All Platforms
Gain actionable insights from streaming data with a serverless, fully managed Apache Flink service. Formerly known as Amazon Kinesis Data Analytics.
A complete, enterprise-grade distribution of Apache Kafka. Enables organisations to react to their data in real time with producers, consumers, connectors, and stream processing.
A free and open-source distributed real-time computation system. Processes unbounded streams of data with fault-tolerance and guaranteed message processing.
Unified stream and batch data processing that's serverless, fast, and cost-effective. Built on Apache Beam, it autoscales to process any volume of data.
Get the right data to the right destinations in the right formats at the right time. Routes, reduces, enriches, and replays streaming observability data across any tool.
A multi-language engine for data engineering, data science, and machine learning on single-node machines or clusters. Includes Structured Streaming for real-time workloads.
A platform for developing containerised microservices and applications that automate underlying business decisions as market conditions change — combining CEP with rules-based processing.
Serverless real-time analytics from the cloud to the edge. Easily set up real-time analytics computations on streaming data with near-zero latency and no infrastructure to manage.
Connect to any data source anywhere, process in-flight, and deliver to any destination. A cloud-native universal data distribution service built on Apache NiFi.
Easily stream data at any scale on AWS. Capture gigabytes of data per second from hundreds of thousands of sources for real-time analytics and machine learning.
Power modern analytics and digital transformation with continuous data pipelines. Build and run smart data pipelines across hybrid and multi-cloud architectures — now part of IBM.
Enables enterprises to engage their customers using their data across all channels — including legacy ones — in real time. Used across 35+ countries and 600 million+ end-users daily.
A framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Industry-standard for exactly-once semantics at massive scale.
A visual platform for interactively exploring machine data streams and building real-time streaming apps without writing any code. Uses standard SQL for stream queries.
Influence the outcome of your critical business moments with real-time event processing. A pluggable, enterprise-ready, cloud-native platform built for mission-critical streaming applications.