Best Alternatives for Spark Streaming proposed by Free AI models

Best Alternatives for Spark Streaming proposed by Free AI models

Apache Flink is a powerful and versatile open-source stream processing framework with powerful event-time processing...

Price: Free

Pros:

Cons:

Developer Tools Big Data Web Frameworks Stream Processing

Amazon Kinesis is a platform for streaming data on AWS, offering capabilities to collect, process,...

Price: Pricing varies based on usage

Pros:

Cons:

Analytics Big Data Video Streaming Data Management Big Data Analytics Stream Processing

Apache Flink is an open-source stream processing framework with powerful event-time processing and state handling...

Price: Free

Pros:

Cons:

DevOps Tools BPM Office & Productivity DevOps Automation

Faust is a Python stream processing library, designed for building high-performance streaming applications.

Price: Free

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Cons:

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Kafka Streams is a client library for building applications and microservices that process and analyze...

Price: Free

Pros:

  • Tight integration with Kafka
  • Scalable
  • Fault-tolerant

Cons:

  • Limited to Kafka ecosystem
  • Less feature-rich compared to Flink

Apache Kafka Streams allows for building scalable, fault-tolerant, and real-time stream processing applications.

Price: Open-source

Pros:

  • Integration with Kafka
  • Scalable

Cons:

  • Tightly coupled with Kafka
  • Limited windowing support