Distributed alternatives to hadoop
These are some other alternatives to Hadoop and Apache Spark. Cluster Map Reduce, Hydra and Conclusion, they are all relatively good for big data projects. Read more here https://datafloq.com/read/Big-Data-Hadoop-Alternatives/1135
If you still looking into alternatives, this Gigaom article may help:https://gigaom.com/2012/07/11/because-hadoop-isnt-perfect-8-ways-to-replace-hdfs/By default Spark flushed to HDFS.
Since HDFS is open source alternative to GFS(Google FS), You can use a connector to GFS(Google FS is available via Google Cloud Platform Storage services) ... there is a catch: it is expensive on massive data transfers between nodes/clusters. Hadoop was not designed for realtime data, but less dynamic data. I hope this helps somehow.
- MapR claims 20% faster than regular HDFS(but underlying FS is HDFS) https://mapr.com/why-mapr/
- NetApp has an alternative to HDFS as well http://www.netapp.com/us/solutions/applications/big-data-analytics/index.aspx
All above links are the Gigaom article I shared. I hope this helps somehow.