Databricks Lakehouse integrations to save data teams 40 hours a week

Modernize your data infrastructure with Airbyte's high speed data replication. Move large volumes of data with best-in-class CDC methods and replicate large databases within minutes.

Integrate Databricks Lakehouse with

Scale your data integration with confidence

Start using Databricks Lakehouse integrations in three easy steps

Integrate Databricks Lakehouse connector in Airbyte

Choose a source connector to extract data

Connect Databricks Lakehouse as a source in Airbyte to start the data extraction process - without deep technical expertise.

Choose a source connector from 400+ integrations available on Airbyte to start the data extraction process - without deep technical expertise.

Send Databricks Lakehouse data anywhere you need it

Store your data inside Databricks Lakehouse destination

Choose from 50+ Airbyte destinations, including warehouses, databases, and lakes, to store and analyze your Databricks Lakehouse data.

Choose Databricks Lakehouse from 50+ Airbyte destinations, including warehouses, databases, and lakes, to store and analyze the data from the source connector.

Configure your Databricks Lakehouse data synchronization

Configure the integration for data synchronization

Select the Databricks Lakehouse streams you need and define your sync frequency. Airbyte lets you choose exactly which data to load and where it lands for full pipeline control.

Select the streams you need and define your sync frequency. Airbyte lets you choose exactly which data to load and where it lands for full pipeline control.

Databricks Lakehouse integrations let you do all these

Sync Databricks Lakehouse data to BigQuery for advanced analytics

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Replicate Databricks Lakehouse data into PostgreSQL for structured querying

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Get insights by merging Databricks Lakehouse data with HubSpot

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Export Databricks Lakehouse data to Google Sheets for analysis

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Databricks Lakehouse integrations let you do all these

Sync Google Analytics data to Databricks Lakehouse for analysis

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Load PostgreSQL data in to Databricks Lakehouse effortlessly

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Keep Notion data fresh in Databricks Lakehouse with automated syncs

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Manage Salesforce data in Databricks Lakehouse BigQuery for analytics

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All about Databricks Lakehouse integrations

What are Databricks Lakehouse integrations?

The Databricks Lakehouse integration is designed to sync data to Delta Lake on Databricks Lakehouse. It facilitates the writing of each stream to its own delta table, enabling efficient data storage and management. This integration leverages the capabilities of the Databricks platform to handle large-scale data integration seamlessly.

Why choose Airbyte for Databricks Lakehouse data integration?

Choosing Airbyte for Databricks Lakehouse data integration offers several benefits, including open-source flexibility, community support, and robust capabilities for syncing data. Its user-friendly interface simplifies the integration process, allowing users to set up and manage data flows without extensive technical expertise, thus enhancing productivity.

What data can you extract from Airbyte’s Databricks Lakehouse integration?

Airbyte’s Databricks Lakehouse integration can load or extract various types of data streams, allowing users to efficiently manage their data architecture. It supports multiple sync modes, including full refresh and incremental syncing, ensuring that users can choose the best method for their data integration needs while maintaining data integrity across systems.

What data can you load to Databricks Lakehouse?

Airbyte’s Databricks Lakehouse integration can load or extract various types of data streams, allowing users to efficiently manage their data architecture. It supports multiple sync modes, including full refresh and incremental syncing, ensuring that users can choose the best method for their data integration needs while maintaining data integrity across systems.

How often does Airbyte sync my Databricks Lakehouse data?

Airbyte can sync your Databricks Lakehouse data according to the sync mode you select. It supports both full refresh syncs, which delete all previously synced data, and incremental syncs that append new data. The frequency of these syncs can be customized based on your requirements, enabling you to manage data updates effectively.

Do I need coding experience to use the Databricks Lakehouse integrations?

No coding experience is necessary to use the Databricks Lakehouse integrations with Airbyte. The platform is designed for ease of use, featuring an intuitive interface that guides users through the setup and configuration process, making data integration accessible to all users, regardless of their technical background.

About Databricks Lakehouse

Databricks Lakehouse combines data warehouses and data lakes into a unified platform. Integrating Databricks Lakehouse data enhances data engineers' capabilities by providing scalable data storage, enabling real-time analytics, and simplifying data management. This integration accelerates decision-making processes and fosters collaboration across teams while ensuring data consistency and reliability.

Data Engineering Platform / Integrations / Databricks Lakehouse