Memphis{dev} is an open-source real-time data processing platform
that provides end-to-end support for in-app streaming use cases using Memphis distributed message broker.
Memphis’ platform requires zero ops, enables rapid development, extreme cost reduction,
eliminates coding barriers, and saves a great amount of dev time for data-oriented developers and data engineers.

 Why

Working with data streaming is HARD.

As a developer, you need to build a dedicated pipeline for each data source,
work with schemas, formats, and serializations, analyze each source individually,
enrich the data with other sources, constantly change APIs, and scale for better performance.
Besides that, it constantly crashes and requires adaptation to different rate limits.
It takes time and resources that you probably don’t have.

Message broker acts as the middleman and supports streaming architecture,
but then you encounter Apache Kafka and its documentation and run back to the monolith and batch jobs.
Give memphis{dev} a spin before.

 Use-cases

• Async task management
• Real-time streaming pipelines
• Data ingestion
• Cloud Messaging
  • Services (microservices, service mesh)
  • Event/Data Streaming (observability, analytics, ML/AI)
• Queuing
• N:N communication patterns

 Features

•  Fully optimized message broker in under 3 minutes
•  Easy-to-use UI, CLI, and SDKs
•  Data-level observability
•  Dead-Letter Queue with automatic message retransmit
•  Schemaverse – Embedded schema management for produced data (Protobuf/JSON/GraphQL/Avro)
•  SDKs: Node.JS, Go, Python, Typescript, NestJS
•  Runs on your Docker or Kubernetes
•  Community driven

 Getting Started

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