Press release
Apache Gravitino 1.1.0: A Major Step Toward Unified Metadata for the AI-Native Lakehouse
![[The Unified Metadata Layer for the AI-Native Data Stack]](https://cdn.open-pr.com/L/c/Lc30158129_g.jpg)
[The Unified Metadata Layer for the AI-Native Data Stack]
As enterprises adopt multimodal data, multiple engines, and mixed table formats, metadata fragmentation becomes a critical barrier. Gravitino 1.1.0 directly tackles this challenge with key upgrades across catalogs, security, cluster management, and developer experience.
https://github.com/apache/gravitino/releases/tag/v1.1.0
What's new in 1.1.0
1. Built for the Future of AI Data
A new Lance REST service brings governed, high-performance vector access to AI pipelines, inference workloads, and data applications.
2. Stronger Security and Metadata Governance
Fine-grained authorization now covers tags, jobs, statistics, and policies, while the Iceberg REST service receives major security hardening for production use.
3. Legacy-to-Lakehouse Modernization, Simplified
Hive 3 catalog support allows organizations to bring existing Hive metastores under centralized governance without data migration or risk.
4. Multi-Cluster Operations for Real-World Deployments
Support for multiple HDFS clusters gives large-scale teams the flexibility needed for DR, isolation, and multi-region architectures.
5. Faster, More Stable, More Observable
From caching to metrics to connector improvements, the entire system sees meaningful boosts in performance, reliability, and usability.
Why it matters
Organizations building AI-native architectures need a metadata system that spans:
multiple engines (Spark, Trino, Flink, Daft etc.)
multiple formats (Iceberg, Hudi, Lance)
multiple clouds and clusters
batch, streaming, and vector workloads
As AI workloads diversify, metadata must unify. Gravitino 1.1.0 brings the interoperability and governance needed to make that possible.
Community Acknowledgement
This release reflects the work of dozens of contributors across issues, PRs, tests, design contributions, and reviews. The Gravitino community continues to grow, and we are grateful for everyone who made this release possible.
Read the full release notes for details on all features and fixes.
https://github.com/apache/gravitino/releases/tag/v1.1.0
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Our team is building the bleeding-edge next generation data and AI fabric for generative AI and multi-cloud. With deep-diving in innovative technology to fit enterprise needs, we are obsessed with the open source community and strive to create a product that developers want.
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