Compare - Beam VS Fast Data
Here’s the difference between Beam and Fast Data. The comparison is based on pricing, deployment, business model, and other important factors.
About Beam
Apache Beam is an open source, unified model for defining both batch and streaming data-parallel processing pipelines. Using one of the open source Beam SDKs, you build a program that defines the pipeline. The pipeline is then executed by one of Beam’s supported distributed processing back-ends, which include Apache Flink, Apache Spark, and Google Cloud Dataflow.
About Fast Data
FASTDATA is a big data analytics platform that leverages GPUs to enable real-time stream data processing. It provides API access to developers to enable stream processing. The firm claims that when its platform is coupled with parallel GPU servers, data processing is 5X faster. The solution finds applications for streaming data processing across areas such as finance, fraud, security, AI, ML, VR/AR, and IoT.
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