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Apache Dubbo vs Cloudflow: What are the differences?
Developers describe Apache Dubbo as "A high performance Java RPC framework". It is a high-performance, light weight, java based RPC framework. Dubbo offers three key functionalities, which include interface based remote call, fault tolerance & load balancing, and automatic service registration & discovery. On the other hand, Cloudflow is detailed as "*Streaming Data Pipeline on Kubernetes *". It enables you to quickly develop, orchestrate, and operate distributed streaming applications on Kubernetes. With Cloudflow, streaming applications are comprised of small composable components wired together with schema-based contracts. It can dramatically accelerate streaming application development—reducing the time required to create, package, and deploy—from weeks to hours.
Apache Dubbo belongs to "Remote Procedure Call (RPC)" category of the tech stack, while Cloudflow can be primarily classified under "Big Data Tools".
Some of the features offered by Apache Dubbo are:
- Transparent interface based RPC
- Intelligent load balancing
- Automatic service registration and discovery
On the other hand, Cloudflow provides the following key features:
- Apache Spark, Apache Flink, and Akka Streams
- Focus only on business logic, leave the boilerplate to us
- We provide all the tooling for going from business logic to a deployable Docker image
Apache Dubbo and Cloudflow are both open source tools. It seems that Apache Dubbo with 31.9K GitHub stars and 20.8K forks on GitHub has more adoption than Cloudflow with 172 GitHub stars and 50 GitHub forks.
