Prefectvs
Dagster


Dagster: Asset-centric orchestration with better data lineage tracking

Python-first workflow orchestration that heals itself
As of 29 August 2026, Prefect has a free plan and paid plans start at $100/month. Prefect converts Python functions into durable, production-ready workflows with automatic resilience, retries, and state management. Softwr lists it under Automation Integration. Prefect is available on Web, Self-hosted.
Overview
Prefect is a workflow orchestration platform built on an open-source Python framework that transforms regular Python functions into durable, production-ready workflows. Teams add simple decorators to convert functions into flows and tasks, without learning new frameworks or Domain Specific Languages. The platform handles scheduling, retries, state management, crash recovery, and monitoring of data pipelines and ML workflows at scale. Prefect Cloud provides managed orchestration with observability dashboards showing all workflow runs, task timelines, and performance metrics, while organizations can deploy within their VPC or use hybrid configurations for full control. The platform emphasizes durable orchestration where workflows heal themselves through built-in retries and state tracking, execute reliably across distributed infrastructure, and support multiple scheduling options including cron jobs, event-driven triggers, and backfills. Notable users include Cash App, WHOOP, Barstool Sports, and NASA.
The honest half
Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Prefect.
Cross-shopped
Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.


Dagster: Asset-centric orchestration with better data lineage tracking


Apache Airflow: Mature open-source task scheduler with larger community


Mage AI: Visual pipeline builder with built-in data integration
Pricing
Taken from the vendor's own pricing page. Prices move, so check before you buy.
Hobby
Free
Starter
$100 /mo
Team
$100 /user/month
Enterprise
On request
Capabilities
Python function decorators
Simple @flow and @task decorators for workflow definition
Automatic resilience
Built-in retries, state tracking, and self-recovering executions
Flexible deployment
Managed cloud, VPC, hybrid, or fully self-hosted options
Observable execution
Unified dashboard with run history, task timelines, and metrics
Multiple scheduling
Cron jobs, event-driven triggers, and manual backfills
Webhooks
Event-driven workflow triggering via HTTP callbacks
Open-source core
Apache 2.0 licensed framework with 13.8M+ monthly downloads
Answered, with sources
Each answer names the page it came from, so you can check it rather than take our word for it.
Hobby includes 2 users, 5 deployments, 500 minutes of serverless compute monthly, and 7-day run retention.
SourceStarter is $100/month for 3 users and 20 deployments. Team is $100 per user per month for 4-8 users and 100 deployments.
SourceYes, Starter and higher plans support bring-your-own-compute infrastructure and VPC deployments.
SourceKeep looking
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Softwr does not host reviews and shows no star rating for Prefect, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.
What people switch to, and what they give up
Every tier, and where the cost actually lands
Put it head to head with anything we hold
Its rating, and an embed for your own site
Industrial DataOps middleware that models and contextualises OT data before it reaches IT systems
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Per credit by task hourEmbedded integration platform that SaaS vendors ship inside their own product
Per month by API call volumeApache 2.0 BPMN engine under Hyland, from which Flowable and Camunda were forked
Open source, no licence feeTransactional message queuing for systems where a lost message is a lost payment
Per virtual processor core per monthPostgres-backed distributed task queue and workflow engine for Python, TypeScript and Go
Per month by task run count