in this post, I am going to discuss the popular No-SQL databases. I’ll discuss some most popular NoSQL databases with features. The NoSQL database helps to store huge amounts of data easily.
NoSQL databases (sometimes known as “not only SQL”) are nontabular databases that store data differently from relational tables. NoSQL databases are classified according to their data model. Document, key-value, wide-column, and graph are the most common types. They have adaptable schemas and can handle big amounts of data and high user loads with ease.
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There are following types of NoSQL databases:
The most popular document-based NoSQL database is MongoDB. It’s best suited to scenarios in which you’ll be integrating hundreds of distinct data sources. MongoDB can be used even when reading and writing activities are expected. You can store clickstream data in the database and use it for behavioral analysis.
Apache Cassandra is an open-source NoSQL distributed database trusted by thousands of companies for scalability and high availability without compromising performance.
Facebook was the first to develop this database solution. Cassandra is one of the most scalable databases, capable of handling petabytes of data and thousands of simultaneous requests. It’s appropriate for use cases that require more writing than reading operations.
If your solution includes a full-text search, this NoSQL database is required. Over 3000 firms use it, including Udemy, Medium, and StackOverflow. Chatbots, which can answer the majority of questions, is one of the most common use-cases.
This is a Fast, flexible NoSQL database service for single-digit millisecond performance at any scale. The DynamoDB is the best choice if your solutions demand a database that can manage a high number of simple key-value queries.
https://www.mongodb.com/nosql-explained
https://cassandra.apache.org/_/index.html
https://www.elastic.co/
https://aws.amazon.com/dynamodb/
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