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Announcement reads
Announcement posts on Yomu, summarised newest first.
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Announcement posts
Executable UDFs are now in public beta on ClickHouse Cloud
Executable UDFs are available in public beta on ClickHouse Cloud, allowing Python functions packaged as zip files to be called from SQL like built-in functions. ClickHouse runs them in a pool of long-lived sandboxed processes, keeping model code near the data and supporting use in ad-hoc queries, joins, and materialized views. The demonstration wraps a roughly 270K-parameter PyTorch autoencoder in an embed_trade UDF that consumes 14 features, produces a 32-dimensional embedding and reconstruction error, and scores trades as they enter through a materialized view. Training uses streamed Parquet chunks, incremental StandardScaler fitting, early stopping, and saved model artifacts; the deployed pool keeps the 2MB model hot, so inference occurs once per trade and downstream queries read the resulting table.
Databricks at SIGMOD 2026
Databricks says its work on Spark Declarative Pipelines will be featured at SIGMOD 2026, where it received an honorable mention award, and that it will attend June 1–5 in Bangalore as a Platinum Sponsor. The announcement describes two mix-and-match incremental programming paths in SDP: materialized views maintained by the Enzyme engine and streaming APIs with stateful operators and watermarks. Enzyme applies incremental view maintenance to ETL, supporting production materialized views with joins, window functions, aggregations, combinations of these patterns, non-deterministic functions such as current_date(), and AI-specific functions. It also supports Python as well as SQL, detects changes in materialized-view definitions, chooses partition- or row-level updates, selectively caches intermediate results, and uses a cost model based on plan information and prior executions; the post says it outperforms an anonymized competing solution.
Advancing Apache Iceberg on Databricks: Iceberg v3 GA, Open Sharing, and Unified Governance
Databricks announces a broad set of Apache Iceberg capabilities in Unity Catalog, spanning General Availability, previews, and beta releases. Managed Iceberg is GA, supporting table creation, reads, writes, optimization, governance, and sharing, while Iceberg v3 adds deletion vectors, row tracking, and VARIANT across managed, foreign, and UniForm-enabled tables. Unity Catalog also federates external catalogs, vends credentials, shares live data with Iceberg REST-compatible clients through Delta Sharing, and applies attribute-based access control during server-side scan planning for supported external engines. These capabilities are presented as a unified approach to open APIs, cross-engine governance, zero-copy sharing, and production performance without copying data. The post also outlines Iceberg v4 and a proposal for Delta 5.0 to adopt an adaptive metadata tree structure.
Anthropic opens Milan office to support Italian enterprise, research, and developers
Anthropic will open a Milan office, its sixth in Europe, to work with Italian companies and developers building and scaling with Claude responsibly and to join Italy’s broader conversation about AI. Led by Thomas Remy, Head of Southern Europe, the team already works with companies including Generali Group, Unipol Group, Angelini Pharma, Bracco Group, Enel Group, and Pirelli. A partnership with JAKALA has deployed Claude across more than 3,000 seats to free up roughly 70% of senior team time for higher-judgment client work, while Satispay compressed an 18-month roadmap into seven months. The office follows the presentation of Magnifica Humanitas, where Chris Olah addressed AI ethics, and will also support research, culture, and design through initiatives such as an Alcova Milano workshop.
Supercharge your integration workflow with the Google Pay & Wallet Developer MCP server
Google Pay & Wallet Developer MCP server is announced to help AI assistants and IDEs complete Google Pay and Google Wallet API integrations with less context switching. It uses Model Context Protocol to connect tools including Antigravity, Cursor, and Visual Studio Code with current documentation, account details, and integration status. Its search_documentation tool applies Retrieval-Augmented Generation to return answers and code samples from official developer sites, while other tools validate Wallet pass JWTs or JSON, expose performance metrics and error trends, and manage merchant accounts and Google Pay API integrations. The stated goal is to reduce friction, improve accuracy with current documentation and real account data, and speed troubleshooting from setup through launch. A public guide and tool reference are available, with further capabilities planned based on developer feedback.
