Event Stream Processing (ESP) Platforms
- 01. Amazon Kinesis Data Analytics - Gain actionable insights from streaming data with serverless, fully managed Apache Flink
- 02. Confluent Platform - A Complete, enterprise-grade distribution of Apache Kafka to react to your data in real time
- 03. Apache Storm is a free and open source distributed realtime computation system.
- 04. Google Cloud Dataflow - Unified stream and batch data processing that's serverless, fast, and cost-effective.
- 05. Cribl Stream - Get the right data to the right destinations, in the right formats, at the right time
- 06. Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
- 07. Red Hat Decision Manager is a platform for developing containerized microservices and applications that can quickly automate underlying business decisions as market conditions change.
- 08. Azure Stream Analytics - Serverless real-time analytics, from the cloud to the edge
- 09. DataFlow for the Public Cloud - Connect to any data source anywhere, process, and deliver to any destination
- 10. Amazon Kinesis Data Streams - Easily stream data at any scale
- 11. StreamSets DataOps Platform - Power your modern analytics and digital transformation with continuous data
- 12. EVAM enables enterprises to engage their customers using their data across all channels, including legacy ones, in real-time.
- 13. Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams.
- 14. StreamLab is a visual platform for interactively exploring machine data streams and building real-time streaming apps without having to write any code.
- 15. TIBCO BusinessEvents - Event Processing - Influence the Outcome of Your Critical Business Moments