Apache Storm Alternatives

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

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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

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

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

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

Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

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

The Apache HDFS is a distributed file system that makes it possible to scale a single Apache Hadoop cluster to hundreds (and even thousands) of nodes.

Leo enables teams to innovate faster by providing visibility and control for data streams.

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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

A fully managed data warehouse for large-scale data analytics.