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RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received. | Cloud Memorystore for Redis provides a fully managed in-memory data store service built on scalable, more secure, and highly available infrastructure managed by Google. Use Cloud Memorystore to build application caches that provides sub-millisecond data access. Cloud Memorystore is compatible with the Redis protocol, allowing easy migration with zero code changes. |
Robust messaging for applications;Easy to use;Runs on all major operating systems;Supports a huge number of developer platforms;Open source and commercially supported | Less DevOps, More Code - Spend more time writing code that takes advantage of the power of Redis and less time managing Redis. Cloud Memorystore automates complex tasks like enabling high availability, failover, patching, and monitoring so that you can spend more time coding.; Scale as Needed - With Cloud Memorystore for Redis, you can easily achieve the sub-millisecond latency and throughput your applications need. Start with the lowest tier and smallest size, and then grow your Redis instance effortlessly with minimal impact to application availability. Cloud Memorystore can support instances up to 300 GB and network throughput of 12 Gbps.; Highly Available - High availability instances are replicated across two zones and provide a 99.9% availability SLA (when generally available). Instances are monitored constantly, and with automatic failover, applications experience minimal disruption.; Google Grade Security - Cloud Memorystore instances are isolated and protected from the internet using private IPs and are further secured using IAM role-based access control.; Easy Lift and Shift - Cloud Memorystore for Redis is Redis protocol compatible. You can lift and shift your applications from open source Redis to Cloud Memorystore without any code changes. There is no need to learn new tools since all existing tools and client libraries just work. |
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GitHub Stars 13.2K | GitHub Stars - |
GitHub Forks 4.0K | GitHub Forks - |
Stacks 21.8K | Stacks 159 |
Followers 18.9K | Followers 148 |
Votes 558 | Votes 0 |
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Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.