector search, chDB as a federation hub, and token/cost savings from eliminating network failures and retry loops.
ClickHouse shipped an LTS channel update under the v25.8 stable line, bringing the latest cumulative fixes and incremental improvements.
ClickStack now generates dashboards and connected investigative workflows from natural language prompts using an AI Notebook that explores telemetry, validates assumptions, and explains its reasoning. The same MCP toolchain powers both ClickStack's built-in AI agent and external agents like Claude, Cursor, and Codex, allowing teams to create and refine dashboards through their preferred tools.
A single ClickHouse LTS patch release landed, carrying unspecified bug and stability fixes.