Spark vs Flink vs ksqlDB for stream processing

• redpanda

  70 8,868 10.0 C++

  Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!

  

Follow the Redpanda Blog for future tutorials and articles about integration use-cases of Redpanda and other cool data technologies, and join our Slack community to share what you plan to build with Redpanda. To contribute to our GitHub repo, submit an issue here. For specific feature and usability questions, our documentation can help.

• Apache Spark

  101 38,414 10.0 Scala

  Apache Spark - A unified analytics engine for large-scale data processing

  

Apache SparkⓇ is a multi-language framework designed for executing data engineering, data science, and machine learning computation on single-node machines or clusters.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• flink-statefun

  18 495 3.2 Java

  Apache Flink Stateful Functions

  

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.

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