
Kafka Streams
Apache Flink
Apache Kafka
Apache Storm
Apache Spark
Apache NiFi
Confluent
KSQL
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Based on our record, Kafka Streams seems to be more popular. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Kafka Streams is a lightweight Java library that runs inside your application, processing events as they flow through Kafka topics. More importantly, it allows us to maintain state locally. - Source: dev.to / 4 months ago
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / over 2 years ago
Weโre not discussing the technical details behind the deduplication process. It could be Apache Flink, Apache Spark, or Kafka Streams. Anyway, itโs out of the scope of this article. - Source: dev.to / over 3 years ago
In pub-sub systems, you cannot have multiple services to consume the same data because the messages are deleted after being consumed by one consumer. Whereas in Kafka, you can have multiple services to consume. This opens the door to a lot of opportunities such as Kafka streams, Kafka connect. Weโll discuss these at the end of the series. - Source: dev.to / over 3 years ago
Internally, Streamiz use the .Net client for Apache Kafka released by Confluent and try to provide the same features than Kafka Streams. There is gap between these two library, but the trend is decreasing after each release. - Source: dev.to / over 3 years ago
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Apache Storm - Apache Storm is a free and open source distributed realtime computation system.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Apache NiFi - An easy to use, powerful, and reliable system to process and distribute data.
Confluent - Confluent offers a real-time data platform built around Apache Kafka.