Conclusion: The Road to Building Datastores

Having explored different types of datastores like SQL, NoSQL, PostgreSQL, Redis, MongoDB, and ElasticSearch, you are now at the brink of a fascinating journey. The foundation is laid for you to understand and build datastores from scratch. Regardless of the domain you are focusing on such as software development, AI, or finance, proficiency in handling datastores can give you an edge in optimizing data management and understanding the complexity behind these powerful tools.

Whether you aim to build a full-text search feature for an e-commerce application using ElasticSearch, or design a stock price tracking application using time series database like InfluxDB, understanding the principles and mechanisms of these datastores is crucial. Remember, these databases are not just 'black boxes', but are understandable and tangible systems which you can master.

Let's start embracing the adventure of building datastores from scratch!

1print('The road to building datastores begins!')

This is the beginning of an exciting journey. Jump in and start coding your datastores today. For further reading and understanding, refer to the respective documentations of these datastores and experiment with their interfaces. Happy coding!

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if __name__ == '__main__':

    print('The road to building datastores begins!')