Java and dotnet Interop

This article is about Java-dotnet Interop. We’ll explore what options we have for different scenario where interop is required.

First, when we say “Java-dotnet Interop”, there are two possibilities:

1. Java -to- dotnet communications

2. dotnet -to-Java communications

Secondly, we assume, if you’re developing in Java, you’d run it on Linux (Or simply put, if your application written in Java, why would it run on Windows?)

Given above, what are our options?


1. Socket

Anand Manikiam has written a piece on this subject,

The pros for this approach are:

a. No middle-ware

b. Fast

The cons are:

a. Resiliency

b. Casting complex object/classes from byte[]?

c. Message security? Encryption? Anti-tampering? DOS? If not implemented this be Intranet application only.


2. Web Services

I’ve written an article of consuming Java-ws from dotnet:

You will also find plenty of discussions on consuming WCF-from-Java:

The pros for this approach are:

a. No middle-ware

b. Higher level of compatibility with code coded in more languages (C++/SOAP, Python, R …etc)

The cons are:

a. Less fast than socket

b. Resiliency

c. Message security? Encryption? Anti-tampering? DOS? If not implemented this be Intranet application only.

d. Slower than Socket! (Web Services overhead)


3. Message Bus

RabbitMQ ( is all about Messaging. If you’re developing real time applications, RabbitMQ offers high performance battle tested communication platforms and it as an API for just about any language on the planet. C++, dotnet, Java, Perl, Python…

Pros are:

a. Resiliency – producers and consumers can die and crash at any moment.

b. Performance


a. You need install Middleware, and if you’re a software vendor, you’d need bundle installation of RabbitMQ with your application


4. Commercial Tools

Depending on what you’re building, if what you’re trying to build is a computing grid, then there are commercial tools which allows you to run jobs on basically any platform, coded in any language. for instances supports:

a. Scheduling, conditional job chaining and Workload Automation

b. Grid Computing – nodes/slaves on any platform/language

c. Automatic persistence of run history, parameters, input and results

(Even configure cell level validations by “IsNumber”, or use of user specified Regular Expression)

d. GUI for you to track run parameters, input and results

However, such tools inevitably introduces execution overhead. So depending on whether you’re …

a. Executing high number of light weight jobs –> Probably should not use any tool besides a Message bus such as RabbitMQ

b. Executing medium number of medium weight jobs –> Best application of Workload Automation Data Platforms such as

c. Executing low number of heavy weight jobs –> Best custom coded, persistence via BCP (There’s no other way for million rows or #bigdata processing)

But this would not be a viable option for instance if you’re building a hotel booking system with web tier built in ASP.NET and backend in Java with Java-ws

Happy Coding!




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