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Microservices Engine:Comparison between MSE XXL-JOB and open source XXL-JOB

Last Updated:Jan 22, 2026

This topic compares Microservices Engine (MSE) XXL-JOB and open source XXL-JOB.

Feature set

Feature

Open source XXL-JOB

Alibaba Cloud XXL-JOB

Compatibility

Protocol compatibility

Incompatible between different versions.

Compatible with all versions.

Basic capabilities

Scheduling type

cron or fixed_rate

cron, fixed_rate, fixed_delay, one_time, and api.

Time zone

Not supported.

Support

Custom calendar

Not supported.

Support

Start time settings

Not supported.

Support

Sharding broadcast

Aggregation is not supported.

Aggregation is supported.

O&M

Manual run and stop.

Manual run, stop, rerun in place, data backfill, mark as successful, suspend/resume, and skip/unskip.

Task dependency orchestration

Subtasks. Only serial execution is supported.

Visual workflow orchestration. Supports conditional branches, external dependencies, manual nodes, custom variables, upstream and downstream data transfer, O&M operations, and more.

Graceful shutdown

Not supported. When the client stops, the thread is forcibly interrupted.

Support

Canary release of jobs

Not supported.

Supports tag-based routing and scheduling. After integration with MSE Microservices Governance, it enables dynamic tagging and end-to-end canary release.

Observability

Scheduling event

Not supported.

Supported.

Monitoring dashboard

Only daily data can be viewed.

Minute-level, hourly, and daily data can be viewed.

Operation record

Not supported.

Support

Log

Logs are stored on the client. Each execution generates a small file, which causes performance and stability issues.

You can collect log files with SLS.

Monitoring and alerting

Alert notification method

Email

Email, webhook, text message, and phone call.

Alert contact

Not supported.

Integrates with CloudMonitor contacts.

Alert history

Not supported.

Supported.

Stability

Task concurrency control

Client-side control. Multiple executors cannot ensure idempotent execution.

Server-side control. Ensures global idempotent execution.

Application throttling

Not supported.

Support

Possibility of database performance degradation

Each scheduling operation retains execution history in the database. By default, data from the last 30 days is kept. The rapid growth of the `xxl_job_log` table severely degrades database performance and affects job scheduling.

Uses a compute-storage separated architecture and hot/cold data tiering. Recent job execution records are kept in the database, while long-term history is archived to Simple Log Service. This effectively resolves the storage bottleneck of historical records in open source XXL-JOB.

Possibility of missed job triggers

Each scheduling operation must retrieve the execution plan from the database. If the retrieval times out, the job trigger is missed.

Uses a distributed architecture where each server node independently schedules its assigned tasks in memory. This significantly reduces the database load and greatly decreases the probability of missed job triggers.

Security

Console logon

Username and password logon.

Alibaba Cloud accounts, Resource Access Management (RAM) users, RAM roles, and single sign-on (SSO).

Fine-grained access control

Not supported.

Uses RAM access policies. Supports instance-level and application-level permission isolation, and permission management at various operation levels.

SDK access authentication

The entire cluster shares a single access token.

Different AppNames use different access tokens.