Automate document processing into Databricks
Automate exporting data from your documents into Databricks by integrating the Affinda Platform with your Databricks account. Achieve straight-through processing by eliminating manual data entry for good.
Get data from your documents into Databricks
Invoices, receipts and contracts
Extract structured data from invoices, receipts and contracts directly into your Databricks Lakehouse - enabling analytics, reporting and data science at scale.Compliance forms and audit reports
Extract compliance data from forms and audit reports directly into your Databricks Lakehouse - ensuring audit readiness, supporting regulatory reporting and enabling compliance analytics at scale.Onboarding forms and resumes
Extract employee data from onboarding forms and resumes directly into your Databricks Lakehouse - powering workforce analytics, improving HR planning and enabling talent insights at scale.Purchase orders and invoices
Extract procurement data from purchase orders and invoices directly into your Databricks Lakehouse - enabling spend analysis, identifying cost savings opportunities and improving supplier management at scale.How to automate document processing into Databricks
Affinda processes your documents in the background and sends data straight into Databricks.Automatically send your documents to Affinda
Upload, email or integrate your documents as soon as you receive them
AI agents extract and validate key data fields
Affinda's AI agents extract and transform your data with superior accuracy, thanks to advanced contextual understanding and machine validation.
See your data appear in Databricks
Affinda sends your data straight into Databricks, automatically populating all the extracted data fields.
Automate extracting and importing any of your document data into Databricks
Automate data integration with 99%+ accuracy
Extract data from any document, in any format or layout, with more than 99% accuracy. Unstructured data? Complex tables? Multiple languages? No problem. Our AI data integration eliminates errors and costly rework.See ROI in weeks, not months
Start automating your Databricks data workflows with minimal setup and flexible pricing. Our AI agents learn from a handful of sample documents, delivering measurable ROI within weeks - not months.AI that instantly learns and adapts
Affinda's intelligent document processing platform is the only one with instant learning. It improves with every interaction, adapting to your data in real time to make faster, smarter, human-like decisions.Easy integration, zero disruption
Affinda connects to your Databricks Lakehouse without disrupting your existing workflows. No ripping out systems, no change-management headaches. Integrate it easily - with code or without.Configure, customize and maintain control
Build your own intelligent document processing solution for Databricks with our platform, or work with our team for setup and support. Maintain complete control, update configurations anytime and scale your data workflows independently.Enterprise-grade security
Your documents contain sensitive business data, and we protect it. Affinda is ISO 27001:2022 certified, and SOC 2 and GDPR compliant, delivering enterprise-grade security and compliance for organizations processing data into Databricks.Frequently asked questions
Does Affinda integrate with Databricks?
Yes. Affinda's integration with Databricks connects your document processing directly to your data analytics workflows. It automatically extracts, validates and syncs data from invoices, contracts, compliance documents, HR forms and procurement records straight into your Databricks Lakehouse.With Affinda, you can populate your data lake faster, eliminate manual entry errors and power analytics at scale by leveraging a single, automated workflow.
How does the Affinda-Databricks integration work?
ffinda processes documents from any source - email, upload or API - and extracts structured data such as supplier names, invoice numbers, contract values, employee details and procurement amounts using AI agents trained on your specific document types.
nce extracted and validated, this data automatically flows into your Databricks Lakehouse in the format you need, ready for analytics, reporting and data science. Whether it's invoices, contracts, purchase orders or resumes, the data arrives structured and analysis-ready.
You can configure validation rules, custom data transformations and business logic using natural language - ensuring every record meets your quality standards before it reaches your data lake.
What types of documents can Affinda process and send to Databricks?
Affinda processes any document type and sends structured data directly to your Databricks Lakehouse, including:
- Invoices, purchase orders and receipts
- Contracts and supplier statements
- Compliance forms and audit reports
- Onboarding forms, resumes and HR documents
It handles both digital and scanned documents across multiple formats and layouts, using advanced OCR and AI-powered extraction to achieve more than 99% accuracy.
Do I need to manually upload files to Databricks?
No. With Affinda, file uploads can be fully automated using our APIs. To get your documents to Affinda, you can choose from three options:
- Drag and drop documents into your Affinda workspace
- Forward documents via email manually or set up automatic email forwarding
- Connect your document source via API or third-party cloud storage
Once received, data is automatically extracted, validated and sent directly to your Databricks Lakehouse - ready for analytics and reporting.
Can I define my own validation and business rules?
Yes. Affinda lets you configure custom validation and business logic before any data reaches your Databricks Lakehouse.
For example, you can set rules to:
- Verify invoice amounts match contract values
- Flag missing compliance dates or incomplete audit records
- Validate supplier details against approved vendor lists
- Check that employee data meets HR data standards
These checks ensure your data arrives in Databricks clean, consistent and ready for analytics and reporting.
Can Affinda handle bulk invoice uploads for Databricks?
Yes. Affinda is built for scale. Whether you're processing 50 documents a month or 50,000 a day, the platform handles bulk uploads and automated batch processing without breaking stride.
This makes it ideal for analytics teams, data science initiatives and enterprise organizations that need to populate their Databricks Lakehouse with high volumes of invoices, purchase orders, compliance documents and HR records - all while maintaining accuracy and speed.
How fast can I get started with the Databricks integration?
You can start processing documents into your Databricks Lakehouse in under an hour. Affinda's flexible integration lets you:
- Configure your document extraction models with a few sample files
- Connect to your Databricks Lakehouse via API
- Map extracted fields to your data schema and start sending data immediately
For teams needing deeper customization, Affinda provides full API access and dedicated support to tailor the integration to your specific data workflows and analytics requirements.
Is my financial data secure when using Affinda with Databricks?
Absolutely. Affinda follows security standards including ISO 27001:2022, SOC 2 and GDPR for security and compliance. Data is encrypted in transit and at rest, with strict role-based access controls and full audit logging. You can also select region-specific data storage to meet your organization's compliance and data residency requirements.
What are the main benefits of integrating Affinda with Databricks?
By integrating Affinda with Databricks, you can:
- Eliminate manual data entry and reduce errors across your data workflows
- Accelerate analytics, reporting and data science initiatives with faster data ingestion
- Power workforce analytics, compliance reporting and procurement spend analysis at scale
- Improve data quality with automated validation before records reach your Lakehouse
- Scale document processing from hundreds to thousands of files without adding headcount
- Gain full visibility into extraction accuracy and data pipeline performance