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Cloudera shops are really excited about the DataDirect Cloudera ODBC Hive driver to connect their enterprise. Our connector represents the democratization of big data since it works with all ODBC compliant applications across all business platforms, and data is accessible to everyone that knows SQL, well beyond data scientists and programmers writing Java, Pig, or R.
This is assumed since you're looking for enterprise ODBC connectivity which is a key indicator that your big data initiative is proving business value across the organization. Demand for ODBC connectivity is really picking up, and I am getting several questions on support for multiple, concurrent connections and authentication with hive2 for which we introduced feature support in our 7.1 SP1 driver. These shops are running CDH 4.1 to store mostly large scale transactional data. It's exciting to see sponsorship at the C-level since these organizations understand the competitive advantage gained by having more departments derive business value from their big data.
It's true there are open source ODBC drivers available. However, the list of available connectors to download for Oracle, Teradata, Microstrategy, Netezza, Qlikview and Tableau are a mix between limited ODBC compliance and sqoop based connectors supporting different levels of Hive Server.
Here are the reasons YOU have shared with me (paraphrased in quotes) for choosing DataDirect for Cloudera ODBC connectivity:
I am seeing hive2 enable enterprise application adoption for data warehousing, federation and visualization. I am actively working on multiple POCs across the following use cases:
My prediction is that we will see an increasing number of these projects with the release of hiveserver2 and Impala.
DataDirect Universal Cloudera ODBC driver will support the latest SQL technologies in Hadoop ecosystem.
Technology researcher, thought leader and speaker working to enable enterprises to rapidly adopt new technologies that are adaptive, connected and cognitive. Sumit has been working in the data access infrastructure field for over 10 years servicing web/mobile developers, data engineers and data scientists. His primary areas of focus include cross platform app development, serverless architectures, and hybrid enterprise data management that supports open standards such as ODBC, JDBC, ADO.NET, GraphQL, OData/REST. He has presented dozens of technology sessions at conferences such as Dreamforce, Oracle OpenWorld, Strata Hadoop World, API World, Microstrategy World, MongoDB World, etc.
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