Based on our record, Apache Apex seems to be more popular. It has been mentiond 1 time 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.
Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 2 years ago
alooma - alooma brings together a reliable data pipeline, an easy data transformation interface, and a powerful stream processor.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
logstash - logstash is a tool for managing events and logs.
Apache Storm - Apache Storm is a free and open source distributed realtime computation system.
Confluent - Confluent offers a real-time data platform built around Apache Kafka.