Open House 2026 Day 2: 10 years of open source and what the ecosystem is building next
Open House 2026 Day 2 recaps ClickHouse’s tenth year as an open-source project and the ecosystem forming around its data platform. The event reported more than 2,600 contributors, nearly 48,000 GitHub stars, over 200 integrations, and the launch of the House Mates partner program. Announcements included Fivetran’s generally available ClickHouse Cloud destination, a Google Cloud Dataflow Pub/Sub template, Sigma’s public-beta connector and ETL Cache Layer, and a ClickHouse dbt Fusion adapter available in alpha through the CLI. The recap also describes MCP and agent-oriented observability work, including a ClickStack MCP server that translates investigations into optimized ClickHouse queries. Internal testing reported up to 25% fewer tool calls, 2.5 times greater consistency, and nearly 20% better evaluation results.
Open House observability announcements: MCP server, AI Notebooks, and ClickStack Cloud
At Open House, ClickHouse announced three observability updates: ClickStack Cloud entered private preview, AI Notebooks entered beta for Managed ClickStack, and a ClickStack MCP server was introduced in open-source ClickStack. ClickStack Cloud is a fully managed, serverless platform that accepts OpenTelemetry data through a managed endpoint, while Managed ClickStack is generally available for teams controlling collectors, ingestion, compute sizing, schema design, and tuning. AI Notebooks provide a persistent, shareable investigation workspace in which prompts, queries, charts, reasoning steps, findings, branches, intermediate results, and generated queries remain visible and editable. The MCP server exposes the investigative tools used by Notebooks to external agents, routing requests through optimized searches, aggregations, and visualizations rather than relying entirely on ad hoc SQL generation; it can also persist findings in dashboards. Together, the announcements present a choice between managed convenience, operational control, and programmable observability workflows.
Thank you for building with us
At its 2026 user conference in San Francisco, ClickHouse reports surpassing 4,000 customers and $250 million in annual run-rate revenue, while marking nearly ten years since Alexey Milovidov open-sourced the database. The company attributes its growth to a community of contributors and describes use across AI products, financial services, observability, analytics, and infrastructure. New offerings include ClickHouse Agents, a fully managed agentic analytics service powered by Anthropic’s Claude; CostBench, an open benchmark using each warehouse’s real billing model; and House Mates, a partner program launching with more than 50 partners across six continents. Additional updates include Managed Postgres in public beta, Managed ClickStack and Langfuse for AI-era observability, generally available full-text search, and automatic JOIN optimization, with cost-performance identified as the central constraint for high-concurrency, low-latency workloads.
ClickHouse tops $250M ARR and 4,000 customers, launches Claude-powered agents at Open House 2026
At Open House 2026, ClickHouse announced that its serverless cloud offering exceeded $250 million in annual run-rate revenue and reached 4,000 customers, with ARR more than tripling year-over-year and more than 1,000 net new customers added since January. The company launched ClickHouse Agents, a fully managed, no-code agentic analytics service powered by Anthropic’s Claude, with a chat interface, sandboxed code interpreter, artifacts, skills, memory, multi-agent workflows, and MCP-compatible integrations. It also published CostBench, an open benchmark applying each vendor’s real compute billing model to the same workload; ClickHouse Cloud was reported to have 23x better cost-performance than the nearest cloud data warehouse. Other announcements included Managed Postgres in public beta, managed ClickStack, generally available full-text search, cross-region replication, and the House Mates partner program.
amazon.science
Amazon Research Awards recipients announced
Amazon Research Awards has announced 70 award recipients across 49 universities in 11 countries for its fall 2025 funding cycle. The funded research spans six distinct tracks: AI for Information Security, Agentic AI, Automated Reasoning, AWS Cryptography, Cybersecurity and Anti-Abuse Technologies, and Sustainability. Each selected academic team receives unrestricted financial grants, AWS Promotional Credits to access specialized cloud AI and machine learning services, and access to more than 700 Amazon public datasets. Awardees are paired with an Amazon research contact who provides advisory support, consultation, and access to company training sessions. Furthermore, the program explicitly encourages recipients to publish their discoveries, deliver presentations at Amazon offices worldwide, and release associated software implementations under open-source licenses.
