What NoSQL databases are useful for data scientists?

Depending on the type of information and data that is collected, there are many NoSQL databases that can be useful for data scientists. When working with websites or pages, NoSQL databases like MongoDB are essential to managing and storing document-based data.

What are the different types of NoSQL databases?

Due to the numerous data types and formats available, NoSQL databases are also categorized through multiple types, with most NoSQL databases falling into the categories of document databases, column databases, graph databases, and key-value stores. Each NoSQL database reflects a specific database structure that corresponds to a unique data type.

Is NoSQL better than SQL?

For structured, relational data with a need for complex querying and strong consistency, SQL databases are the way to go. On the other hand, if you need flexibility, scalability, and the ability to handle large, distributed, or unstructured datasets, NoSQL databases will better serve your needs.

Which NoSQL database should I use?

If your application needs to process thousands of requests per second, NoSQL databases like Cassandra or Redis are a better fit. Example: Real-time analytics systems, where large amounts of data need to be ingested and processed with low latency.

Should I use a RDBMS or a NoSQL database?

If you espect the SQL query to be really consistent then you should consider using a RDBMS. If it's not a pre-requisite, then you could use a NoSQL database. That's why most of the time, the best answer it to use both, taking advantages of both.

🏅 Best Non Relational Database

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Most Used Nosql Database

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Which Database You Should Choose For Web Development

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Best Free Relational Database

PostgreSQL - Wikipedia

PostgreSQL (/ ˌpoʊstɡrɛskjuˈɛl / POHST-gres-kew-EL) [11][12] also known as Postgres, is a free and open-source relational database management system (RDBMS) emphasizing extensibility and SQL compliance.

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· About What is PostgreSQL? PostgreSQL is a powerful, open source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads.

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FAQS