Hadoop vs Riak: What are the differences?
Hadoop: Open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage; Riak: A distributed, decentralized data storage system. Riak is a distributed database designed to deliver maximum data availability by distributing data across multiple servers. As long as your client can reach one Riak server, it should be able to write data. In most failure scenarios, the data you want to read should be available, although it may not be the most up-to-date version of that data.
Hadoop and Riak can be categorized as "Databases" tools.
"Great ecosystem" is the top reason why over 34 developers like Hadoop, while over 9 developers mention "High Performance " as the leading cause for choosing Riak.
Hadoop and Riak are both open source tools. Hadoop with 9.26K GitHub stars and 5.78K forks on GitHub appears to be more popular than Riak with 3.24K GitHub stars and 530 GitHub forks.
According to the StackShare community, Hadoop has a broader approval, being mentioned in 237 company stacks & 127 developers stacks; compared to Riak, which is listed in 15 company stacks and 10 developer stacks.
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