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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.
Sumit Sarkar is a Chief Data Evangelist at Progress, with over 10 years experience working in the data connectivity field. The world's leading consultant on open data standards connectivity with cloud data, Sumit's interests include performance tuning of the data access layer for which he has developed a patent pending technology for its analysis; business intelligence and data warehousing for SaaS platforms; and data connectivity for aPaaS environments, with a focus on standards such as ODBC, JDBC, ADO.NET and ODATA. He is an IBM Certified Consultant for IBM Cognos Business Intelligence and TDWI member. He has presented sessions on data connectivity at various conferences including Dreamforce, Oracle OpenWorld, Strata Hadoop, MongoDB World and SAP Analytics and Business Objects Conference, among many others.
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