Datastrato (@datastrato) header
Datastrato (@datastrato) profile picture

Original creator of Apache Gravitino™. Unified metadata platform for AI - multi-cloud, multi-engine and multi-modal.

Bay Area
Joined March 2022
Photo by Datastrato (@datastrato)Photo by Datastrato (@datastrato)Photo by Datastrato (@datastrato)Photo by Datastrato (@datastrato)Photo by Datastrato (@datastrato)Photo by Datastrato (@datastrato)Photo by Datastrato (@datastrato)Photo by Datastrato (@datastrato)Photo by Datastrato (@datastrato)
Running Iceberg without proper access control? Starting from v1.1.0, Apache Gravitino supports RBAC for Iceberg REST Catalog. We just published a deployment guide covering: 🔐 Table-level authorization 🏗 Architecture setup ⚙ Spark integration 📦 Production configuration Check out the full guide on DEV 👇 dev.to/gravitino/apache-grav… #datacatalog #ApacheGravitino #ApacheIceberg #Lakehouse #DataGovernance #OpenSource #DataPlatform
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💡Building or exploring Apache Iceberg in SF? Join us for a community meetup focused on open table formats, real-time data, and AI-driven workloads. 👉 Register here: luma.com/g76usnrz If you’re working on: • data platforms or lakehouse architectures • Apache Iceberg or open table formats • real-time or AI-driven workloads this meetup is for you! @datastrato is co-hosting this event with @_olake, @RisingWaveLabs, @ Ryft, @dremio, and @VeloDB_IO — bringing together data engineers and platform builders for technical talks and in-person networking. 📍 Dream Event SF (North Beach), 1524 Powell St. 🗓 Feb 11 | ⏰ 6–9pm #DataEngineering #ApacheIceberg #Lakehouse #RealTimeData #AIWorkloads #SFTech
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🚀 Apache Gravitino 101: Lance REST Is Live! 🔗 dev.to/gravitino/configuring… Learn how to expose Lance datasets via a standard REST API using Apache Gravitino, and connect engines like @ApacheSpark and Ray with one unified catalog. #ApacheGravitino #OpenSource #Lance #DataEngineering #RESTCatalog
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youtube.com/watch?v=PiF58L03… Our CEO JP Du was featured on @thenewstack 🎙️ On why Apache Gravitino matters for metadata in the Agentic AI era — from breaking metadata silos to what’s next in 2026. If you find it useful, give it a like 👍 #ApacheGravitino #Metadata #OpenSource #AgenticAI
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🚀 Introducing the "Apache Gravitino 101" Series! We’re excited to launch a brand-new series on dev.to/gravitino, designed to take you from 0 to 1 with Apache Gravitino. Whether you're a data veteran or just starting out, this series is your go-to guide for mastering unified metadata management. This is just the beginning! We’ll be rolling out more chapters regularly. More chapters are coming soon! 🔗 Read the series here: lnkd.in/gfS6H528 Got feedback or stuck on setup? Let us know! Your input helps us refine the series. #ApacheGravitino #OpenSource #DataEngineering #Community #Metadata
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🚀 Apache Gravitino × @daftengine v0.7.2 integration is here! With the new gvfs://, @daftengine can access multi-cloud datasets via Gravitino’s unified catalog—no more managing S3/GCS credentials in Python. Simplifying data lakes & AI pipelines 👇 dev.to/gravitino/unified-dat… #ApacheGravitino #Daft #DataEngineering #MultiCloud #AIInfra
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🎊 Agentic AI is moving beyond demos—and infra challenges are real. Join our Data for AI meetup for deep, practical insights from builders across the stack: • Data context & platforms • Distributed compute • Trust, durability & economics 🎙 Speakers from @datastrato , @anyscalecompute ,@AIsaOneHQ, @TrustGraphAI & @temporalio 📍 Mountain View | 🗓 Jan 28, 5:30–9pm 🔗 luma.com/peqj9yen #TechMeetup #AICommunity #BayAreaTech #MountainView #DeveloperMeetup #TechTalks
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🚀 Apache Gravitino 1.1.0 delivers a unified metadata foundation for the AI-native lakehouse. 🔗lnkd.in/gtjR_G8A ✨ 3 Killer Features 🤖 AI-native metadata with vector support 🛡️ Enterprise-grade security and governance 🔄 Seamless Hive-to-lakehouse modernization 🌐 Apache Gravitino 1.1.0 makes lakehouse architectures secure, interoperable, and AI-ready. #ApacheGravitino #Datastrato #AINativeLakehouse #MetadataManagement #DataGovernance #VectorData #Lakehouse #Iceberg #Hive #OpenSource #AIData
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🚧 5 metadata problems. One unified answer. 🔗github.com/apache/gravitino/… 🧱 Data silos 📂 Fragmented catalogs 🔐 Inconsistent governance 🔀 Multi-engine complexity 🌍 Real-world deployments ✨ Apache Gravitino 1.1.0 brings a unified metadata layer for tables, files, streams & vectors — built for AI-native lakehouse architectures. #ApacheGravitino #Metadata #AINative #Lakehouse 🚀
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Happy Holidays 🎄 Grateful for every contributor, user, and supporter in our community. Thank you for being part of the Apache Gravitino journey 💙 github.com/apache/gravitino #Apache #OpenSource #HappyHolidays
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🚀 Apache Gravitino 1.1.0 is out! Vector-ready metadata with Lance + stronger governance for production AI and lakehouse platforms. Unified metadata across engines, formats, and workloads. 🔗 github.com/apache/gravitino/… #ApacheGravitino #OpenSource #AIInfra #Metadata
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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.🧡
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"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 ↓ medium.com/datastrato/if-you…
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🚀 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 update: bit.ly/3LQY25N ⭐️ GitHub: github.com/apache/gravitino #Metadata #OpenSource #DataEngineering #AIInfra #Gravitino
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🚀 New demo: See how Apache Gravitino unifies relational metadata from Hive, MySQL & PostgreSQL into one consistent catalog. 🔗 Watch the demo: youtu.be/5D4G73FJhnE Create a metalake, add a catalog, and explore everything in the Gravitino web UI—no manual syncing needed. One unified metadata layer for easier discovery, stronger governance, and a true single source of truth. #ApacheGravitino #MetadataManagement #DataInfrastructure #Metalake #DataGovernance
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🚀 Exploring the Java API for Apache Gravitino! ➡️youtu.be/hJW1pOnhl88 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 connect to a running service, load metalakes, and list catalogs—right from Java. Strong IDE support + type safety = smoother dev experience. #ApacheGravitino #Java #DataInfrastructure #Metalake #MetadataManagement
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Apache Gravitino’s REST API = metadata control at your fingertips. List. Create. Register. Browse. All from your terminal — instantly reflected in the Web UI. ⚙️ youtube.com/watch?v=rgxWQXWF… #ApacheGravitino #DataPlatform #RESTAPI
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👻Ghost schemas, 🧟‍♂️zombie tables, spooky silos — Apache Gravitino unites them all. github.com/apache/gravitino #Metadata #DataCatalog #ZombieTables #GhostSchemas #HalloweenEdition
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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: youtube.com/watch?v=EjLtHSmb… #Datastrato #ApacheGravitino #Metadata #DataPlatforms #OpenSource #DataEngineering #Lakehouse
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