Akka.Streams.Kafka
Reactive-kafka
| Akka.Streams.Kafka | Reactive-kafka | |
|---|---|---|
| 1 | - | |
| 67 | 1,418 | |
| - | 0.0% | |
| 6.3 | 8.2 | |
| 2 days ago | 7 days ago | |
| C# | Scala | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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Akka.Streams.Kafka
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Microservices: DDD, CQRS, ES... and gRPC
I've used a lot of the akka stuff (in Scala, not .NET) and actually would recommend the higher abstracted libraries. For example Akka.Streams.Kafka would be my go-to for setting up a kafka producer and consumer model for an event driven architecture. A framework that supports message queues (masstransit, rebus) would also be helpful in certain cases, as queues and transaction logs have a tiny bit different use cases.
Reactive-kafka
We haven't tracked posts mentioning Reactive-kafka yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
CAP - Distributed transaction solution in micro-service base on eventually consistency, also an eventbus with Outbox pattern
Apache Kafka - Mirror of Apache Kafka
Confluent's .NET Client for Apache KafkaTM - Confluent's Apache Kafka .NET client
Scio - A Scala API for Apache Beam and Google Cloud Dataflow.
craftsman - A .NET scaffolding tool to help you stop worrying about boilerplate and focus on your business logic 🚀
Apache Flink - Apache Flink
Pulsar4s - Idiomatic, typesafe, and reactive Scala client for Apache Pulsar
Scrunch - Mirror of Apache Crunch (Incubating)
Summingbird - Streaming MapReduce with Scalding and Storm
spark-deployer - Deploy Spark cluster in an easy way.
Clickhouse-scala-client - Clickhouse Scala Client with Reactive Streams support
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.