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Message Queues

Simple and high performing, managed queue service at scale

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Macrometa offers fully managed message queuing for scalable, serverless apps and distributed solutions. Components are decoupled to allow them to message each other via pub/sub and queues. Macrometa eliminates the cost and complexity typically associated with conventional messaging oriented middleware services. Message queues can connect and store messages between functions, EdgeWorkers, microservices, and distributed serverless apps.

Macrometa can send, store, and receive messages between services and system components at any volume, all without ever losing messages or with external dependencies. There are two message queue types within Macrometa - (1) Standard queues for maximum throughput, best-effort ordering, and at-least-once delivery or (2) FIFO queues that guarantee that messages are processed exactly once, in the exact order that they are sent.


Guaranteed message

With high throughput and at least once delivery or at least once semantics with strict ordering


Auto scaling

Scale from zero to millions of stored messages in milliseconds


Geo regulatory compliance

Keep sensitive data in queues pinned to specific regions or countries



Use server side encryption



Reliable and fault tolerant

Never lose messages as all queues are continuously replicated to provide seamless high availability. Decouple message buffering for high velocity and seasonal workloads.


100% fully managed and serverless

Automatically scale with elasticity whether within a specific region to handle a local hotspot of demand or across multiple regions.

Applications & Solutions


High throughput event and message buffering

For high throughput, to maximize the rate at which data moves.

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Experience the Power of Macrometa

Schedule a personalized demo with one of our expert solutions architects.

  • Maximize the value of your existing application investments
  • Designed for complex and distributed use cases
  • Achieve up to 100x faster performance than AWS or GCP
  • Seamlessly scale to serve billions of users in real-time
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