Top 20 products relevant to Data Management and Stream Processing

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

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

Open Source

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

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

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

Learn about Azure Event Hubs, a managed service that can ingest and process massive data streams from websites, apps, or devices.

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

Spring Cloud Data Flow is a platform capable of stream and batch data pipelines having the tools to create delicate topologies.

Any Software Any Language Any Style.

In the emerging digital world, billions of people, systems, and devices will interact in real-time, suggesting new and disruptive competitive advantages.

OpenZoo is an open-source, distributed, stream and batch processing framework.

Event Stream Processing.

dispy is a Python framework for parallel execution of computations by distributing them across...

Analyze, continuously query, and act on IoT and other streaming data at lightning fast speeds. Take real-time operations and analytics to the next level with...

IBM Streaming Analytics enables you to analyze a broad range of streaming text, video, audio, geospatial and sensor data.

Conviva has built and deployed a unique and new intelligent video measurement and analytics architecture for the next generation of TV.

The StreamSets Data Collector (SDC) is used to build, test and execute dataflow pipelines for data lake and multi-cloud data movement plus cybersecurity, IoT and customer 360 applications.

The Age of Analytics has begun. When you need answers NOW, IBM Streams is your solution.

Building and managing Kafka and Flink-based streaming data pipelines using SQL has never been this easy and powerful.