Categories: API DevelopmentSOA

One Datastore per MicroService?

This article represents details on whether to use single datastore per microservice. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos.

From what I researched, the preferred architecture for microservices is polyglot persistence pattern. (http://martinfowler.com/bliki/PolyglotPersistence.html ). You could further read about this on following pages:

As per the best practices, each micro-service should have one database private to it. There are different ways to achieve the above objective. Some of them are listed below:

Same database system for different services. In this following could be done:
- Different set of tables specific to microservice in the same database
- Different database schema but in the same database server
- Different database server
Each service can use different database systems. For example, RDBMS, MongoDB etc.

Following diagram represents one datastore per microservice. (courtesy: MartinFowler page on MSA)

Following is another page representing MSA best practices from NetFlix. It highlights creating separate datastore for each microservice.

https://www.nginx.com/blog/microservices-at-netflix-architectural-best-practices/

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Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

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Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.