Databricks Integrations & Connectors

Windsor.ai’s ELT connectors seamlessly integrate data from 325+ sources into Databricks, enabling you to effortlessly consolidate, analyze, and visualize marketing and business data.

Automate Databricks data ingestion and unlock the platform’s big data and AI capabilities—all without coding and manual effort.

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Our popular Databricks connectors

Automatically send your data from these sources into Databricks using Windsor.ai.

Amazon Seller Central (Amazon SP)

Facebook Ads (Meta)

Facebook Page Insights (Meta)

Google Analytics 4

Google My Business

Google Search Console

Microsoft Ads (Bing Ads)

Adobe Analytics (v1.4)

Adobe Analytics (v2.0)

Amazon Vendor Central

Apple Search Ads

Blended Data Connector

Brevo (Sendinblue)

Commission Factory (Awin)

Facebook Lead Ads (Meta)

Google Ad Manager

Google Campaign Manager 360 (CM360)

Google Display & Video 360 (DV360)

Google PageSpeed Insights

Google Search Ads 360 (SA360)

Instagram Public Data

LinkedIn Business Manager

Microsoft Dynamics 365

MNTN (mountain.com)

Paypal Transaction

Pinterest Organic

Plausible Analytics

Rakuten Advertising

Salesforce Marketing Cloud

Twilio TaskRouter

Walmart Marketplace

Wikipedia Pageviews

Yahoo! Finance Price

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How to set up Databricks data integration with Windsor.ai

Windsor.ai provides 325+ data connectors for Databricks, enabling real-time business and marketing analysis without coding.

Explore our step-by-step documentation to seamlessly integrate your data into Databricks with the Windsor.ai ELT connector.

1

Configure Databricks environment

Set up your Databricks catalog and schema to ingest data from Windsor.ai and generate an access token.

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Unlock scalable and secure data analytics with Databricks integration

Windsor.ai’s ELT connectors facilitate data integration into Databricks, delivering enhanced security, scalability, and performance. Here’s how this integration can transform your business:

  • Centralize data from diverse sources
  • Boost performance and scalability
  • Achieve robust security and compliance
  • Bring together data from 325+ sources into Databricks, creating a unified platform for all your business information to easily extract actionable insights.
  • Eliminate manual data handling with Windsor.ai’s automated data pipelines, ensuring seamless and error-free data integration.
  • Enable cross-team collaboration through Databricks’ unified workspace, allowing data engineers, scientists, and analysts to work together more effectively.
  • Leverage Windsor.ai’s real-time data integration to power machine learning models and advanced analytics on Databricks.
windsor.ai interface
  • Scale effortlessly with Databricks’ distributed architecture to handle massive datasets, ensuring consistent performance even as your data grows exponentially.
  • Optimize storage and reduce redundancy with Windsor.ai’s incremental data loading, enabling real-time synchronization and efficient resource utilization.
  • Leverage Databricks’ auto-scaling capabilities to dynamically allocate resources based on workload demands, reducing costs while maintaining optimal performance.
  • Benefit from Databricks’ multi-cloud support, enabling flexibility and scalability across Azure, AWS, and Google Cloud platforms.
integrating data into databricks
  • Protect your data with Windsor.ai’s 100% secure integration and Databricks’ advanced encryption for data at rest and in transit.
  • Implement fine-grained access controls using Databricks’ integration with identity providers like Azure Active Directory (AAD), ensuring compliance with GDPR, HIPAA, SOC, and ISO 27001.
  • Enhance data transparency and accountability with Databricks’ audit logging and data lineage features, ensuring traceability across your data pipelines.
soc2 windsor
Centralize data from diverse sources
  • Bring together data from 325+ sources into Databricks, creating a unified platform for all your business information to easily extract actionable insights.
  • Eliminate manual data handling with Windsor.ai’s automated data pipelines, ensuring seamless and error-free data integration.
  • Enable cross-team collaboration through Databricks’ unified workspace, allowing data engineers, scientists, and analysts to work together more effectively.
  • Leverage Windsor.ai’s real-time data integration to power machine learning models and advanced analytics on Databricks.
Boost performance and scalability
  • Scale effortlessly with Databricks’ distributed architecture to handle massive datasets, ensuring consistent performance even as your data grows exponentially.
  • Optimize storage and reduce redundancy with Windsor.ai’s incremental data loading, enabling real-time synchronization and efficient resource utilization.
  • Leverage Databricks’ auto-scaling capabilities to dynamically allocate resources based on workload demands, reducing costs while maintaining optimal performance.
  • Benefit from Databricks’ multi-cloud support, enabling flexibility and scalability across Azure, AWS, and Google Cloud platforms.
Achieve robust security and compliance
  • Protect your data with Windsor.ai’s 100% secure integration and Databricks’ advanced encryption for data at rest and in transit.
  • Implement fine-grained access controls using Databricks’ integration with identity providers like Azure Active Directory (AAD), ensuring compliance with GDPR, HIPAA, SOC, and ISO 27001.
  • Enhance data transparency and accountability with Databricks’ audit logging and data lineage features, ensuring traceability across your data pipelines.

FAQs

What is Databricks?

Databricks is a unified data analytics platform built on Apache Spark, designed to simplify data engineering, analytics, and machine learning workflows. It integrates with cloud platforms like Azure, AWS, and Google Cloud, offering a collaborative environment for large-scale data processing and AI development.

Databricks delivers unmatched scalability, enabling seamless handling of massive datasets. Its Delta Lake ensures data reliability and ACID compliance, while the Photon engine accelerates query performance by up to 10X. The platform supports collaboration with a unified workspace and integrates with MLflow for advanced machine learning workflows.

Tired of manually transferring data to Databricks? Try Windsor.ai today to automate the process

Access all your data from various sources in one place. Get started for free with a 30-day trial.
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