SparkAI (Apache Spark with AI capabilities) is a powerful framework, and it combines the distributed computing capabilities of Apache Spark with advanced artificial intelligence (AI) and machine learning (ML) libraries.
With the AI and ML libraries available in SparkAI, we can perform advanced analytics tasks such as predictive modelling, classification, clustering, and recommendation systems.
SparkAI provides tools for building end-to-end data pipelines, from data ingestion to transformation, modelling, and deployment. Review collected by and hosted on G2.com.
SparkAI can be complex to set up and configure, especially for users new to Apache Spark and AI technologies. Running SparkAI and processing large-scale data requires significant computing resources.
While SparkAI supports real-time processing, it may not have the same advanced streaming analytics capabilities as specialised streaming frameworks like Apache Flink or Apache Kafka Streams. Review collected by and hosted on G2.com.
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