# DTStack/Taier

Taier is a big data development platform for submission, scheduling, operation and maintenance, and indicator information display

Repository: https://github.com/DTStack/Taier
Canonical: https://ross.abutalabs.com/products/taier
Homepage: https://dtstack.github.io/Taier/
Language: Java
License: Apache-2.0
License Family: permissive
Topics: distributed-schedule-system, dag, scheduler, job-scheduler, workflow-scheduling-system, task-schedule, cronjob-scheduler, data-schedule, flink, spark, hive, hadoop, azkaban, chunjun
Last push: 2026-07-31T08:47:21+00:00

## Health v2 (maintenance only)
Score: 84/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 62, longevity 100
- inputs: {"age_days": 2010, "days_push": 33, "days_rel": 41, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1284, forks 349 (observed 2026-08-28T04:04:14.587987+00:00)

## What it is
Taier is a self-hosted distributed dispatching platform for big data that handles task submission, DAG-based scheduling, and operations/maintenance with indicator dashboards. It provides an IDE-style web development environment for batch and streaming jobs across Hadoop, Flink, and Spark clusters with multi-tenant, kerberos-aware isolation.

## Use cases
- schedule and orchestrate ETL jobs with upstream/downstream dependencies
- self-hosted alternative to Azkaban or DolphinScheduler for big data workflows
- web IDE for developing FlinkSQL, SparkSQL, and data synchronization tasks
- manage batch and stream data pipelines in one platform with versioned tasks
- monitor scheduled data tasks, view error logs, and run an operations center
- submit Hadoop/Flink/Spark jobs with tenant and cluster isolation

## When to choose
- You need a web-based platform to author, schedule, and monitor ETL workflows with complex DAG dependencies
- You run heterogeneous Hadoop/Flink/Spark clusters and want one UI with multi-tenant isolation and Kerberos support
- You want an IDE-like environment for FlinkSQL/SparkSQL development plus task versioning and custom task plugins

## When to avoid
- You only need simple cron-style scheduling without big data cluster integration
- Your workloads live outside the Hadoop/Flink/Spark ecosystem
- You need a lightweight embeddable library rather than a full self-hosted platform

## Facets
- artifact type: application
- maturity: active
- function: scheduling, workflow-automation, etl, monitoring, developer-tools
- domain: big-data, self-hosted
- platform: jvm, self-hosted
- tags: workflow-scheduler, dag-orchestration, job-scheduler, big-data-platform, hadoop, flink, spark, hive, task-scheduling, azkaban-alternative, etl-orchestration, multi-tenant, data-engineering, automation, docker, web-server, linux

## Member repositories
- DTStack/Taier (main) score 84

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:14.587987+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 2026-08-30T04:56:42.207346+00:00, confidence not recorded.
  - readme: https://github.com/DTStack/Taier (fetched 2026-08-28T04:04:14.587987+00:00, sha 06d55cf19725)
  - homepage: https://dtstack.github.io/Taier/ (fetched 2026-08-29T12:12:22.095646+00:00, sha 990e67eb39ef)
- Data as of 2026-08-30T08:39:29.467469+00:00.