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by Eric Madariaga | October 31, 2017
Million Row Challenge: BigQuery Redshift We have already demonstrated that our drivers are unmatched when it comes to read performance, especially when working with large data sets. However, many of our customers use enterprise ETL or Data Warehousing solutions and require high-performance... [read more]
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by Eric Madariaga | October 03, 2016
Leading Edge NoSQL Big Data Drivers In addition to the new SQL engine , our teams have updated our NoSQL and Big Data drivers with a rich set of features that truly put them in a class of their own. The new drivers offer the utmost in flexibility when accessing data, allowing users to acce... [read more]
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by Jerod Johnson | April 14, 2016
The Apache Cassandra database provides its users scalability, high availability, fault tolerance, and linear scalability without sacrificing performance. By using any of the CData Drivers for Apache Cassandra , you can access your Apache Cassandra data using SQL to read from and write to ... [read more]
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by Jerod Johnson | April 07, 2016
With BigQuery, Google allows its users to upload and query extensive data sets utilizing their powerful processing power, removing the need for creating and maintaining the needed hardware and infrastructure in-house. By using any of the CData Google BigQuery drivers , you are able to tap... [read more]
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by Jerod Johnson | March 31, 2016
MongoDB is a leading example of NoSQL, Big Data storage. They allow users to store different documents in a single source, providing flexibility to developers as their data models grow and change. The CData Drivers for MongoDB allow you to interact with your data in MongoDB as if it were ... [read more]
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