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What is the purpose of Spring Data and its level of Abstraction?

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While trying to understand the purpose of 'Spring Data' i came across this article and tried few examples with Gemfire/ Redis repositories and their corresponding Spring-Data components. Could someone help me with the following questions.

Scenario: When GemFire was my datastore, i had to use methods create, get and remove on the GemFireTemplate to perform the CRUD operations. When Redis was my datastore, I had to use methods .opsForHash().put , .opsForHash().get and .opsForHash().delete on the RedisTemplate to perform the same CRUD operations.


Isn't Spring-Data supposed to provide a level of abstraction to the underlying data store ? If i am expected to know the respective CRUD methods and have different APIs based on the underlying data store, what kind of abstraction does Spring-Data components bring in ? Can't I directly use a Jedis or Java client for Gemfire to perform these datatstore specific CRUD operations ?

This Article seems to explain that but, looks like i need some help in understanding it.

>> there is no general API to all the persistence stores. The differences are too fundamental. But the Spring Data project does provide a common programming model to access your data <<
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To my understanding, Spring Data does give you a level of abstraction, and faster creation of repositories.

However, if you do customization or native commands (e.g. queries) in your repositories, then those are not portable to other database systems.

If you try to stay within those common supplied methods etc., then it will be transparent when changing database systems.
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