AWS Kinesis Data Streams vs Google Cloud Pub/Sub

Developers should use AWS Kinesis Data Streams when building applications that require real-time data ingestion and processing, such as monitoring systems, IoT data streams, or clickstream analytics meets developers should use google cloud pub/sub when building event-driven architectures, microservices, or streaming data pipelines that require high throughput and global scalability. Here's our take.

AWS Kinesis Data Streams

Nice Pick

Developers should use AWS Kinesis Data Streams when building applications that require real-time data ingestion and processing, such as monitoring systems, IoT data streams, or clickstream analytics

Pros

• It is particularly valuable in scenarios where low-latency data processing is critical, as it enables immediate insights and actions based on incoming data
• Related to: aws-lambda, apache-kafka

Cons

• Specific tradeoffs depend on your use case

Google Cloud Pub/Sub

Developers should use Google Cloud Pub/Sub when building event-driven architectures, microservices, or streaming data pipelines that require high throughput and global scalability

Pros

• It is ideal for use cases such as real-time analytics, IoT data ingestion, log aggregation, and decoupling components in cloud-native applications, as it ensures message durability, at-least-once delivery, and automatic scaling without infrastructure management overhead
• Related to: google-cloud-platform, event-driven-architecture

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use AWS Kinesis Data Streams if: You want it is particularly valuable in scenarios where low-latency data processing is critical, as it enables immediate insights and actions based on incoming data and can live with specific tradeoffs depend on your use case.

Use Google Cloud Pub/Sub if: You prioritize it is ideal for use cases such as real-time analytics, iot data ingestion, log aggregation, and decoupling components in cloud-native applications, as it ensures message durability, at-least-once delivery, and automatic scaling without infrastructure management overhead over what AWS Kinesis Data Streams offers.

The Bottom Line

AWS Kinesis Data Streams wins

Developers should use AWS Kinesis Data Streams when building applications that require real-time data ingestion and processing, such as monitoring systems, IoT data streams, or clickstream analytics