# apache/ranger

Apache Ranger - To enable, monitor and manage comprehensive data security across the Hadoop platform and beyond

Repository: https://github.com/apache/ranger
Canonical: https://ross.abutalabs.com/products/apache-ranger
Homepage: https://ranger.apache.org
Language: Java
License: Apache-2.0
License Family: permissive
Topics: ranger, apache, authz, docker, java, python
Last push: 2026-09-02T22:40:25+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 35, longevity 100
- inputs: {"age_days": 4420, "days_push": 0, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1074, forks 1087 (observed 2026-09-03T02:15:09.218595+00:00)

## What it is
Apache Ranger is a framework to enable, monitor, and manage comprehensive data security across the Hadoop platform and beyond. It provides centralized security administration, fine-grained authorization (RBAC/ABAC), and detailed access auditing for components like Hive, HBase, Kafka, and Solr via a web admin console, REST APIs, and per-service plugins.

## Use cases
- manage fine-grained access policies for Hive and HBase from a central console
- audit user access across Hadoop components
- implement role-based or attribute-based access control on a data lake
- authorize Kafka and Solr access with centralized policies
- manage encryption keys with Ranger KMS
- administer security policies programmatically via REST API

## When to choose
- you run Hadoop-ecosystem services (Hive, HBase, HDFS, Kafka, Solr, YARN) and need centralized, auditable authorization
- you need fine-grained, policy-based access control and data masking across multiple data services
- you want a self-hosted security admin console with REST APIs and a KMS

## When to avoid
- you only need simple authentication without fine-grained authorization policies
- your stack has no Hadoop-ecosystem or Ranger-plugin-compatible services
- you want a lightweight cloud-native IAM solution rather than a self-hosted Java platform

## Facets
- artifact type: framework
- maturity: stable
- function: authorization, auth, security, monitoring, alerting, api-framework, cryptography
- domain: security, big-data, databases, self-hosted
- platform: jvm, self-hosted
- tags: hadoop, data-governance, rbac, abac, audit, kms, fine-grained-access-control, policy-management, data-lake, devops, docker, web-server

## Member repositories
- apache/ranger (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:09.218595+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:53:35.553856+00:00, confidence not recorded.
  - readme: https://github.com/apache/ranger (fetched 2026-09-03T02:15:09.218595+00:00, sha a97ec1886e00)
  - homepage: https://ranger.apache.org (fetched 2026-08-29T12:55:21.123101+00:00, sha 1ee53ba9806c)
  - site_page: https://ranger.apache.org/apidocs/index.html (fetched 2026-08-29T12:55:21.134881+00:00, sha 5b1fc3a730cc)
  - site_page: https://ranger.apache.org/kms/apidocs/index.html (fetched 2026-08-29T12:55:21.137092+00:00, sha 0f4dce8ef063)
  - site_page: https://ranger.apache.org/faq.html (fetched 2026-08-29T12:55:21.132548+00:00, sha b17bb79e17ee)
- Data as of 2026-08-30T08:39:29.467469+00:00.