# BriData/DBus

DBus

Repository: https://github.com/BriData/DBus
Canonical: https://ross.abutalabs.com/products/dbus
Homepage: https://bridata.github.io/DBus/
Language: Java
License: Apache-2.0
License Family: permissive
Last push: 2022-12-06T21:36:10+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3282, "days_push": 1366, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1214, forks 530 (observed 2026-08-28T04:04:00.962827+00:00)

## What it is
DBus is a Java-based data bus platform that captures incremental changes from databases (via log-based CDC) and log sources in a non-intrusive way, transforms them into a unified JSON message format (UMS), and publishes them to Kafka for downstream consumption. It includes multi-tenant routing with per-tenant permissions and real-time data masking, plus heartbeat monitoring and schema-change detection.

## Use cases
- stream mysql binlog changes to kafka in real time
- build a real-time data warehouse feed from operational databases
- sync data between heterogeneous systems with second-level latency
- mask sensitive columns before distributing data to tenants
- detect and notify downstream consumers of source schema changes
- capture and structure application logs via logstash/flume/filebeat
- perform initial full load of tables into a message stream

## When to choose
- you need non-intrusive, log-based CDC from MySQL into Kafka
- you need multi-tenant data isolation with per-tenant masking and access control
- you want a unified JSON message protocol (UMS) for change events including insert/update/delete
- you run a Storm/Kafka big-data stack and want real-time streaming pipelines

## When to avoid
- you only need simple batch ETL without real-time requirements
- your stack does not include Kafka, ZooKeeper, and Storm
- you need a lightweight single-binary CDC tool rather than a full platform with web management
- you primarily use databases other than MySQL (open-source version focuses on MySQL)
- you want an actively evolving project - releases have been infrequent since 2022

## Facets
- artifact type: application
- maturity: maintenance
- function: streaming, etl, message-queue, monitoring, security, configuration-management
- domain: big-data, databases, analytics
- platform: jvm, self-hosted
- tags: cdc, data-bus, kafka, storm, canal, change-data-capture, multi-tenant, data-masking, ums, log-based-replication, data-engineering, real-time, linux, docker

## Member repositories
- BriData/DBus (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:00.962827+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 2026-08-30T06:17:19.986070+00:00, confidence not recorded.
  - readme: https://github.com/BriData/DBus (fetched 2026-08-28T04:04:00.962827+00:00, sha 672fd9c42534)
  - homepage: https://bridata.github.io/DBus/ (fetched 2026-08-29T12:25:17.264654+00:00, sha 2ef2b3fe0758)
- Data as of 2026-08-30T08:39:29.467469+00:00.