
SAS Event Stream Processing
SAS Event Stream Processing empowers organizations to harness fast-moving data from various sources, including IoT devices and transactions. It seamlessly integrates streaming data quality with advanced analytics, enabling users to filter, cleanse, and analyze vast amounts of data in real-time, facilitating agile decision-making and operational efficiency across diverse industries.
Top SAS Event Stream Processing Alternatives
Historian
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TokuMX
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Bitsy
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Cloudera Data Flow
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CA IDMS
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CA Database Management for DB2 for z/OS
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IBM Infosphere Optim
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ClickHouse
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IBM Compose for JanusGraph
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Rocket D3
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IBM Compose for MongoDB
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XAP
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IBM Compose for ScyllaDB
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PrestoDB
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IBM Compose for PostgreSQL
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Top SAS Event Stream Processing Features
- Real-time streaming analytics
- Prebuilt data quality routines
- Low-latency response times
- High-volume event handling
- Advanced machine learning integration
- Intuitive user interface
- Edge-to-cloud capabilities
- Cloud and self-managed options
- Comprehensive connector catalog
- Streamlined project management workflow
- Intelligent resource management
- Proactive alerts and notifications
- Video and image processing
- 1+N-Way Failover system
- Built-in auditing and tracking
- GPU acceleration support
- Collaborative SAS community access
- Multi-source data integration
- Customizable project windows
- Rapid decision-making automation
Top SAS Event Stream Processing Alternatives
- Historian
- TokuMX
- Bitsy
- Cloudera Data Flow
- CA IDMS
- CA Database Management for DB2 for z/OS
- IBM Infosphere Optim
- ClickHouse
- IBM Compose for JanusGraph
- Rocket D3
- IBM Compose for MongoDB
- XAP
- IBM Compose for ScyllaDB
- PrestoDB
- IBM Compose for PostgreSQL