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Real-Time Data Collection | Collects, stores, and organizes massive, unstructured data in real time 41 reviewers of Hadoop HDFS have provided feedback on this feature. | 85% (Based on 41 reviews) | |
Data Distribution | Based on 45 Hadoop HDFS reviews. Facilitates the disseminating of collected big data throughout parallel computing clusters | 91% (Based on 45 reviews) | |
Data Lake | Based on 39 Hadoop HDFS reviews. Creates a repository to collect and store raw data from sensors, devices, machines, files, etc. | 90% (Based on 39 reviews) |
Hadoop Integration | As reported in 43 Hadoop HDFS reviews. Aligns processing and distribution workflows on top of Apache Hadoop | 91% (Based on 43 reviews) | |
Spark Integration | As reported in 39 Hadoop HDFS reviews. Aligns processing and distribution workflows on top of Apache Hadoop | 89% (Based on 39 reviews) |
Machine Scaling | Facilitates solution to run on and scale to a large number of machines and systems 39 reviewers of Hadoop HDFS have provided feedback on this feature. | 84% (Based on 39 reviews) | |
Data Preparation | Curates collected data for big data analytics solutions to analyze, manipulate, and model 42 reviewers of Hadoop HDFS have provided feedback on this feature. | 86% (Based on 42 reviews) | |
Spark Integration | Based on 39 Hadoop HDFS reviews. Aligns processing and distribution workflows on top of Apache Hadoop | 89% (Based on 39 reviews) |
Cloud Processing | Based on 35 Hadoop HDFS reviews. Moves big data collection and processing to the cloud | 89% (Based on 35 reviews) | |
Workload Processing | Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems This feature was mentioned in 40 Hadoop HDFS reviews. | 86% (Based on 40 reviews) |