Top 19 products relevant to Big Data, Stream Processing, and Data Management

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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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...

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.

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

Norikra is an open source server software that provides stream processing with SQL.

Luminoso Compass provides tools to classify, label, predict, and act on streaming text data.

Condense is a real-time data streaming platform powered by managed Kafka. With BYOC deployment, prebuilt connectors, and custom workflows, it helps businesses build, scale, and manage applications efficiently while handling massive data securely.

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