By Amazon Web Services (AWS)
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Real-Time Data Collection
Collects, stores, and organizes massive, unstructured data in real time
Data Distribution
Facilitates the disseminating of collected big data throughout parallel computing clusters
Data Lake
Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.
Hadoop Integration
Aligns processing and distribution workflows on top of Apache Hadoop
Spark Integration
Machine Scaling
Facilitates solution to run on and scale to a large number of machines and systems
Data Preparation
Curates collected data for big data analytics solutions to analyze, manipulate, and model
Cloud Processing
Moves big data collection and processing to the cloud
Workload Processing
Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems