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Top 5 NoSQL Databases to Learn #nosql #nosqldatabase #database #technology #softwaredeveloper
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the top NoSQL (Not Only SQL) databases include:
MongoDB: A document-oriented database that provides high performance, scalability, and flexibility. It stores data in flexible, JSON-like documents and is widely used for a variety of applications.
Apache Cassandra: A distributed database designed for scalability and high availability. It can handle large amounts of structured and semi-structured data across multiple commodity servers.
Couchbase: A NoSQL database that combines key-value store, document-oriented, and caching capabilities. It provides high performance, data replication, and flexible data models.
Apache HBase: A distributed, column-oriented database modeled after Google's Bigtable. HBase runs on top of the Hadoop Distributed File System (HDFS) and provides random real-time read/write access to big data.
Redis: An open-source, in-memory data structure store. Redis supports various data structures such as strings, lists, sets, and sorted sets. It is known for its high performance, caching capabilities, and pub/sub messaging system.
CouchDB: A document-oriented database that uses JSON for data storage, JavaScript for querying, and HTTP for API access. CouchDB provides a distributed architecture with seamless replication.
Amazon DynamoDB: A fully managed NoSQL database service provided by Amazon Web Services (AWS). DynamoDB offers low-latency, scalable storage for applications with varying read and write requirements.
Neo4j: A graph database that focuses on storing, querying, and analyzing highly connected data. It uses a graph-based data model and the Cypher query language.
Riak: A distributed NoSQL database designed for high availability, fault tolerance, and scalability. Riak stores key-value data and supports eventual consistency and conflict resolution.
Elasticsearch: While primarily known as a search engine, Elasticsearch also serves as a distributed document-oriented NoSQL database. It provides full-text search, real-time analytics, and is highly scalable.
Please note that the popularity and rankings of databases may have changed since my knowledge cutoff, as the technology landscape continues to evolve. It's always a good idea to research and explore the latest developments in the NoSQL database ecosystem.
Please follow and ask any question to our linkedin profile and twitter or our web site and we will try to help you with answer.
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Here Group of People are sharing their Knowledge about Software Development. They are from different Top MNC. We are doing this for community. It will help student and experience IT Pro to prepare and know about Google, Facebook, Amazon, Microsoft, Apple, Netflix etc and how these company works and what their engineer do.
They will share knowledge about Azure, AWS , Cloud, Python, Java,.Net and other important aspect of Software Development.
MongoDB: A document-oriented database that provides high performance, scalability, and flexibility. It stores data in flexible, JSON-like documents and is widely used for a variety of applications.
Apache Cassandra: A distributed database designed for scalability and high availability. It can handle large amounts of structured and semi-structured data across multiple commodity servers.
Couchbase: A NoSQL database that combines key-value store, document-oriented, and caching capabilities. It provides high performance, data replication, and flexible data models.
Apache HBase: A distributed, column-oriented database modeled after Google's Bigtable. HBase runs on top of the Hadoop Distributed File System (HDFS) and provides random real-time read/write access to big data.
Redis: An open-source, in-memory data structure store. Redis supports various data structures such as strings, lists, sets, and sorted sets. It is known for its high performance, caching capabilities, and pub/sub messaging system.
CouchDB: A document-oriented database that uses JSON for data storage, JavaScript for querying, and HTTP for API access. CouchDB provides a distributed architecture with seamless replication.
Amazon DynamoDB: A fully managed NoSQL database service provided by Amazon Web Services (AWS). DynamoDB offers low-latency, scalable storage for applications with varying read and write requirements.
Neo4j: A graph database that focuses on storing, querying, and analyzing highly connected data. It uses a graph-based data model and the Cypher query language.
Riak: A distributed NoSQL database designed for high availability, fault tolerance, and scalability. Riak stores key-value data and supports eventual consistency and conflict resolution.
Elasticsearch: While primarily known as a search engine, Elasticsearch also serves as a distributed document-oriented NoSQL database. It provides full-text search, real-time analytics, and is highly scalable.
Please note that the popularity and rankings of databases may have changed since my knowledge cutoff, as the technology landscape continues to evolve. It's always a good idea to research and explore the latest developments in the NoSQL database ecosystem.
Please follow and ask any question to our linkedin profile and twitter or our web site and we will try to help you with answer.
website
FB
Here Group of People are sharing their Knowledge about Software Development. They are from different Top MNC. We are doing this for community. It will help student and experience IT Pro to prepare and know about Google, Facebook, Amazon, Microsoft, Apple, Netflix etc and how these company works and what their engineer do.
They will share knowledge about Azure, AWS , Cloud, Python, Java,.Net and other important aspect of Software Development.
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