Re:Zillabyte Relaunches to Provide Infrastructure for Data Apps
by npkarnik on Thursday August 21, 2014 @03:07PM
(#8209052)
Similar space, but a few major differences.
PiCloud served a different niche, as it provided much lower level access to resources. From what I understand, doing distributed computing on the PiCloud platform required the developer to coordinate job spawning and other lower levels details of distribution.
Zillabyte is designed for distributed computation on demand without requisite distributed systems expertise.
Hadoop MR, Spark, Storm, etc. are all excellent systems for large scale computation, but realistically, the learning curve to administer and run non-trivial jobs on these platforms is quite steep. At larger companies, there are entire teams that specialize in maintaining data infrastructure systems and running jobs on them.
For smaller companies, or those without domain expertise in the "big data" ecosystem, it can be daunting to acquire the capabilities to be Hadoop/Spark experts.
PiCloud served a different niche, as it provided much lower level access to resources. From what I understand, doing distributed computing on the PiCloud platform required the developer to coordinate job spawning and other lower levels details of distribution.
Zillabyte is designed for distributed computation on demand without requisite distributed systems expertise.
Hadoop MR, Spark, Storm, etc. are all excellent systems for large scale computation, but realistically, the learning curve to administer and run non-trivial jobs on these platforms is quite steep. At larger companies, there are entire teams that specialize in maintaining data infrastructure systems and running jobs on them.
For smaller companies, or those without domain expertise in the "big data" ecosystem, it can be daunting to acquire the capabilities to be Hadoop/Spark experts.
[disclaimer: I work for Zillabyte]