Matchbook Connector for

Databricks

Turn Your Lakehouse Into a Real-Time Entity Intelligence Engine—With 95%+ Match Accuracy, ML-Ready Entities, and Zero Manual Cleanup

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Native Integration

Seamless integration pipeline that transforms your Databricks environment into an intelligent data processing engine

Connect

Connect

Authenticate using Databricks credentials (Unity Catalog-aware). No API setup needed.

Transform & Match

Transform & Match

AI models cleanse, normalize, match, and enrich entities.

Stream to Delta

Stream to Delta

Real-time output directly to Delta tables with schema tracking.

Consume Everywhere

Consume Everywhere

SQL, MLflow, dashboards, reverse ETL, Lakehouse apps.

Built for the Databricks Ecosystem

Compare legacy B2B data connectors with the Matchbook AI Databricks Connector on the same key dimensions.

Parameter
LEGACY B2B DATA CONNECTORS
MATCHBOOK AI DATABRICKS CONNECTOR
Match Rates
40-60%
95%+
Data Syncs
Monthly/Batch
Real-Time Streaming
Entity Metadata
Limited/Flat
Unity Catalog Enhanced
Trust Level
Low
Enterprise-Grade
Manual Labor
High
↓ 80% Reduction
Setup Time
4-6 months
< 2 weeks

SEE IT IN ACTION

Enhance Your Databricks Pipelines

Delta Lake Native Integration

  • Write directly into Delta tables—no external pipelines needed.
  • Supports schema evolution & ACID optimizations.

Unity Catalog Alignment

  • Attach trusted entity IDs, golden records, and enrichments as catalog metadata.
  • Improve governance, lineage, and sharing through Unity Catalog.

Structured Streaming

  • Sub-second updates to entity states.
  • Perfect for BI dashboards, reverse ETL, and ML pipelines.

MLflow-Ready Entities

  • Pre-engineered, enriched entities reduce feature engineering time.
  • Clean inputs improve model accuracy significantly.
OUR PROCESS

The TruMatch Process Provides:

Three core pillars that ensure your data is always accurate, timely, and actionable.

Real Time Data

Access live entity data with instant updates and synchronization across all systems.

High Match Rates

Industry-leading accuracy with 95%+ match rates powered by advanced AI algorithms.

Accurate Data Mastery

Complete data governance with validation, enrichment, and quality assurance.

WHY CHOOSE US

Our plug-and-play connector enables you to automatically match and connect your data to Databricks catalog data and deliver the data back to support internal use cases. Explore how you can match and remove errors in data right within your Databricks environment.

Simplified Automation

Automate complex data workflows without managing infrastructure.

Quicker Time-to-Value

Deploy in weeks, not months, with pre-built Snowflake connectors.

Increased Confidence

Make decisions based on data you can verify and trust.

Platform Overview

Global Customer 360 Standardization

Unify fragmented customer records across regions by cleansing, matching, and enriching data to build a trusted, global Customer 360 foundation.

Multi-System Master Data Governance

Modernize governance across CRMs and ERPs with automated matching, enrichment, and real-time updates that eliminate legacy batch processes.

Sales Intelligence & Lead Routing Optimization

Improve lead-to-account matching accuracy using automated third-party-aware enrichment, boosting scoring precision and reducing manual rework.

Unified Third-Party Data Integration

Consolidate inconsistent external data feeds into a single, automated enrichment and monitoring pipeline for accurate, always-current entity data.

Supplier Mastering & Spend Analytics

Create a unified, high-confidence supplier master with automated enrichment and rules-driven decisioning to improve spend visibility and compliance.

Data Monetization & Persistent Entity ID Generation

Generate persistent, lifecycle-managed Entity IDs and mastered datasets that enable scalable customer-facing products and data monetization.

Vendor Compliance, Risk Monitoring & M&A Support

Automate vendor verification, risk assessments, and clean customer/vendor mastering to accelerate compliance workflows and M&A integration.

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