Quick comparison # App Pricing Verified price Open source Platforms Verified facts Score 1 InngestOpen source $99/month (Pro) No Web, Self-hosted 4 of 4 68.8 2 Trigger.devOpen source $10/month (Hobby) No Web, Self-hosted 5 of 5 64.8 3 Apache AirflowOpen source — Yes Linux, Self-hosted, Web 5 of 5 61.8 4 DagsterOpen source $10/month plus credits Yes Web, Linux, macOS +2 5 of 5 59.4 5 PrefectOpen source $100/month Yes Web, Linux, macOS +2 5 of 5 57.5
1 Best for: Web and serverless teams that want reliable multi-step background functions without managing queues
Open source Web, Self-hosted
Why switch from Temporal
Lighter to adopt: event-driven step functions run on your existing serverless or server endpoints.
Pros Runs functions on your existing serverless or server deployment Built-in concurrency, throttling and rate-limit controls per function Free tier with a sizeable monthly execution allowance Can be self-hostedCons Paid plans jump to a three-figure monthly base price Execution-based pricing can climb quickly for step-heavy workflows Fewer SDK languages than TemporalHow this score is calculated Editorial fit ×0.3 100
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
2 Best for: TypeScript and Next.js teams that want durable background jobs without running their own queue
Open source Web, Self-hosted
Why switch from Temporal
Managed workers and simpler setup for TypeScript teams who don't want to run worker fleets.
Pros Tasks live in your repo as normal async TypeScript code No run timeouts, and waiting runs are checkpointed so they don't use compute Apache 2.0 licensed and self-hostable Realtime progress updates to the frontend are built inCons TypeScript-first; Python only runs via an extension inside TypeScript tasks Usage-based compute billing makes costs harder to predict than a flat fee Free plan has 1-day log retentionHow this score is calculated Editorial fit ×0.3 87
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
3 Best for: Data engineering teams that want a proven, free orchestrator with a huge integration ecosystem
Open source Self-hostable Linux, Self-hosted, Web
Why switch from Temporal
Better fit if your workflows are scheduled data pipelines rather than application logic.
Pros Free and open source with a very large community Pipelines are plain Python, so they can be generated dynamically Hundreds of ready-made operators for clouds and data tools Managed versions available from several cloud providersCons Running scheduler, workers and metadata database yourself takes real ops effort Local development and testing are clunkier than in newer tools like Prefect or Dagster No official hosted service from the Apache project itselfHow this score is calculated Editorial fit ×0.3 77
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
4 Best for: Data platform teams who want lineage, data quality and orchestration in one tool
Open source Self-hostable Web, Linux, macOS, Windows, Self-hosted
Why switch from Temporal
Asset-centric orchestration for data teams who care more about lineage than durable app workflows.
Pros Asset-based model makes lineage and freshness visible Strong local development and testing workflow Close dbt integration Hybrid deployment keeps data in your own cloudCons Asset-centric model takes time to learn if you think in tasks Managed plans add usage-based credits on top of the monthly fee No free hosted tier beyond the trialHow this score is calculated Editorial fit ×0.3 69
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
5 Best for: Python teams who want orchestration without rewriting code into a separate DAG framework
Open source Self-hostable Web, Linux, macOS, Windows, Self-hosted
Why switch from Temporal
Python-native flows with a hosted UI, easier for data engineers than Temporal's programming model.
Pros Plain Python with a decorator, little new to learn Free hosted Hobby tier and a self-hostable open source server Runs on your own compute, Kubernetes or serverlessCons Free cloud tier is limited to 2 users and 5 deployments Smaller integration ecosystem than Airflow Paid plans jump quickly from a flat fee to per-user pricingHow this score is calculated Editorial fit ×0.3 63
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula