Build reliable data pipelines that your business can trust

Transform brittle ETL jobs into resilient data pipelines. Integrate seamlessly with dbt while ensuring data quality and timely insights delivery.

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Washington Nationalscase-study

With Prefect we can define our workflows precisely, using code that's under version control. Features like tasks, task dependencies & retries, and mapping make it easy to write robust data imports and data pipelines.

Lee Mendelowitz

Lead Data Engineer

Seamless dbt Integration

Orchestrate dbt workflows with ease using Prefect's native integrations

flow.py

1from prefect import flow, task
2from prefect_dbt.cloud import DbtCloudCredentials, DbtCloudJob
3
4@task
5def load_data():
6    # Your existing data loading code
7    pass
8
9@flow
10def analytics_pipeline():
11    # Load raw data
12    raw_data = load_data()
13
14    # Transform with dbt
15    dbt_job = DbtCloudJob(
16        dbt_cloud_credentials=DbtCloudCredentials.load("dbt-creds"),
17        job_id="daily-transformations"
18    )
19    dbt_job.run()

flow.py

1from prefect import flow
2from prefect_dbt.cli.commands import trigger_dbt_cli_command, dbt_build_task
3
4@flow
5def dbt_build_flow():
6    trigger_dbt_cli_command(
7        command="dbt deps", project_dir="/Users/test/my_dbt_project_dir",
8    )
9    dbt_build_task(
10        project_dir = "/Users/test/my_dbt_project_dir",
11        create_summary_artifact = True,
12        summary_artifact_key = "dbt-build-task-summary",
13        extra_command_args=["--select", "foo_model"]
14    )

Built for Data Engineering Teams

Everything you need to build, deploy, and monitor production-grade data pipelines

Accelerate Time to Production

Deploy and refresh analytics pipelines quickly with self-service capabilities that minimize maintenance overhead.

Maintain Data Quality

Automate data quality checks and dependency management across data pipelines with custom alerts and comprehensive failure notifications for end-to-end observability.

Build Trust in Your Data

Monitor analytics pipelines comprehensively with automated recovery, clear audit trails, and SLA tracking.

Native Integrations

Connect to the whole analytics stack seamlessly across dbt, data warehouses, and BI tools to streamline ETL workflows.

Loved by Data Engineers

See what data teams are saying about Prefect

G2 Review

Prefect is like an air traffic controller for your data. It supports Amazon, Databricks, and Adobe... prebuilt flows and infrastructure blocks like Git, Docker, and ECS save time.

Nirav Rajesh L.

G2 Review

The UI gives us real-time visibility into data processing, ensuring that every task is executed correctly... significantly improved our data pipeline reliability and debugging process.

Alla P.

G2 Review

Prefect has given us visibility into our automated processes... can now see the health of our entire ecosystem in a dashboard.

Jorge S.

G2 Review

Prefect stays as close to python best practices as is possible, which makes it easy to get started... Prefect's hybrid nature allows for easy integrations and secure data handling.

Anonymous

G2 Review

We run all of our data pipelines and analytics model workflows through Prefect... spend less time troubleshooting and more time focusing on business insights.

N. L.

G2 Review

With Prefect, we've handed over the scheduling of Python script execution to non-technical business users, enabling them to manage their analytics workflows autonomously.

Anonymous

G2 Review

Prefect makes scheduling, executing, and monitoring data pipelines incredibly easy and low-maintenance. The hybrid model allows for much flexibility in scaling execution infrastructure.

Harison M.

G2 Review

At first, we just got Prefect because we were running simple jobs on Linux machines with cron... recently figured out that the orchestration capabilities would be great for managing database actions.

Anonymous

G2 Review

Before Prefect, we had long-running analytics tasks that would sometimes stop running for hours... Prefect eliminated this problem and allowed us to automate new use cases with ease.

Michael U.

Build reliable data pipelines your business can trust

Join 25,000+ engineers orchestrating data workflows with seamless dbt integration and comprehensive observability

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