Top 12 Apache Storm Alternatives

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Heron is a realtime, distributed, fault-tolerant stream processing engine.

logstash is a tool for managing events and logs.

Confluent offers a real-time data platform built around Apache Kafka.

alooma brings together a reliable data pipeline, an easy data transformation interface, and a powerful stream processor.

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

SQLstream, Big Data stream processing software, powering smart services for the Internet of Things from streaming machine and sensor data.

Streamdata.io provides a proxy-as-a-service that turns any request-response REST APIs into an event-driven streaming API.

Azure Stream Analytics offers real-time stream processing in the cloud.

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.