TYPES OF NO SQL DATABASES
                     Types of NOSQL 
Databases
NO SQL DATABASES
• NoSQL databases, also known as "Not Only SQL" databases, are a 
diverse group of database management systems that provide 
alternatives to traditional relational databases (SQL databases). 
• These databases are designed to handle large volumes of 
unstructured or semi-structured data and can be more suitable for 
certain types of applications and use cases. 
Main types of NoSQL databases
• Document Stores
• Key value Stores
• Column family stores
• Graph Databases
• Time series Databases
• Object stores
• NewSQL Databases (Blurring the Line):
Document Stores
• Examples: MongoDB, Couchbase, CouchDB
• Store data in JSON-like documents, which can vary in structure within 
the same collection.
• Suitable for applications with semi-structured or hierarchical data.
Key value Stores
• Examples: Redis, Amazon DynamoDB, Riak
• Store data as key-value pairs, where the key is a unique identifier for 
the data.
• Efficient for high-speed data retrieval by key.
Column-Family Stores (Wide-Column Stores)
• Examples: Apache Cassandra, HBase
• Store data in column families, which are column groups associated 
with a row key.
• Well-suited for high-write, low-latency applications and analytical 
workloads.
Graph Databases
• Examples: Neo4j, Amazon Neptune, ArangoDB
• Designed for managing and querying data represented as graphs, 
consisting of nodes and edges.
• Excellent for applications involving complex relationships and network 
structures.
Time Series Databases:
• Examples: InfluxDB, TimescaleDB, OpenTSDB
• Optimized for handling time-stamped data, such as sensor data, logs, 
and IoT data.
• Offer specialized functions for time-based data aggregation and 
analysis.
Object Stores:
• Examples: Riak, Amazon S3
• Store objects, often binary data like images and videos, with a unique 
identifier.
• Commonly used for storing and retrieving unstructured data.
NewSQL Databases (Blurring the Line):
• Examples: CockroachDB, NuoDB
• While not strictly NoSQL, these databases aim to combine the 
benefits of traditional SQL databases with the scalability and flexibility 
of NoSQL databases.
Conclusion
• It's important to note that the field of database technology is rapidly 
evolving, and new types of databases may have emerged since my 
last update. 
•  When choosing a database for your specific use case, consider 
factors such as data model, scalability requirements, consistency 
needs, and ease of development and maintenance.
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