jerqi commented on code in PR #109:
URL: https://github.com/apache/gravitino-site/pull/109#discussion_r2663877231


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blog/2026-01-05-gravitino-2025-summary.mdx:
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+---
+title: Apache Gravitino - 2025 Summary
+slug: gravitino-top-level-project
+authors: [roryqi]
+tags: [apache,gravitino,ASF]
+---
+###
+
+### **Introduction**
+
+2025 was a landmark year for Apache Gravitino. The project not only graduated 
as a Top-Level Project (TLP) but also reached its first major stable release, 
version 1.0.0. Throughout the year, the community focused heavily on 
"Contextual Engineering" and "AI-native" metadata management, introducing 
groundbreaking features like the Model Context Protocol (MCP) server, the Lance 
REST service, and a metadata-driven action system. This article summarizes the 
milestones and achievements of Apache Gravitino in 2025.
+
+###
+
+### **Timeline**
+
+Apache Gravitino officially **graduated as an Apache Top-Level Project on June 
3, 2025**, marking a significant maturity milestone.
+
+In 2025, the community released several key versions, including the major 
1.0.0 release and significant feature updates in 0.8.0-incubating, 
0.9.0-incubating, and 1.1.0.
+
+* **2025.01.24: Version 0.8.0-incubating released**
+  * Focused on strengthening AI support with the introduction of the **Model 
Catalog**.
+  * Introduced credential vending for Filesets and new connectors for Flink 
(Iceberg/Paimon).
+* **2025.05.07: Version 0.9.0-incubating released**
+  * Enhanced data governance with a new **Data Lineage interface** 
(OpenLineage compliant).
+  * Added gcli script for better CLI experience and improved security with 
privilege refinements.
+* **2025.09.24: Version 1.0.0 released**
+  * The first stable major release, themed "From Metadata Management to 
Contextual Engineering."
+  * Introduced the **Metadata-driven Action System** (including Statistics, 
Policies, and Jobs).
+  * Launched the **MCP (Model Context Protocol) Server**, enabling AI 
Agents/LLMs to interact directly with metadata.
+  * Implemented unified Role-Based Access Control (RBAC) across catalogs.
+* **2025.11.20: Version 1.0.1 released**
+  * A stability release featuring smarter job templates and improved Python 
client support.
+* **2025.12.19: Version 1.1.0 released**
+  * Added the **Lance REST service** to support vector data for AI workloads.
+  * Introduced a Generic Lakehouse Catalog and support for Hive 3 and 
multi-cluster HDFS filesets.
+  * Hardened security for the Iceberg REST service.
+
+### **Key Features & Improvements**
+
+In 2025, Gravitino evolved from a unified catalog to an active metadata 
control plane. Key technical achievements include:
+
+1. **AI & LLM Integration**: The project positioned itself as an AI-native 
catalog by introducing the **Model Catalog** for managing ML models and the 
**MCP Server** to connect AI agents with data context. The addition of the 
**Lance REST service** in v1.1.0 further solidified support for vector datasets.
+2. **Metadata-Driven Actions**: A new framework allowing users to define 
policies (e.g., TTL, compaction) and execute jobs based on metadata, moving 
beyond passive metadata storage.
+3. **Unified Governance & Security**: Full implementation of **RBAC**, 
credential vending for secure data access (S3/GCS/ADLS), and a unified 
authentication flow for Iceberg REST services.
+4. **Ecosystem Expansion**: Broadened support with new connectors (Generic 
Lakehouse, Hive 3, Flink, Paimon) and enhancements to the **GVFS (Gravitino 
Virtual File System)** for unified file management.
+
+### **Community**
+
+The Apache Gravitino community saw explosive growth in 2025, evolving from an 
incubator project into a Top-Level Project (TLP) backed by a rapidly expanding 
global ecosystem.
+
+* **Top-Level Graduation**: On **June 3, 2025**, the project officially 
graduated to an Apache Top-Level Project, a major milestone marking its 
maturity in community health, vendor-neutral governance, and production 
readiness.
+* **Community Growth (Year-over-Year)**:
+  * **Engagement**: GitHub stars increased by over **130%**, ending the year 
above **2,600**. Forks grew by approximately **150%**, reflecting a surge in 
community-led integrations and local developments.
+  * **Contributor Base**: The active developer community expanded by nearly 
**100%**. Recent major releases, such as version 1.1.0, featured contributions 
from **40+ unique developers** representing a wide variety of global 
organizations.
+  * **Development Velocity**: Development pace accelerated significantly, with 
code commits reaching a lifetime total of over **3,300 commits**.
+  * **Post-Graduation Committer Growth**: July 7, 2025: Chenxi Pan was added 
as Committers. December 15, 2025: Junda Yang and Yangyang Zhong were added as 
Committers.
+* **Production Adopters**:
+  * **Airbnb**
+  * **Pinterest**
+  * **Roku**
+  * **Uber**, etc.

Review Comment:
   Removed.



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