Hadoop Delivers Big Data Scalability
With industry backers like Yahoo! and Facebook, it didn't take Hadoop long to become one of the core technologies used to wrangle Big Data. Hadoop and the Hadoop Distributed File System provide reliable and scalable storage on inexpensive commodity servers. While the MapReduce model can prove challenging to work with, the resulting scalability is often worth the effort.
Hive Delivers Ease of Use
Hive was created to allow Hadoop users to express queries in a familiar, high-level language without having to directly write MapReduce programs. The Hive Query Language (HiveQL) was born and Hive is now delivering on the promise of a data warehousing solution built on top of Hadoop for easy summarization, querying, and analysis of large datasets stored in Hadoop. Hive and Hadoop continue to excel in scalability, handling thousands of nodes and petabytes of data. It is now time to turn to the challenge of improving performance.
Pervasive TurboRush for Hive Delivers Performance
Pervasive DataRush is a leader in delivering increased performance with less hardware. And that is exactly what we do for your Hive solution. Simply add Pervasive TurboRush for Hive, and your Hive queries will run faster AND require fewer resources.
TurboRush for Hive Capabilities
- No learning curve: just drop it in and speed it up!
- Preserve your HiveQL development investment.
- Reduce the number of machines in your cluster: cheaper and greener.
- Increase workload capacity: run more queries and perform deeper analysis.
- Benefit from Hadoop's scalable and robust distributed file system.
Apache Hive, Hive, Apache Hadoop, Hadoop, and Apache are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.