What is Apache Dubbo?
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.
Apache Dubbo is a tool in the Remote Procedure Call (RPC) category of a tech stack.
Apache Dubbo is an open source tool with 36.5K GitHub stars and 24.3K GitHub forks. Here’s a link to Apache Dubbo's open source repository on GitHub
Who uses Apache Dubbo?
Companies
Developers
18 developers on StackShare have stated that they use Apache Dubbo.
Apache Dubbo Integrations
Java, IntelliJ IDEA, Eclipse, Spring Framework, and Apache APISIX are some of the popular tools that integrate with Apache Dubbo. Here's a list of all 5 tools that integrate with Apache Dubbo.
Apache Dubbo's Features
- Transparent interface based RPC
- Intelligent load balancing
- Automatic service registration and discovery
- High extensibility
Apache Dubbo Alternatives & Comparisons
What are some alternatives to Apache Dubbo?
Spring Cloud
It provides tools for developers to quickly build some of the common patterns in distributed systems.
gRPC
gRPC is a modern open source high performance RPC framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking...
Apache Thrift
The Apache Thrift software framework, for scalable cross-language services development, combines a software stack with a code generation engine to build services that work efficiently and seamlessly between C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, JavaScript, Node.js, Smalltalk, OCaml and Delphi and other languages.
Node.js
Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.
Kubernetes
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
