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gravitino mit Homebrew installieren

Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für gravitino in AI-Agent-Workflows.

Installation

Weitere Installationsbefehle

macOS

Homebrewverifiziert · 100%
brew install gravitino

local Homebrew formula metadata

Überblick

Paketzusammenfassung

High-performance, geo-distributed, and federated metadata lake

Befehle und Aliase

  • gravitino-iceberg-rest-server.sh
  • gravitino.sh

Verlauf

Projektgeschichte und Nutzung

Apache Gravitino is a metadata lake project for managing metadata across data warehouses, data lakes, lakehouses, streaming systems, and AI assets. Its package-manager identity is unusual for Homebrew: the formula installs server-style scripts and configuration rather than a small single-purpose CLI.

Projektgeschichte

Gravitino was created to address metadata fragmentation across heterogeneous data and AI systems. The Apache project blog describes it as a unified metadata layer, or metalake, spanning systems such as Apache Iceberg, Apache Hive, Apache Kafka, MySQL, PostgreSQL, HDFS, S3, and model metadata.

The project entered the Apache Incubator in June 2024 and published its first ASF release, 0.6.0-incubating, on September 9, 2024. That release emphasized enterprise catalog concerns such as RBAC, Iceberg REST catalog modularization, tagging, and connector work.

Apache announced Gravitino as a Top-Level Project on June 3, 2025, citing a growing community and production adoption. The 1.0.0 release on September 24, 2025 framed the project as moving from metadata management toward metadata-driven action systems, including statistics, policies, jobs, MCP integration, lineage, and governance.

Adoptionsgeschichte

The official graduation announcement names production or deployment interest from companies including Pinterest and Uber, and describes adoption by organizations with serious data challenges. That adoption path is tied to open table formats, multi-cloud metadata, and the need to govern assets across engines.

Gravitino's Homebrew packaging makes it easy for data platform engineers to start a local server, test the Iceberg REST server scripts, or evaluate metadata APIs without first building the Java project from source.

Wie es verwendet wird

The package exposes gravitino.sh and gravitino-iceberg-rest-server.sh, reflecting two common local workflows: run the Gravitino server or run the Iceberg REST catalog service. Official installation documentation points users at conf/gravitino.conf for server settings and conf/gravitino-env.sh for environment settings.

Operationally, Gravitino is not just a command. It is a service surface with catalogs, schemas, tables, filesets, topics, models, connectors, authorization, and REST APIs that data platform teams integrate with query engines and governance systems.

Warum Paket-Nerds sich dafür interessieren

For package nerds, Gravitino is a reminder that Homebrew can carry data platform services, not just desktop tools and Unix utilities. The formula's value is in reproducible local evaluation of a JVM server and related scripts.

Its Apache lifecycle also matters: incubating release names, Top-Level Project graduation, Java runtime requirements, and generated distribution layouts all affect how downstream package managers name, test, and upgrade the package.

Zeitleiste

  • 2024-06: Gravitino enters the Apache Incubator.
  • 2024-07: The Apache blog introduces Gravitino as an open-source data and AI multi-cloud solution.
  • 2024-09: Apache Gravitino 0.6.0-incubating is announced as the first ASF release.
  • 2025-05: Apache Gravitino 0.9.0 focuses on AI, data governance, and security features.
  • 2025-06: Apache announces Gravitino as a Top-Level Project.
  • 2025-09: Apache Gravitino 1.0.0 is announced with metadata-driven action systems and MCP server work.

Related projects

  • Apache Iceberg: Gravitino provides and packages Iceberg REST catalog server functionality.
  • Apache Hive, Kafka, Spark, Flink, Hudi, Paimon, Ranger, MySQL, and PostgreSQL appear in official Gravitino materials as systems it integrates with or governs.
  • Datastrato is part of the project's origin story and ecosystem around the metadata lake idea.

Sicherheitslage

Risikostufe: orange

formula declares a Homebrew service.

Risikoklassifikator

orange Risiko · mittel Konfidenz · infrastructure

Warum

  • formula declares a Homebrew service

Signale

  • metadata:service

Installationsverhalten

  • Es wurden keine Homebrew-Bottle-Metadaten erfasst.

Empfohlene Prüfung

Prüfe vor unbeaufsichtigter Agent-Nutzung, ob das Tool Klartext-Credentials liest, Remote-Zustand schreibt, Artefakte veröffentlicht oder Plugins ausführt.

local files

Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.

Configuration files

Config paths the tool may read or write during local use.

Unix
conf/gravitino.confconf/gravitino-env.sh

Executables

Installierte Executables

BefehlArtSichtbarkeitHinweis
gravitino-iceberg-rest-server.shExecutableindexiertes ExecutableAus dem lokalen Executable-Index erkannt.
gravitino.shExecutableindexiertes ExecutableAus dem lokalen Executable-Index erkannt.

Aktualität

Version und Aktualität

Diese Signale trennen das Alter der Seitengenerierung, Aktivität des Paketmanagers und Upstream-Release-Vergleich. Versionsrückstand wird nur gemeldet, wenn eine Evidenz-URL und vergleichbare Versionen vorhanden sind.

Seite generiert2026-08-03
Manager-Version1.3.0
Manager aktualisiert2026-06-28
lokale Datenunbekannt
Upstreamnicht verfügbar
neueste erkannte Versionnicht erkannt
  • OKEs wurden keine Aktualitätswarnungen generiert.

Installationsmetadaten

Paketmetadaten

Paketschlüsselbrew:gravitino
Version1.3.0
PaketmanagerHomebrew
Homepagehttps://gravitino.apache.org
Repositoryhttps://github.com/apache/gravitino
Zuletzt aktualisiert2026-06-28T12:53:46Z
Pulseupdated
Bottlenicht erfasst
Dienstkeiner deklariert

Quellspur

Aus Repository-Daten generiert

Diese Seite wird von av-web aus dem privaten Paket-SQLite-Artefakt bereitgestellt, das scripts/generate-pkg-sqlite.py erstellt.

Verwendete Quellen

  • Geiger risk classifier
  • cross-ecosystem install command graph
  • curated configuration and credential file locations
  • curated package history
  • pkg.so package database
  • pkgdb category and tag curation