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Teiid is a data virtualization system that allows applications to use data from multiple, heterogenous data stores.
Teiid is comprised of tools, components and services for creating and executing bi-directional data services.  Through abstraction and federation, data is accessed and integrated in real-time across distributed data sources without copying or otherwise moving data from its system of record.

Teiid Parts

Query Engine The heart of Teiid is a high-performance query engine that processes relational, XML, XQuery and procedural queries from federated datasources.  Features include support for homogeneous schemas, heterogeneous schemas, transactions, and user defined functions.
Embedded An easy-to-use JDBC Driver that can embed the Query Engine in any Java application.
Server

An enterprise ready, scalable, managable, runtime for the Query Engine that runs inside JBoss AS that provides additional security, fault-tolerance, and administrative features.

Connectors

Teiid includes a rich set of Translators and Resource Adapters that enable access to a variety of sources, including most relational databases, web services, text files, and ldap.  Need data from a different source? A custom translators and resource adaptors can easily be developed.

Tools

 

         
Looking for a fully supported, certified Data Services Platform?

Teiid Designer
tei·id (TEE-id)

adj.     pertaining to a family of tropical American whip-tailed lizards noted for speed and agility.
n.     a set of open source enterprise information integration tools noted for their ability to rapidly create data services that can quickly adapt to changes in your IT environment.

Blog Posts

Teiid 8.7 Final Released
Apr 16, 2014 3:23 PM
Teiid 8.7 has been released and is now available for download and from the Maven repository. This w…
8.7 CR1 Posted
Mar 28, 2014 4:25 PM
8.7 CR1 has been posted to the downloads. Since Beta2 this release includes features such as:TEIID-…
Read Microsoft Excel Document As Relational Table Using Teiid
Mar 20, 2014 12:04 PM
If you are thinking, who in this age of big data with Hadoop, MongoDB et.al one still bothers to fid…
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