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Announcement reads
Announcement posts on Yomu, summarised newest first.
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Announcement posts
Databricks partners with OpenAI on GPT-5.5
Databricks announces a partnership with OpenAI around GPT-5.5, described as OpenAI’s strongest frontier model for enterprise agentic work, complex document reasoning, and long-horizon coding agents. The model powers Codex and is presented as able to research, analyze data, create documents and spreadsheets, operate software, use tools, check outputs, recover from ambiguity, and continue through multi-part tasks. Databricks evaluated it on OfficeQA, a benchmark built from 89,000 pages of U.S. Treasury Bulletins that tests document retrieval, table interpretation, and precise calculation. With retrieval handled, GPT-5.5 scored 64.66% versus GPT-5.4’s 57.14%; in the full-agent OfficeQA Pro Agent Harness, it scored 52.63% versus 36.10%, representing reported improvements of roughly 13% and a 46% reduction in errors.
Introducing the Sales Agent Blueprint
The Sales Agent Blueprint is a newly announced guide for sales, revenue, and AI transformation leaders seeking to launch and scale AI for inbound sales. It addresses manual inbound workflows in which leads wait in queues, making outcomes depend on team timing and capacity rather than buyer intent, and describes agents that engage buyers, qualify leads, and route high-intent opportunities in real time. The first available track, “Launch it,” covers understanding Sales Agents, building a business case, deciding whether to buy or build, evaluating performance with a five-step framework, planning deployment, and continuously training, testing, deploying, and optimizing the system. A second track, “Scale it,” is coming soon and will focus on redesigning the buyer journey, AI-first systems and ownership models, and pipeline generation and scaling.
Announcing the Public Preview of Lakeflow Designer
Databricks announces the Public Preview of Lakeflow Designer, a visual, no-code, AI-native experience for data preparation and analytics built directly into the Databricks platform. It targets analysts, domain experts, and other less technical users with drag-and-drop workflows and natural-language authoring, while representing each transformation as an operator with previews. Genie Code can use Unity Catalog metadata, descriptions, lineage, popularity, and example queries to generate or modify workflows, inspect transformation results, and iterate when needed. Every visual transformation produces production-ready Python code that can be reviewed, versioned in Git, and scheduled through Lakeflow Jobs, while users pay for compute rather than per-user licenses. The preview is available in all workspaces, although an administrator may need to enable Visual data prep in the preview portal.
Introducing HoosierShare, Indiana University’s innovative program with Uber
Indiana University Bloomington has partnered with Uber to launch HoosierShare, a 24/7 shared-ride option for verified students, faculty, and staff traveling around Bloomington and campus. Powered by Uber’s Closed Loop Share feature, the program matches IU riders heading in the same direction, permits up to two other individual riders, and can cost up to 20% less than standard UberX fares. Enrollment requires an Uber account, IU-credential verification, and use of the designated IU Ride service zone, where every trip must start and end; HoosierShare allows one person per booking. The program is intended to expand transportation access and support IU sustainability goals, while the first 10,000 enrollees receive $5 off their first trip and shared rides are designed to add no more than eight minutes on average.
Announcing Fin for Sales: A new role for Fin Customer Agent
Fin for Sales is a new role for Fin Customer Agent that handles inbound sales from initial engagement through qualification, routing, and conversion. It starts conversations across messenger and email, uses page context and smart suggestions, and applies playbooks, knowledge, enrichment, and memory to answer questions, handle objections, and personalize discovery. Fin qualifies prospects in real time by collecting details about use case, budget, fit, and timing, syncing structured context and conversation history to a CRM, and directing leads to sales teams or self-serve paths. It can book meetings through Chili Piper or Calendly, initiate trials or subscriptions, and hand off an AI-generated summary to representatives. The announcement reports early results including Fellow booking 18 previously unreachable meetings in January at around 48% conversion, while positioning Fin for Sales as part of a shared Customer Agent platform.
ClickHouse integrates with Lakehouse Runtime Catalog
ClickHouse 26.2 introduced a beta integration with Google's Lakehouse Runtime Catalog, enabling direct queries on Google Cloud Lakehouse Apache Iceberg tables without data movement or metadata syncing. The system communicates with Google Cloud Storage through the Iceberg REST Catalog endpoint at BigLake using Google Application Default Credentials for OAuth authentication. Users create a database using the DataLakeCatalog engine configured either with a local credentials JSON file or with explicit inline OAuth parameters. Once connected, analysts can query external Iceberg tables directly or ingest datasets into native MergeTree tables for repeated, low-latency workloads. Upcoming enhancements will add write capabilities for Iceberg tables and dedicated connection management tools inside the ClickHouse Cloud interface.