Introducing Always-On pricing: automatic savings for Databricks Lakebase
Databricks introduces Always-On pricing for Lakebase, offering a lower rate for baseline compute while retaining elastic autoscaling. On any Lakebase Postgres Autoscaling project, operators turn off scale-to-zero and set an autoscaling range; the minimum capacity becomes the baseline, which receives the lower rate after 24 hours of continuous use. Capacity above the minimum continues to autoscale up to the configured maximum and is billed at standard Autoscaling rates, while users can re-enable scale-to-zero later. The pricing targets established workloads with a consistent activity floor; intermittent or new workloads can retain scale-to-zero to avoid paying for idle hours and uncertain baseline estimates. The announcement says the baseline price is 25% lower, and an additional 50% promotional discount runs through January 31, 2027.
Announcing Lakebase Change Data Feed (CDF)
Lakebase Change Data Feed (CDF) is available in Public Preview to reduce the manual effort of moving data from operational databases into downstream systems. The feed is enabled once for all tables in a project, stored and governed in Unity Catalog Managed Tables, and readable by engines, models, and agents without separate extraction pipelines. From one shared feed, teams can build streaming pipelines with SDP, create materialized views with DBSQL, or compute and store embeddings with Agent Bricks, while consumers remain isolated from the primary operational workload. The announcement positions Lakebase as the native Bronze layer in a medallion architecture, complementing Synced Tables and providing governance and lineage across the data lifecycle.
Role-Based Access Control for humans and agents
Modal announced Role-Based Access Control for Team and Enterprise users, enabling teams to grant agents and humans precise workspace access within Environments. Environments are workspace subdivisions with dedicated storage, apps, and limits, commonly set as dev-staging-production or per-developer. These now act as enforceable security boundaries through Restricted Environments, where workspace members are read-only by default and only explicitly assigned users or service users can deploy or manage resources. The RBAC system distinguishes human developers, AI agents, CI deployers, and external callers with recommended identities and environment access patterns, such as service users for agents and proxy auth tokens for external callers. Built on a new permissions architecture running for months, RBAC ties into Audit Logs and is the first of planned tools; future additions include spending limits and programmatic permissions.
Introducing House Mates: the ClickHouse partner community and program
ClickHouse introduces House Mates, a partner community and program bringing together more than 60 ISV, consulting, services, and channel partners to help customers build, scale, and procure ClickHouse solutions. The inaugural cohort includes over 25 ISVs developing validated, production-ready integrations—among them dbt Labs, Fivetran, Temporal, Grafana Labs, Confluent, and Sigma—and over 35 consulting, services, and reseller partners trained and certified through ClickHouse Academy. The program addresses an ecosystem with more than 200 integrations in the wild, demand for trusted regional expertise and preferred procurement channels, and the limits of managing partnerships through one-off arrangements. Its Ignite, Accelerate, and Prime tiers define progression from enablement and first projects or integrations to deeper go-to-market, incentives, co-innovation, and strategic collaboration at scale, while customers gain validated tools, regional experts, and preferred purchasing routes.
5 countries, 12 days, one ClickHouse: inside Alexey's APJ AI Tour
ClickHouse CTO and creator Alexey Milovidov completed a 12-day APJ tour spanning India, Singapore, Indonesia, South Korea, and Japan, with customer meetings, industry events, executive sessions, press interviews, and community meetups. The itinerary covered six cities and included three Confluent Data Streaming World Tour events, four ClickHouse meetups, and more than 10 enterprise customer meetings across varied industries and workloads. Discussions centered on real-time analytics, connected products, and analytics at industrial scale, while in-person conversations supplied feedback that the post says helps improve ClickHouse. The trip concluded with the ClickHouse Japan Launch Event on April 27, marking the company’s official entry into that market. The account presents physical presence as a way to extend ClickHouse’s open-building culture beyond GitHub and strengthen its feedback loop with APJ customers and communities.
