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ML Operations

Prefect

Workflow orchestration for data, ML and agents; now includes Dagster

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About Prefect

Prefect provides a Python-native workflow orchestration platform with durable execution, scheduling and monitoring, plus FastMCP for MCP servers. Prefect says it acquired Dagster Labs in July 2026, and Dagster keeps its name and open source license.

Common use cases

  • ML pipeline orchestration
  • Data pipelines
  • Agent workflows

Social listening

What people are saying about Prefect

The few public accounts found describe Prefect as Python-native and quick to adopt, and teams typically plan for glue code compared with Airflow's integration ecosystem.

What stands out

  • Reviewers say it handles large, complex workflows and makes defining and monitoring them easier.
  • A practitioner blog describes writing flows as feeling like normal Python, with retries and caching built in.
  • Hybrid deployment, keeping code and data in the customer's cloud while using the hosted control plane, fit one team's security needs.
  • New engineers can onboard quickly without touching Kubernetes.

Things to consider

  • Plan for some glue code, as there are fewer ready-made integrations than Airflow's provider ecosystem.
  • Best suited to teams not standardized on prebuilt operators.

Often compared with: Airflow, Dagster

Sources (2)

Themes summarized from public reviews, community discussion and press coverage as of November 2026. They reflect public discussion, not a rating or an endorsement by AI Connect.

Products and services

Prefect

Open-source Python workflow orchestration with a managed cloud option.

Prefect Horizon

Managed hosting, registry, gateway and agents for MCP servers.

FastMCP

Python framework for building MCP servers.

Pricing and editions. A comparison blog notes a free tier exists; paid pricing not verified.

Recent product updates

  • January 2026: announced Prefect Horizon, a platform for deploying, registering, governing and chatting with MCP servers, built on FastMCP; FastMCP Cloud becomes Horizon Deploy.
  • FastMCP 3.0 was released in 2026 (exact date not verified).

Key features

  • Workflow orchestration
  • Durable execution
  • Python decorators
  • Scheduling and retries
  • MCP tooling

Integrations

  • AWS
  • Google Cloud
  • Microsoft Azure
  • Kubernetes
  • dbt
  • Snowflake

Prefect alternatives

FAQs

Open source?

Apache 2.0 framework.

Dagster?

Prefect says it acquired Dagster Labs in July 2026.

Where does it run?

Managed compute or your VPC.

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