Apache Kafka is a distributed streaming platform that can handle real-time data feeds. It is highly scalable and fault-tolerant.
Pros
- High throughput
- Fault-tolerant
Cons
- Complex setup
- Steep learning curve
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Amazon Kinesis is a platform for streaming data on AWS, offering capabilities to collect, process, and analyze real-time, streaming data.
Apache Kafka is a distributed streaming platform that can handle real-time data feeds. It is highly scalable and fault-tolerant.
Google Cloud Pub/Sub is a messaging service for event-driven systems.
Pricing based on usage
Azure Stream Analytics is a real-time data streaming and analytics service offered by Microsoft Azure.
Pricing varies based on usage
Google Cloud Dataflow is a fully managed service for stream and batch processing of data at high scale with low latency.
Pricing is based on usage and resources consumed.
Apache Spark is a unified analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning, and graph processing.
Open-source
Apache Flink is a powerful and versatile open-source stream processing framework with powerful event-time processing capabilities.
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