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Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.Pricing:
- Open Source
Apache SparkⓇ is a multi-language framework designed for executing data engineering, data science, and machine learning computation on single-node machines or clusters.
#Databases #Big Data #Big Data Analytics 56 social mentions
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Apache Kafka: A Distributed Streaming Platform.
The database ksqlDB is for building stream processing applications on top of Apache Kafka. It is based on the Kafka Streams API and licensed under the Confluent Community License Agreement. It is also a distributed, scalable, real-time stream processing framework that provides a lightweight SQL syntax.
#Stream Processing #Analytics #Workflow Automation 14 social mentions
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Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.Pricing:
- Open Source
Apache FlinkⓇ is a stream and batch processing framework designed for data analytics, data pipelines, ETL, and event-driven applications. Like Spark, Flink helps process large-scale data streams and delivers real-time analytical insights.
#Stream Processing #Big Data #Developer Tools 28 social mentions
Discuss: Spark vs Flink vs ksqlDB for stream processing
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