ClickHouse Cloud on Google Cloud Now Powered by Google Axion Processors: 30–55% Faster Queries, ~15% Fewer Compute Credits
ClickHouse Cloud transitioned its Google Cloud infrastructure from x86 N2D instances to Arm-based Google Axion C4A instances to resolve CPU throttling and performance ceilings under peak query loads. The migration leverages Axion's dedicated physical cores per vCPU, higher memory bandwidth, local SSDs, and improved thermal and clock frequency stability. In automated ClickBench testing across 100 million rows, every query in the 43-query benchmark improved by 30% to 55%, while data load times decreased by approximately half. A production analysis of 38 migrated customer services demonstrated an average 15% reduction in compute credits consumed per query across diverse production workloads. ClickHouse Cloud executed this rollout using automated validation checks, scheduled maintenance windows, and capacity coordination with Google Cloud.
Supabase is now ISO 27001 certified
Supabase announces certification to ISO/IEC 27001:2022, covering its information security management system across Database, Auth, Storage, Realtime, Edge Functions, and the Data API. The post explains that ISO 27001 defines how an ISMS manages information risk through documented policies, processes, and controls, with certification awarded by an accredited third-party auditor after documentation review, interviews, evidence sampling, and control testing. Preparation included formalizing informal policies, documenting risk assessments, running internal audits, selecting an auditor, and mapping existing SOC 2 controls to ISO 27001 Annex A to avoid duplicate evidence collection. The certificate is valid for three years with annual surveillance audits, and Team or Enterprise customers can request it from their dashboard; the certification is presented alongside existing SOC 2 and HIPAA support.
Introducing the Databricks Excel add-in for business users
Databricks has introduced the Excel Add-in, now in public preview, to let business users import and analyze lakehouse data directly in Excel without writing SQL or configuring ODBC drivers. Built on Databricks SQL and Unity Catalog, it provides point-and-click access to tables and metric views, native Excel pivot tables, refreshable results, reusable Workspace queries, and optional saved SQL. Metric views let data teams define business semantics once while Unity Catalog centrally manages permissions and controls, helping avoid duplicated logic and metric drift. The preview supports selecting tables and metric views, parameterized custom functions, manual refreshes, pivot-table filtering, query reuse, and workspace changes; scheduled refresh, AI integrations, and other usability improvements are planned next.
ClickHouse expands strategic collaboration with Google Cloud, bringing deeper integration, cloud flexibility, and next-generation performance
ClickHouse announced an expanded strategic collaboration with Google Cloud introducing four core architectural milestones. First, native integration with Google Cloud Lakehouse allows direct sub-second queries across data lakes and ClickHouse deployments without ETL pipelines or data duplication. Second, the Bring Your Own Cloud deployment model lets organizations run managed ClickHouse Cloud inside their own Google Cloud Virtual Private Cloud to retain data sovereignty and network controls. Third, ClickHouse Cloud is migrating automatically to Google's custom Arm-based Axion processors, boosting query throughput and cost efficiency for analytical workloads without requiring application changes. Finally, a new ClickHouse MCP server integration connects ClickHouse with Google Antigravity to enhance developer and analyst workflows.
Bridging data science and marketing: Databricks unveils Delta Sharing integration for Adobe Experience Platform and agentic marketing workflows
Databricks and Adobe announce three partnership milestones aimed at connecting governed Lakehouse data with marketing activation in Adobe Experience Platform. The changes include Delta Sharing support for zero-copy access, a Databricks Genie connection to Adobe Marketing Agent through Model Context Protocol (MCP), and an upcoming Adobe Marketing Agent beta for the Databricks Marketplace. Using Unity Catalog as the source, Experience Platform can access shared tables and views as virtual tables, while Adobe Data Distiller queries live Databricks data without copying underlying records. Through MCP, agents in both platforms can use governed datasets, metadata, models, campaign metrics, SQL Warehouses, and Model Serving endpoints with natural-language interactions. The stated outcome is a shared, real-time context for audience creation, campaign analysis, closed-loop attribution, and model improvement, while reducing data movement, duplication, latency, egress, and governance overhead.
Take Control: Customer-Managed Keys for Lakebase Postgres
Lakebase Customer Managed Keys (CMK) gives regulated enterprises control of the root of trust through customer-owned keys from AWS KMS, Azure Key Vault, or Google Cloud KMS. Because Lakebase separates persistent storage from elastic Postgres compute that can scale to zero, CMK protects both layers and their caches rather than storage alone. Its hierarchical envelope-encryption model uses the CMK as the root, transient Key Encryption Keys (KEKs) to wrap Data Encryption Keys (DEKs), and unique DEKs for each data segment, while plaintext CMKs remain in the customer’s KMS. Account Admins bind a configured key to a workspace, after which new projects inherit the CMK; rotation needs no re-encryption or downtime, revocation terminates compute instances, and audit services record cryptographic operations.
Get hands-on with agents, vibe coding and more at Data+ AI Summit
Data + AI Summit returns to San Francisco from June 14 through June 18, 2026, with Databricks Training and Certification offering more than 20 hands-on courses across AI agents, vibe coding, data engineering, and Lakebase. Training-exclusive days on Sunday and Monday are designed to provide dedicated learning time, while sessions continue during the conference week. New courses cover agentic development with Genie Code, Claude Code, Cursor, MCP servers, and structured prompting; production agent deployment with MLflow’s ResponsesAgent framework and tracing; Lakeflow Spark Declarative Pipelines; and AI/BI dashboards and Genie Spaces. Onsite certification exams cost $100 plus taxes, a 50% discount, and seven listed exams are available. The Learning Hub adds labs, skills assessments, customized learning plans, and community access.
