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Based on our record, Apache Kafka seems to be a lot more popular than Google Cloud Memorystore. While we know about 120 links to Apache Kafka, we've tracked only 6 mentions of Google Cloud Memorystore. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I imagine that would work. I'd probably default to a redis https://cloud.google.com/memorystore because it feels more boring to me. Source: 6 months ago
I suggest you to use realtime database. It is cheaper than Memorystore (if you use in Google Cloud) and realtime database has a free tier. Source: 11 months ago
Memorystore is Google-hosted Redis/Memcached. You could set up a virtual machine and install Redis/Memcached yourself, but Memorystore eliminates that extra work and provides you with a well-working cache out of the box. Source: about 1 year ago
Memorystore is the managed cache service on GCP. https://cloud.google.com/memorystore. Source: over 1 year ago
Memorystore, the GCP managed service for cache, is not a service by itself, you need to choice the backend behind with Redis or memcached. These two kinds of configurations for Memorystore do not have the same model pricing. Memorystore for memcached is mostly based on Compute Engine model with pricing based on the number of nodes and vCPU + RAM per node. Even if the model pricing is nearly the same, the... - Source: dev.to / almost 2 years ago
In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / about 2 months ago
Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 3 months ago
Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 3 months ago
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 4 months ago
RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput. - Source: dev.to / 4 months ago
Google Cloud Pub/Sub - Cloud Pub/Sub is a flexible, reliable, real-time messaging service for independent applications to publish & subscribe to asynchronous events.
RabbitMQ - RabbitMQ is an open source message broker software.
Google Cloud Endpoints - Google Cloud Endpoints provides the tools to develop, deploy, protect and monitor your APIs.
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale
Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.