Thank you to all Apache Gravitino contributors, partners, users, and developers. Your contributions, feedback, PRs, discussions, and early trust are what keep this project growing and moving forward. 🧡 We’re proud to be building this community with you.🧡

"All-in-One" Suite 🆚 "Best-of-Breed" Approach Most companies aren’t “all-in” on one platform. Heterogeneous data + AI stacks need metadata freedom, not deeper lock-in. Our latest piece breaks down why ↓

🚀 Gravitino 1.0.1 is out! Smarter job templates, faster metadata performance, stronger catalog reliability, and a smoother Python + UI experience. If you're building AI-native or multimodal data platforms, this release makes your metadata layer faster and more flexible. 👉 Full

🚀 New demo: See how Apache Gravitino unifies relational metadata from Hive, MySQL & PostgreSQL into one consistent catalog. 🔗 Watch the demo: https://t.co/n8v9dGzi7q Create a metalake, add a catalog, and explore everything in the Gravitino web UI—no manual syncing needed. One

🚀 Exploring the Java API for Apache Gravitino! ➡️ https://t.co/dqybSotH1A With full programmatic control over metalakes and catalogs, developers can automate workflows, build custom metadata tools, and integrate seamlessly across apps. The Gravitino Playground makes it easy to

Apache Gravitino’s REST API = metadata control at your fingertips. List. Create. Register. Browse. All from your terminal — instantly reflected in the Web UI. ⚙️ https://t.co/oHFDAMxi7b #ApacheGravitino #DataPlatform #RESTAPI

👻Ghost schemas, 🧟‍♂️zombie tables, spooky silos — Apache Gravitino unites them all. https://t.co/DyOcGHBCjr #Metadata #DataCatalog #ZombieTables #GhostSchemas #HalloweenEdition

Exploring metadata has never been this easy. 🚀 The Apache Gravitino Playground lets you spin up a full demo environment—complete with Hive, Postgres, Spark, Trino, and more—within minutes. 👉 Explore here: https://t.co/fNhiNSgR3c #Datastrato #ApacheGravitino #Metadata

🚀 The next Data for AI Meetup dives into one of the hottest frontiers — how AI Agents and metadata-driven systems are reshaping the future of data infrastructure. 👉 Register here: https://t.co/8D1wwMlniR Hear from engineering leaders at Uber, Pinterest, Datastrato, and VeloDB,

🚀 Apache Doris x Apache Gravitino — Unified metadata for the modern #Lakehouse. Faster queries ⚡️ | Seamless #Iceberg integration 🧊 | Secure multi-cloud access 🔐 Dive in 👇 🔗 https://t.co/HOpKmj7bZd #ApacheDoris #ApacheGravitino #OpenSource #DataGovernance #Datastrato

🚀 Webinar: Building an AI-Ready Data Stack Oct 30 • 5–6PM EST AI needs context — not chaos. Join @Datastrato × @VeloDB_IO to learn how lakehouse + catalog integration can break silos, unify governance, and power intelligent data systems. Speakers: 🧠 Jerry Shao (Co-founder &

Fragmented data? Too many catalogs, formats, and silos? At #CoCAsia2025, Justin Mclean introduced Apache Gravitino — the open-source metadata lakehouse that unifies governance, security & interoperability. Built on the Iceberg REST spec, it connects engines like Spark & Flink

🗂️We’re excited to share a new editorial article written by our CTO, Jerry Shao, also a PMC of Apache Gravitino. 📖 Catalogs as Context: How Metadata is Powering the Next Wave of AI As AI systems become more powerful, the real challenge isn’t managing more data—it’s understanding

🚀 Apache Gravitino™ 1.0.0 is here!!! Metadata Goes Agentic. From Metadata Management to Contextual Engineering: ⚡ Stats · Policy · Job systems 🤖 MCP server (agent-ready) 🔒 RBAC governance 🔗 https://t.co/DyOcGHB4tT #OpenSource #AI #Metadata #Datastrato #ApacheGravitino

Engine-centric ≠ future-proof. Build around engines → data trapped in silos. We’re flipping the model: 🔹 Unified metadata layer 🔹 “Catalog of catalogs” 🔹 Unlock data everywhere 👉 Understand your full landscape before picking tools. https://t.co/DyOcGHBCjr #Metadata