Open House 2026 Day 1: Real-time data without lock-in and what teams can build next
ClickHouse’s Open House 2026 Day 1 announced updates spanning ClickHouse Cloud, Postgres, distributed query execution, observability, AI agents, and lakehouse interoperability. ClickHouse Postgres entered public beta with local NVMe storage, high availability, S3-backed point-in-time recovery, and a native CDC path into ClickHouse; early benchmarks reported more than 5x the transactions per second of AWS RDS. Multi-stage distributed queries repartition intermediate data between stages to scale joins and high-cardinality aggregations, reducing TPC-H SF100 runtime from 117.6 seconds on one node to 54.7 seconds on eight nodes. Additional launches included a Claude-powered ClickHouse Agents public beta, an AI-enhanced query builder, Monitoring v2, and Langfuse V4’s reported 200x query performance improvement, while the wrap-up framed the releases around real-time systems without lock-in.
Introducing ClickStack Cloud: Serverless observability powered by ClickHouse
ClickStack Cloud is entering private preview as a fully managed, serverless observability service built on ClickHouse for teams that want ClickHouse-powered logs, metrics, and traces without operating the underlying infrastructure. Users send OpenTelemetry data to a managed OTLP endpoint, while the service handles ingestion, durable buffering through an object-storage-backed event queue, scaling, storage, and query serving, then exposes telemetry in the ClickStack UI with integrated authentication and RBAC. The preview separates ingestion and query resources and is developing automatic tuning based on query patterns, including materialized fields, primary-key adjustments, materialized views, and indexes. Dedicated query compute for agentic and high-volume analytical workloads is planned after the preview, while pricing remains unfinished and the existing Managed ClickStack offering remains intended for teams requiring direct infrastructure and schema control.
Postgres managed by ClickHouse is now in beta
ClickHouse Cloud has launched a fully managed Postgres service in beta to combine transactional and analytical workloads within a single platform. Backed by local NVMe storage, the service provides up to ten times faster transactional performance alongside native change data capture into ClickHouse. Developers can query across both transactional and analytical layers using the pg_clickhouse extension without managing custom data pipelines. The platform also offers managed migration workflows via ClickPipes, database branching, point-in-time recovery, high availability with up to two standbys, and support for over ninety PostgreSQL extensions. More than fifty virtual machine configurations are available, ranging from single vCPU instances to clusters with ninety-six vCPUs and sixty terabytes of NVMe storage.
Introducing multi-stage distributed query execution in ClickHouse Cloud
ClickHouse Cloud introduced multi-stage distributed query execution to improve scaling for large joins and high-cardinality aggregations across multi-node clusters. Prior execution models relied on physical sharding or parallel replicas, which lacked the ability to freely repartition intermediate data between query stages. By splitting query plans into stages connected by exchange operators, worker nodes can shuffle, broadcast, scatter, or gather intermediate data during execution. In TPC-H benchmarks at scale factor 100 on eight nodes, total query time dropped from 117.6 seconds to 54.7 seconds, with scan-dominated queries showing near-linear 7.4x speedups. While currently in private preview with a rule-based planner, future work includes developing a cost-based optimizer to select optimal aggregation and join strategies automatically.
Your agent can't fix what it can't see
Coding agents frequently fail to resolve production bugs when restricted to source code alone, as they lack critical runtime context such as stack traces, breadcrumbs, and environment data. To bridge this gap, Sentry introduces Sentry MCP and the Sentry CLI to supply agents and developers with structured production telemetry. The Model Context Protocol integration supports clients like Claude Code, Cursor, and VS Code, while the CLI enables scripted workflows. When an alert triggers, an agent uses trace and commit metadata to diagnose root causes across service boundaries, generate regression tests, and open draft pull requests. Over six months, the Autofix pull request merge rate increased from 41% to 46%.
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