Apache Apex Features
What are the features of Apache Apex?
Database
- Real-Time Data Collection
- Data Distribution
- Data Lake
Integrations
- Hadoop Integration
- Spark Integration
Platform
- Machine Scaling
- Data Preparation
- Spark Integration
Processing
- Cloud Processing
- Workload Processing
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Apache Apex Categories on G2
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Database
Real-Time Data Collection | Collects, stores, and organizes massive, unstructured data in real time 14 reviewers of Apache Apex have provided feedback on this feature. | 93% (Based on 14 reviews) | |
Data Distribution | Based on 14 Apache Apex reviews. Facilitates the disseminating of collected big data throughout parallel computing clusters | 92% (Based on 14 reviews) | |
Data Lake | Creates a repository to collect and store raw data from sensors, devices, machines, files, etc. 14 reviewers of Apache Apex have provided feedback on this feature. | 88% (Based on 14 reviews) |
Integrations
Hadoop Integration | Based on 14 Apache Apex reviews. Aligns processing and distribution workflows on top of Apache Hadoop | 93% (Based on 14 reviews) | |
Spark Integration | Aligns processing and distribution workflows on top of Apache Hadoop 13 reviewers of Apache Apex have provided feedback on this feature. | 88% (Based on 13 reviews) |
Platform
Machine Scaling | Based on 14 Apache Apex reviews. Facilitates solution to run on and scale to a large number of machines and systems | 88% (Based on 14 reviews) | |
Data Preparation | Based on 14 Apache Apex reviews. Curates collected data for big data analytics solutions to analyze, manipulate, and model | 87% (Based on 14 reviews) | |
Spark Integration | Aligns processing and distribution workflows on top of Apache Hadoop 13 reviewers of Apache Apex have provided feedback on this feature. | 88% (Based on 13 reviews) |
Processing
Cloud Processing | As reported in 14 Apache Apex reviews. Moves big data collection and processing to the cloud | 87% (Based on 14 reviews) | |
Workload Processing | As reported in 13 Apache Apex reviews. Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems | 90% (Based on 13 reviews) |