Which Edition Do I Need?

Answer these questions to find the right edition for you:

Universal Data Access (UDA) · ODBC · JDBC · ADO.NET · OLE DB

UDA

One standard.
Every database.
Every era of apps.

High-performance, secure ODBC and JDBC connectivity for DBMS-independent applications and services — from BI tools, spreadsheets, and lakehouses to MCP servers and AI agent frameworks. The open standards that powered three decades of data access now power the age of AI.

Windows · macOS · Linux — one driver family across all platforms

OpenLink UDA, exploded Exploded view of OpenLink UDA in three layers: databases and cross-protocol bridges at the base, OpenLink UDA with its ODBC, JDBC, ADO.NET and OLE DB drivers as the focal middle layer, and the BI tools, productivity suites, custom apps, MCP servers and AI agents it serves on top. Databases & Cross-Protocol BridgesORACLE · SQL SERVER · Db2 · POSTGRESQLMYSQL · INFORMIX · SYBASE · PROGRESS · INGRESODBC → JDBC · JDBC → ODBC BRIDGES OpenLink UDAODBC · JDBC · ADO.NET · OLE DBOPEN STANDARDS Applications & ServicesBI TOOLS · PRODUCTIVITY · CUSTOM APPSMCP SERVERS · AI AGENTS1993 TO NOW
Data Sources Oracle SQL Server PostgreSQL MySQL IBM Db2 Databricks Snowflake
OpenLink UDA
Consumers Tableau Power BI Excel MCP Servers LangChain AI Agents
Trusted for enterprise data connectivity since 1993
20+
DBMS supported
3
Major platforms
Windows · macOS · Linux
30+
Years of enterprise
connectivity
4
Standards
ODBC · JDBC · ADO.NET · OLE DB
Drivers by database

One driver family, every major DBMS#

Each database gets its own ODBC and JDBC driver, built and supported by OpenLink — with Lite (Single-Tier) and Enterprise (Multi-Tier) editions for every one.

Bridge drivers

Bridge drivers#

Enhance the security, open standards compatibility, and deployment flexibility of your existing connector installations with our advanced ODBC and JDBC bridge connectors.

ODBC → JDBC

ODBC-to-JDBC Bridge

ODBC applications and BI tools reach JDBC-accessible data sources through their JDBC drivers.

Lite · Enterprise

Editions, pricing & trial →
ODBC → ODBC

ODBC-to-ODBC Bridge

ODBC applications reach data sources through an existing ODBC driver, adding the bridge’s deployment options.

Lite · Enterprise

Editions, pricing & trial →
JDBC → ODBC

JDBC-to-ODBC Bridge

Java applications reach data sources through an existing ODBC driver.

Lite · Enterprise

Editions, pricing & trial →
JDBC → JDBC

JDBC-to-JDBC Bridge

Java applications reach data sources through an existing JDBC driver, by way of the multi-tier edition.

Enterprise

Editions, pricing & trial →

Lakehouses and cloud data warehouses such as Databricks and Snowflake publish their own JDBC drivers: the ODBC-to-JDBC bridge puts them within reach of ODBC applications and BI tools, and the JDBC-to-JDBC bridge brings Java applications to them through the multi-tier edition.

Free trial

Get connected today#

Download a free trial and experience the performance and reliability of OpenLink’s Universal Data Access connectors for yourself. Choose your database or bridge, then the edition.

Personas

Built for your role#

OpenLink Data Access Drivers deliver tailored capabilities for every data professional.

Ship apps with dependable database connectivity

Build modern, high-performance, secure, and cross-platform DBMS independent applications, services, and AI Agents using existing open standards such as ODBC, JDBC, and ADO.NET.

Developer: Ship apps with dependable database connectivity
One interface, every generation of client

The standards that outlived every platform shift#

Client-server, the web, the cloud, and now AI — each wave replaced the applications, but not the interface they use to reach data. ODBC and JDBC remain the common language between apps and databases, which is why the newest AI clients speak them too.

Established · BI & Analytics

BI tools and desktop productivity

Tableau, Power BI, Excel, and every ODBC-aware analytics tool connect to any supported database through one driver family — with the scrollable cursors and high-throughput fetch paths that interactive dashboards and pivot tables demand.

TableauPower BIExcelCrystal Reports
Established · Apps & Data Platforms

Custom applications and lakehouses

DBMS-independent applications, services, and ETL pipelines — written once against ODBC, JDBC, or ADO.NET — run unchanged against Oracle, SQL Server, PostgreSQL, Databricks, Snowflake, and 20+ other systems.

Custom appsETL / servicesDatabricksSnowflake
Now · AI Ecosystem

MCP servers and AI agent frameworks

MCP servers, LangChain, LlamaIndex, and Python DBAPI tool servers reach enterprise data the same way BI tools always have — through ODBC and JDBC. The same drivers, the same security model, no new integration layer to build or trust.

MCPLangChainLlamaIndexPython DBAPI

Same drivers. Same standards. Same security model. From spreadsheets to AI agents.

Why OpenLink UDA

Connectivity that compounds, not connectivity you rebuild#

01

Broad ODBC- and JDBC-compliant application support

Handle application-specific idiosyncrasies effortlessly, so your connectors work consistently across a wide range of database clients and tools.

02

Broad operating system support

Seamlessly connect across Windows, macOS, and Linux environments, ensuring your applications run reliably no matter the platform.

03

Easy integration

Our solutions slide effortlessly into your existing systems, connecting tools and data sources without the usual headaches or complexity.

04

Enhanced security architecture

Fine-grained, attribute-based access control plus end-to-end SSL/TLS encryption apply uniformly to every consumer — a spreadsheet, a BI dashboard, or an AI agent. New client types don’t create new security review cycles.

05

Preserve IT investments

The databases you run today become instantly reachable by the newest tools — no migration, no ETL project, no forced upgrade. Open standards mean the data-access layer you installed in one era keeps paying off in the next.

06

Reduce development costs

Applications written against ODBC, JDBC, or ADO.NET are portable across every supported database. Swap Oracle for PostgreSQL, add a lakehouse, consolidate systems — the application code doesn’t change, and neither does the AI tooling built on top of it.

07

Secure and controlled access

Apply connection pooling and end-to-end SSL/TLS encryption for complete peace of mind.

08

Sophisticated functionality

Scrollable cursors, multiple active result sets (MARS), database mirroring, and deferred fetching serve interactive dashboards and sustained agentic query loops alike.

09

Unmatched performance

Engineered for speed, our connectors minimize latency and provide the high-throughput performance your applications demand.

Support & Resources

Support & resources#

Get the help you need to succeed with our comprehensive documentation, expert support, and direct access to our team.

Documentation

Complete guides, API references, and tutorials to help you integrate and optimize your data connectivity.

UDA documentation →

Installation and basic configuration

Support

Get expert technical support, troubleshooting assistance, and answers to your questions.

Support options →

Contact us

Reach out directly to our team for sales inquiries, partnerships, or general questions.

Contact us →

Standards-based connectivity, from BI to AI.#

Connect your existing databases, lakehouses, and AI agents through one driver family — on Windows, macOS, and Linux.

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