So sánh pub sub of google and amazone

The publish-subscribe (pub/sub) model enables event-driven architecture, which is required in several modern applications. You can use events to trigger and communicate between decoupled services. An event is a change in state, or an update, like an item being placed in a shopping cart.

Pub/sub messaging provides significant advantages to developers who build applications that rely on real-time events. We outline some of the advantages below.

Eliminate polling

Message topics allow instantaneous, push-based delivery, eliminating the need for message consumers to periodically check, or poll, for new information and updates. This promotes faster response time and reduces the delivery latency that can be particularly problematic in systems where delays cannot be tolerated.

Dynamic targeting

The pub/sub pattern makes the discovery of services easier, more natural, and less error-prone. Instead of maintaining a roster of peers so an application can send messages, a publisher will simply post messages to a topic. Then, any interested party will subscribe its endpoint to the topic and start receiving these messages. Multiple subscribers can change, upgrade, or disappear, and the system adjusts dynamically.

Decouple and scale independently

Pub/sub makes the software more flexible. Publishers and subscribers are decoupled and work independently from each other, which allows you to develop and scale them independently. You can decide to handle orders one way this month and then another the following month. Adding or changing functionality won’t send ripple effects across the system, because pub/sub allows you to flex how everything works together.

Simplify communication

Code for communications and integration is some of the hardest code to write. The publish-subscribe model reduces complexity by removing all the point-to-point connections with a single connection to a message topic. The topic will manage subscriptions to decide what messages should be delivered to which endpoints. Fewer callbacks result in looser coupling, plus code that is easier to maintain and extend.

Durability

Pub/sub messaging services often provide very high durability, and at-least-once delivery, by storing copies of the same message on multiple servers.

Security

Message topics authenticate applications that try to publish content and allow you to use encrypted endpoints to secure messages in transit over the network.

Many organizations choosing a data ingestion platform are curious about the benefits of Google Pub Sub vs. Kinesis (Google Cloud Pub/Sub vs. Amazon Kinesis). While both can be used to ingest data into cloud environments, they provide different service models for accomplishing this objective.

The first point of evaluation when considering Google Pub Sub vs. Kinesis is the ingestion model. Amazon Kinesis uses a streaming model, while its Google counterpart uses a publish and subscribe messaging model. Amazon Kinesis requires a certain amount of provisioning of “shards”, which must be scaled up when organizations need to increase bandwidth and throughput. The Google Pub Sub messaging approach, on the other hand, eliminates the need for provisioning.

When evaluating Google Pub Sub vs. Kinesis for administrative burden, Kinesis requires users to manually monitor usage and scale as needed, while Cloud Pub/Sub administrators need not monitor or scale anything manually.

When it comes to costs for Google Pub Sub vs. Kinesis, these two models provide additional distinctions. Cloud Pub/Sub is priced by data volume and users pay only for the resources they consume, while Amazon Kinesis is priced by shard hour, data volume and data retention period, and users pay for the resources they provision even if they are unused. Consequently, when comparing Google Pub Sub vs. Kinesis for costs, the Google platform tends to be less expensive.

Google Pub Sub vs. Kinesis: the difficulty of real-time data ingestion

While both platforms have their advantages and disadvantages when comparing Google Pub Sub vs. Kinesis, both models provide challenges for IT teams when managing real-time data ingestion. Real-time streaming data is critical to Big Data analytics and data lake initiatives, but both Google Pub Sub and Amazon Kinesis can cause performance in source systems to degrade when ingesting real-time data feeds. These platforms also require a good bit of custom development, which can easily create excessive burden for IT teams when the number of sources reaches into the hundreds or thousands.

Google Pub Sub vs. Kinesis: accelerating data ingestion with Qlik Replicate®

Qlik Replicate is a universal data replication platform that automates and accelerates data ingestion across all major streaming services, including Google Cloud Pub/Sub, Amazon Kinesis, Apache Kafka, Confluent, Azure Event Hub and MapR-ES. Attunity Replicate enables organizations to: