Microsoft Dataverse JDBC Driver

Easily connect live Microsoft Dataverse data with Java-based BI, ETL, reporting, AI/ML & custom apps.

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The Microsoft Dataverse JDBC Driver enables users to connect with live Microsoft Dataverse , directly from any applications that support JDBC connectivity. Rapidly create and deploy powerful Java applications that integrate with Microsoft Dataverse data including Accounts, Entities, and more!

JDBC architecture

Microsoft Dataverse JDBC Connectivity Features

  • Powerful metadata querying enables SQL-like access to non-database sources
  • Push down query optimization pushes SQL operations down to the server whenever possible, increasing performance
  • Client-side query execution engine, supports SQL-92 operations that are not available server-side
  • Connect to live Microsoft Dataverse (CDS) data, for real-time data access with the Microsoft Dataverse (CDS) JDBC Driver
  • Full support for data aggregation and complex JOINs in SQL queries
  • Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
  • Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the Microsoft Dataverse Connector.

Target Service, API

The driver connects to Microsoft Dataverse (formerly Common Data Service) via Web API. Provides access to all standard and custom entities in Power Platform environments.

Schema, Data Model

Models Dataverse entities as relational tables with full metadata discovery. Supports standard entities, custom entities, and relationships.

Key Objects

Standard entities (Account, Contact, etc.), Custom entities, Activities, Business Process Flows, and Virtual entities. Full access to Dataverse data model.

Operations

Full CRUD operations with SQL-92 support. Complex queries with JOINs across entities. Supports FetchXML queries and Dataverse-specific operations.

Authentication

OAuth 2.0 authentication with Azure AD. Supports interactive, application, and service principal authentication. Requires environment URL and appropriate permissions.

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JDBC access to Microsoft Dataverse (CDS)

Full-featured and consistent SQL access to any supported data source through JDBC


See what you can do with Microsoft Dataverse JDBC Driver

ETL, Data Warehouse
Data integration & ETL

Integrate Microsoft Dataverse into your systems and data warehouses through popular Java-based ETL/EAI tools. Supports both self-hosted environments and cloud service deployment.

BI, Reporting, Virtualization
BI, reporting & data virtualization

Connect to Microsoft Dataverse from any JDBC-compatible BI, reporting, and data virtualization platform. Provides seamless integration using SQL as the standard query interface across all tools.

Custom Java Applications
Custom Java applications

Use the Microsoft Dataverse JDBC Driver to rapidly deliver Java-based applications that connect with Microsoft Dataverse. Universal SQL-based interactivity simplifies integration and speeds time to market.

Connect to Microsoft Dataverse—empower every team

Management & Data Consumer
IT Department
ISVs & cloud service vendors

AI-assisted development with CData CLI

Build Microsoft Dataverse integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your Microsoft Dataverse schema. No more guessing table names or column types—AI sees the same metadata in your JDBC Drivers.

Your AI knows SQL

How to find table names, column names, and how to generate SQL syntax are things that AI knows well from millions of training data. No need for customization, no hallucinations. Your AI acts like a domain specialist to Microsoft Dataverse.

More accurate, more token-efficient

With CData CLI's queryable schema detection and highly efficient queries with filters, aggregation, joins with correct pushdown, your AI will achieve more accuracy with less token usage.

Supported AI Coding Tools
Download CData CLI
FAQs

Frequently asked Microsoft Dataverse JDBC driver questions

Learn more about Microsoft Dataverse JDBC drivers for data and analytics integration

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