LAKEFLOW JOBS

Natively managed orchestration for any workload

Unified orchestration for data, analytics and AI on the Data Intelligence Platform.

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 CUSTOMERS USING LAKEFLOW JOBS

Benefits

Orchestrate any data, analytics or AI workflow

Streamline your pipelines with a managed orchestration service fully integrated into your data platform. Easily define, monitor and automate ETL, analytics and ML workflows with reliability and deep observability.

Simple authoring

Design workflows with simple, intuitive tools built for data practitioners at any level. Define tasks with just a few clicks or in your favorite IDE, making job creation simple.

Actionable insights

Gain full visibility into every task with real-time monitoring. Use detailed metrics and analytics to proactively assess production health, quickly identify bottlenecks, troubleshoot issues and ensure seamless operations across your data pipelines.

Proven reliability

Trust a fully managed orchestration service to keep your production workflows running smoothly and reliably. With proven performance and scalability, Lakeflow Jobs is trusted by thousands of organizations to handle their most critical data pipelines.

Features

Streamline and orchestrate your data pipelines

Easily define, manage and monitor jobs across ETL, analytics and AI pipelines.

Unlock seamless orchestration with versatile task types, including notebooks, SQL, Python and more, to power any data workflow.

Seamless Orchestration

Manage task dependencies and add conditional logic, loops, retries and more to tailor jobs to your unique pipeline requirements.

Advanced Control Flow

Run jobs exactly when you need them — with real-time triggers, predefined schedules or on-demand execution.

Scheduling and Triggers

Start fast with fully managed, serverless compute — no setup required — and pay-as-you-go pricing for secure, scalable performance without upkeep.

Serverless Compute

Track job health in real time, diagnose issues with detailed insights and set alerts to stay in control and improve performance.

Streamline and orchestrate

Seamless Orchestration

More features

AI-Powered Error Diagnosis

Diagnose job errors instantly, providing root cause analysis and fixes to keep your jobs running smoothly.

Alerts

Get notified of task failures, delays or anomalies via email, Slack or custom webhooks to quickly resolve issues and maintain job reliability.

Repair and Rerun

Repair tasks with ease — retry failed nodes intelligently without rerunning successful ones, saving time, reducing costs and boosting efficiency.

Modular Orchestration

Simplify complex jobs by breaking them into reusable components, improving maintenance, scalability and flexibility across your data pipelines.

Data Lineage

Track data flow and transformations across jobs, ensuring visibility into dependencies for improved control, debugging and compliance management.

CI/CD With Asset Bundles

Integrate CI/CD with Databricks by using Asset Bundles to manage resources, automate deployments and simplify testing with environment-specific configurations.

Orchestrate SQL Tasks

Run SQL queries on Databricks SQL warehouses, allowing you to create, schedule and monitor jobs with Databricks SQL objects like queries and alerts.

Power Real-Time Pipelines

Process real-time data streams seamlessly, enabling automated workflows that adapt instantly to new events for timely insights and actions.

use cases

Unlock the power of Lakeflow Jobs

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Automate and orchestrate your ML lifecycle — from data preparation to deployment

Streamline machine learning model preparation by automating the end-to-end process of extracting, transforming and preparing data for training and inference.

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Streamline BI reporting with automated, reliable data pipelines

Automate data preparation to deliver accurate, timely insights to your business intelligence tools. Simplify workflows to transform data and enable confident decision-making.

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React instantly with real-time data pipelines

Unlock real-time insights by orchestrating complex data pipelines with precision. Seamlessly process streaming data using continuous mode, trigger tasks instantly and enable fast, reliable analytics for data-driven decisions.

Explore Lakeflow Jobs demos

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Lakeflow Jobs Demo: Real-Time Ingestion, AI-Driven SQL and Seamless Automation

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In-Product Tour: Discover Lakeflow Jobs for Orchestrating ETL, Analytics and ML Pipelines

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Lakeflow Jobs Demo: Advanced Triggers Driving Real-Time Dashboards

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Lakeflow Jobs Demo: Unlock Conditional Execution, SQL Tasks and LLM Orchestration

Related Products

Discover more

Learn more about how the Databricks Data Intelligence Platform empowers data teams across all your data and AI workloads.

Lakeflow Connect

Efficient data ingestion connectors from any source and native integration with the Data Intelligence Platform unlock easy access to analytics and AI, with unified governance.

Lakeflow Declarative Pipelines

Delivers simplified, declarative pipelines for batch and streaming data processing, ensuring automated, reliable transformations for analytics and AI/ML tasks.

Databricks Assistant

Leverage AI-powered assistance to simplify coding, debug workflows and optimize queries using natural language for faster and more efficient data engineering and analysis.

Lakehouse Storage

Unify the data in your lakehouse, across all formats and types, for all your analytics and AI workloads.

Unity Catalog

Seamlessly govern all your data assets with the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform.

The Data Intelligence Platform

Find out how the Databricks Data Intelligence Platform enables your data and AI workloads.

Take the next step

Explore the Lakeflow Jobs docs

Explore resources and guides for Lakeflow Jobs across AWS, Azure and GCP environments.

Start a free trial

Start your free trial and try out Lakeflow Jobs.

Related content

Eckerson Report: Data Pipeline Orchestration

Read the report

Big Book of Data Engineering — 3rd Edition

Understanding ETL by O’Reilly

Self-Paced: Data Engineering With Databricks

Take the training

Lakeflow Jobs FAQ

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