HighlightGoogle Cloud

Knowledge Catalog: Gemini context graph for agents and governance

Google Cloud overview of Knowledge Catalog (formerly Dataplex Universal Catalog): an AI-powered catalog that builds a context graph to ground agents.

As of April 10, 2026, Dataplex Universal Catalog is renamed Knowledge Catalog while API, client library, CLI, and IAM names stay the same. The product is described as a Gemini-powered catalog that extracts semantics from structured and unstructured data into a dynamic context graph for discovery, policy, and agent grounding to reduce hallucinations.

Based on: Knowledge Catalog overview | Google Cloud Documentation · Google Cloud

HighlightDatabricks

Unity Catalog tags for search, ABAC inheritance, and governed keys

Databricks docs on applying key-value tags to Unity Catalog securable objects, including ABAC inheritance behavior and governed tags.

Tags on Unity Catalog securables are key attributes with optional values used to organize objects and improve workspace search for tables and views. Tag text is stored as plain text and may replicate globally, so sensitive content must not go in tags. For ABAC evaluation, tags on higher objects implicitly apply beneath them but not to columns; governed tags add account-level allowed keys and rules.

Based on: Apply tags to Unity Catalog securable objects | Databricks on AWS · Databricks

HighlightSnowflake

Semantic views put business metrics and entities in the database

Snowflake overview of Semantic Views: schema-level objects that define metrics, entities, and relationships for consistent business meaning and Cortex Agents.

A Semantic View is a schema-level Snowflake object that stores business metrics, entities, and relationships as metadata atop physical data. It supplies consistent definitions across applications, is queryable with SELECT, usable by Cortex Agents, and shareable via listings. The docs argue this layer fixes the gap between business language and opaque column names and stops inconsistent metric calculations across reports.

Based on: Overview of semantic views | Snowflake Documentation · Snowflake

HighlightAstronomer

Astronomer guide: schedule Airflow DAGs on asset updates

Astronomer Learn guide on Airflow assets for data-aware DAG scheduling beyond cron, with cross-team dependency examples.

The guide explains Airflow assets: explicit, visible relationships between DAGs that access the same data, and scheduling on asset updates instead of only time-based methods. An asset may be a table, object-storage file, fine-tuned LLM, or an abstract completed process; the guide covers concepts, basic schedules, updates, UI dependencies, and advanced options.

Based on: Basic asset-based scheduling in Apache Airflow® - Astronomer · Astronomer

HighlightMicrosoft

OneLake catalog centralizes find, govern, and secure for Fabric items

Overview of Microsoft Fabric’s OneLake catalog for discovering items, reviewing governance posture, and managing security roles.

OneLake catalog is a centralized Fabric place to find, explore, and use items and to govern owned data. It is reachable from the Fabric navigation pane and embedded in Teams, Excel, and Copilot Studio; metadata can also be searched via the Catalog Search REST API. Explore, Govern, and Secure tabs cover browsing with filters, governance posture insights, and unified workspace and OneLake security role management.

Based on: OneLake catalog overview - Microsoft Fabric · Microsoft

HighlightSnowflake

Snowflake Horizon Catalog pairs discovery with semantic context for agents

Snowflake documentation introducing Horizon Catalog as an interoperable catalog with governance, lineage, and semantic views for AI.

Horizon Catalog is described as an agentic catalog for data inside and outside Snowflake, open across engines, data, and clouds. It targets discoverability, business context for AI, and trust via protection, quality, lineage, and AI governance. Features include Iceberg interoperability, Internal Marketplace, semantic views, and column-level lineage spanning Snowflake, external systems, BI, and OpenLineage.

Based on: Snowflake Horizon Catalog | Snowflake Documentation · Snowflake

HighlightOpenMetadata

OpenMetadata docs cover discovery, lineage, contracts, and MCP for agents

OpenMetadata documentation hub for metadata discovery, lineage, governance, data contracts, and AI/MCP integrations.

OpenMetadata’s docs present a platform to document, discover, and govern data assets, with quick start, production, and upgrade paths. Guides span discovery, lineage, observability, data contracts, and governance; highlights include Context Center, MCP server and AI SDK for agents, new connectors, and dimensional data-quality validation.

Based on: OpenMetadata Documentation - OpenMetadata Documentation · OpenMetadata

HighlightAnthropic

Anthropic open-sources MCP as a universal AI-to-data connection standard

Anthropic announces the Model Context Protocol for two-way links between AI tools and data sources via servers and clients.

On 25 Nov 2024 Anthropic open-sourced MCP to connect AI assistants to content repos, business tools, and development environments under one protocol instead of per-source integrations. Release includes the spec and SDKs, local server support in Claude Desktop, an open-source server repo, and pre-built servers for systems such as Google Drive, Slack, GitHub, Git, Postgres, and Puppeteer.

Based on: Introducing the Model Context Protocol · Anthropic

HighlightDatabricks

Unity Catalog: one governance layer under Databricks data and AI assets

Databricks docs on Unity Catalog—access control, lineage, and auditing for data and AI via a three-level object model.

Unity Catalog is Databricks’ unified governance layer for data and AI. When enabled, it enforces access control, tracks lineage, and logs activity under workspace interactions. Assets are securable objects in a catalog.schema.object namespace; tables and volumes may be managed or external. An open-source implementation also exists.

Based on: What is Unity Catalog? | Databricks on AWS · Databricks

HighlightSnowflake

Cortex Analyst: managed text-to-SQL over Snowflake structure via REST

Snowflake docs on Cortex Analyst—an LLM feature for natural-language questions on structured data, exposed as a REST API.

Cortex Analyst is a fully managed Snowflake Cortex feature that answers business questions on structured Snowflake data in natural language without users writing SQL. It ships as a REST API for embedding in apps and aims to produce accurate text-to-SQL without teams building custom RAG stacks or managing GPUs. Snowflake recommends transitioning to Cortex Agents, which includes Analyst capabilities.

Based on: Cortex Analyst | Snowflake Documentation · Snowflake

HighlightCube Dev

Cube’s semantic layer as the shared surface for BI, embed, and AI agents

Cube docs: agentic analytics on an open-source semantic layer for internal BI and embedded analytics.

Cube is positioned as an agentic analytics platform on a semantic layer for internal BI and embedded analytics. Cube Core centralizes metrics, joins, access rules, and caching upstream of BI tools, apps, and agents. Agents query via Semantic SQL through the semantic layer runtime with validation and access policies, not by writing free-form warehouse SQL.

Based on: Introduction - Cube Documentation · Cube Dev

Highlightgithub.com

Vault-LD: an open spec for Markdown vaults as linked data

An open format for knowledge that enables two-way conversion between Markdown notes and RDF graphs.

Vault-LD is a specification for converting Markdown notes into RDF graphs, enabling the sharing of knowledge between humans and machines. It uses YAML frontmatter to map onto YAML-LD, allowing for round-trip conversions between Markdown and RDF. This approach enables business semantics to be integrated into existing wiki systems, and vice versa.

Based on: GitHub - The-Knowledge-Graph-Guys/vault-ld: Vault-LD: an open spec for Markdown vaults as linked data. YAML-LD frontmatter + a shared @context = an RDF knowledge graph. Prose for humans and LLMs, triples for machines. · github.com