What is NAIAD?
NAIAD is an open-source distributed data processing system designed for low latency and high throughput analysis of large datasets. It was developed by Microsoft Research to bridge the gap between batch processing systems like Hadoop and stream processing systems like Storm.
Some key features of NAIAD include:
- Unifies stream and batch processing models to enable real-time processing on large data
- Achieves low latency via timely dataflow, incremental processing and loop-carried state
- Provides exactly-once semantics without impacting latency or throughput
- Supports cyclic dataflows for iterative computations
- Handles fine-grained feedback loops seamlessly
- Scales efficiently through partitioning and scale-out
NAIAD can run on commodity clusters and has flexible APIs for .NET and C#. It is compatible with existing data pipelines. The unified programming model allows developers to represent streaming, batch and iterative programs using the same system. This eliminates need to combine separate platforms.
Overall, NAIAD delivers low latency, high throughput and scalable distributed data processing. It is well-suited for real-time analysis, machine learning and other applications needing fast processing of big data streams and batches.
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