Launch Week 6: Wrap Up
Launch Week 6 concluded with five feature releases and one announcement covering email automation, content creation, developer tooling, tracking, and community events. Automations orchestrates lifecycle emails from application events with delays, waits, conditions, test runs before publishing, and real-time visibility into runs. The AI-extended editor turns URLs into on-brand drafts, supports inline block editing and mistake detection, and connects to agentic stacks through the Resend MCP server, while CLI 2.0 adds React-file sending, automation and event management, webhook listening, and AI-agent skills across more than 50 API commands. Custom tracking domains support click and open tracking, React Email 6 adds an embeddable editor and extensions API, and Resend Forward was announced as a San Francisco conference scheduled for October 21.
Terraform & OpenAPI for ClickPipes is now Generally Available
ClickHouse Cloud announced the general availability of ClickPipes resources in Terraform and OpenAPI, expanding infrastructure-as-code support across its managed data ingestion platform. The release resolves previous beta gaps by adding full connector coverage, including Change Data Capture for Postgres, MySQL, and MongoDB, alongside support for BigQuery, Azure Blob Storage, and reverse private endpoints. Operators can provision new data ingestion pipelines, pause or resume sync operations, and scale resources programmatically through OpenAPI endpoints or the ClickHouse Terraform provider starting at version 3.14.0. Existing ClickPipes can also be imported into Terraform state using native import blocks and automated configuration generation. Although SSH tunneling remains under active development, nearly all UI capabilities now map cleanly to programmatic interfaces.
Resend Forward: A Conference about Craft
Resend Forward is a newly announced conference for developers who treat software as a craft. It will take place in San Francisco on October 21st and run for a full day focused on the craft behind building software. The program will feature leaders working at the edge of software and AI, with special emphasis on practical tools and ideas that attendees can use. Food, conversations, and swag are planned between sessions, while the stated goal is to connect people who care about quality, share what’s working, and leave them more excited to build. More details are expected in the coming months; tickets will go on sale after the waitlist notification.
Introducing Genie Agent Mode
Databricks introduces Agent mode in Genie spaces, an agentic process that plans, explores, and reasons over data to answer business questions. For each question, Genie can confirm an issue, test potential contributors through multiple queries, reflect on results, and decide what to investigate next, using Unity Catalog metadata and author-defined semantics from the Genie space. It produces a findings report with quantified results, identified contributors, visualizations, and references to the underlying SQL, and may include actionable recommendations. The agent scales its reasoning to task complexity, using validation for straightforward questions and more planning for multi-step investigations; in AI/BI Dashboards, Genie uses Agent mode by default. Workspace admins enable the feature in Workspace Previews, after which users turn on the Agent toggle in Genie spaces; API support and unstructured document analysis are planned additions.
Governing coding agent sprawl with Unity AI Gateway
Databricks introduces coding agent support in Unity AI Gateway to address security, cost, and visibility challenges created by organizations using multiple coding tools. The gateway provides a unified governance hub for Codex, Cursor, and Gemini CLI, combining access controls, usage statistics, operational observability, cost management, guardrails, and inference capacity. Agent access can be governed centrally, with audit logs in Unity Catalog, MCP servers managed in Databricks, MLflow tracing, shared cost limits, and coding metrics and traces ingested into Unity Catalog-managed Delta tables through OpenTelemetry. The announcement says developers can authenticate with Databricks credentials across connected services, use centralized budgets and model capacity, and let organizations analyze adoption, developer velocity, and rate-limit pressure in the lakehouse; support for Cursor, Gemini CLI, and Codex CLI is available to all Databricks customers.
React Email 6.0
React Email 6.0 announces an open-source visual editor as its centerpiece, available as a standalone package that outputs email-ready HTML for major inbox providers. The editor is built in two layers: a core that works without configuration and a composable API using EmailNode for custom extensions, with optional themes for styling. The release ships new authentication and e-commerce templates from Character Studio, available as React Email templates or Figma files. All components are now unified into a single package except the editor, simplifying imports and reducing package management. The project has reached 2 million weekly downloads, a 108% increase since the last major release five months ago.
April 2026 newsletter
ClickHouse 26.3 LTS introduces experimental materialized common table expressions, WebAssembly user-defined functions, and enables asynchronous inserts by default. Alongside the release, Alasdair Brown launched clickhousectl to manage local installations and cloud deployments with built-in agentic development features and authentication safeguards. User case studies show Goldsky accelerating historical blockchain backfills by twelve times through direct ClickHouse reads using Apache Arrow, replacing their prior Kafka and Avro architecture. Additionally, the engineering team redesigned the full-text search index with front-coding compression, a sparse lookup index, and adaptive posting lists to handle expensive random reads on object storage. ClickHouse also previewed community architecture patterns for lightweight SIEM setups using Clickdetect and Wazuh log collection.
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