Prefect

Airbyte

ELT data integration platform with 700+ pre-built connectors for moving data from APIs, databases, and files into warehouses and data lakes. Free to self-host, or fully managed in the cloud.

Freemium

Data Engineering & ETL

3/5

Prefect orchestrates Airbyte ingestion syncs as tasks within a flow, handling retries and downstream dependencies when the sync completes.

MLflow

Open-source platform for the machine learning and generative AI lifecycle: experiment tracking, a model registry, model packaging, and tracing and evaluation for LLM applications.

Open Source

Data & ML Libraries

4/5

Prefect and MLflow are commonly paired: Prefect flows orchestrate ML training pipelines while MLflow tracks the experiments, metrics, and model artifacts produced by each Prefect run.

Snowflake

Snowflake is a cloud data platform that separates storage, compute, and services. Virtual warehouses start and pause in seconds, and many can query the same data at once, making it a leading warehouse for multi-workload analytics.

Usage Based

Databases

3/5

Prefect's official prefect-snowflake collection provides tasks and blocks for running Snowflake queries and credential management within Prefect flows.

BigQuery

BigQuery is Google Cloud's fully managed, serverless data warehouse built for large-scale analytics. It uses a columnar storage format and separates compute from storage, charging per TB of data queried with no infrastructure to manage.

Usage Based

Databases

3/5

Prefect's official prefect-gcp collection provides BigQuery tasks for running queries and loading results within flows.

dbt

Transformation tool that enables data teams to transform data in their warehouse using SQL and software engineering best practices like version control, testing, and modularity.

Freemium

Data Engineering & ETL

4/5

Prefect's official prefect-dbt integration runs dbt Core commands inside flows and reports each dbt node as a Prefect task, with retries, logging, and scheduling from Prefect.

Databricks

Data intelligence platform built on Apache Spark, Delta Lake, and MLflow that combines data engineering, SQL warehousing, machine learning, and AI agents on one lakehouse across AWS, Azure, and GCP.

Usage Based

Data Engineering & ETL

3/5

Prefect's official prefect-databricks integration submits and monitors Databricks job runs from a flow, so Databricks work shares retries and dependencies with the rest of the pipeline.

Python

Python is a high-level, interpreted, dynamically typed programming language emphasising readability and simplicity. It dominates data science, machine learning, and general-purpose scripting.

Open Source

Programming Languages

5/5

Prefect is a Python workflow orchestration framework; flows and tasks are ordinary Python functions marked with decorators.

Apache Airflow

Apache Airflow is an open-source workflow orchestration platform that lets you define, schedule, and monitor data pipelines as Python code using Directed Acyclic Graphs (DAGs). It is the de facto standard for orchestrating data engineering workflows at scale.

Open Source

Data Engineering & ETL

5/5

Both orchestrate Python-based data pipelines with retry logic and scheduling; Prefect replaces Airflow's DAG files with decorated functions and eliminates the scheduler-worker complexity.

Dagster

Open-source data orchestration platform that provides a unified interface for building, testing, and monitoring data assets with a software-defined approach.

Freemium

Data Engineering & ETL

4/5

Both take a Python-native approach to orchestration; Dagster is more asset-centric with software-defined assets and lineage; Prefect is more flow-centric with simpler onboarding.