Working with big data isn’t easy — or cheap. Big data typically demands massive amounts of storage and computing, electricity and space to run and cool all the hardware, plus ample staffing and resources. As any organization that works with large data clusters in production can tell you, the associated costs can multiply quickly, making efficiency paramount.
Introducing QFS 1.0
Developed at Quantcast and now released to the open source community, the Quantcast File System (QFS) is an alternative to the Hadoop Distributed File System (HDFS) for large-scale batch data processing. It is a production hardened, 100% open-source distributed file system that is fully integrated with Hadoop and delivers significantly improved performance while consuming 50% less disk space.
Why Open Source?
File systems are critical infrastructure and need to be solid. We believe the scrutiny and collaboration the open source community can provide are the best way to advance QFS, while providing a huge benefit in return to other organizations that adopt it.
We welcome your questions, comments and contributions to the QFS project and look forward to collaborating on its continued evolution. We’ll be checking our changes into github and packaging new releases periodically.
QFS is available to anyone for a free download. Visit our repository on GitHub to get started with QFS today!
For more information on QFS and its genesis, download our data sheet.
More Processing Power — Less Hardware
Compact data storage requirements means fewer hard drives to purchase and power. Faster data throughput means more power, and better results. We built QFS to deliver both.
Key Features of QFS
|Data||Last Update||Next Update|
|Daily Traffic||Apr 24, 2014||Apr 25, 2014 by 9AM PDT|
|Non-Quantified Traffic||Apr 2014||May 2014|
|Quantified Demographics||Apr 23, 2014||Apr 30, 2014 by 9AM PDT|
|Geographics||Apr 2014||May 2014|
|Business||Apr 2014||May 2014|
|Lifestyle||Apr 2014||May 2014|