CONNX for Azure Features:
Metadata information	Compatible with ANY .NET, ODBC, OLE DB, or JDBC compliant Applications
Metadata Import	Import of the metadata directly from SQL Azure into a CONNX Data Dictionary file (CDD).
Extensive Security	Protection to the field and record level. Encrypted metadata security.
Heterogeneous Views	Allows Heterogeneous Joins
Custom Data Type Conversion	Supports all SQL Azure data types
Full SQL Support	Multithreaded Asynchronous Execution
Full Transaction Support	Perform inserts, updates and deletes in a complete unit of work
Single sign-on reduces complexity	Provide transparent user access to multiple data sources
ANSI SQL Support	Compatible and consistent queries to all databases
Distributed SQL Processing	Reduces workload on the server.
Java™ and WebSphereŽ support is native	Web integration or enablement projects can quickly have direct access to SQL Azure data.
Learn More
Data Sheet	Why You Need CONNX
CONNX Technology Paper	CONNX Scalability
Diagram	CONNX Product Architecture
Demonstration	Watch the CONNX Demo

CONNX for Azure

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The CONNX for Azure module provides secure, real-time, read/write access to SQL Azure data sources in the cloud. In conjunction with other CONNX modules, you can perform seamless joins between Azure and any other supported on-premise database. For organizations that need cloud to cloud movement, we offer the ability to replicate and move data from Azure to Azure.

With CONNX for Azure, a single metadata model can be created that spans all enterprise data sources and applications requiring data access. The result is an enterprise-wide view of data that provides a reusable, standards-based framework for information access.

CONNX for Azure supports the creation of views, which facilitates hiding table relationships from the end user. CONNX views facilitates the creation of heterogeneous joins between multiple disparate databases.

In conjunction with CONNX Data Sync, SQL Azure data can be synced with on-premise data, or vice versa. Additionally, DataSync facilitates replicating data between two different SQL Azure data sources.