Introduction of Redis as NoSQL Database
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Redis is an open-source, advanced key-value data store, functioning as a data structure server capable of handling over 100,000 operations per second while operating primarily in-memory. It offers persistent storage options and is categorized under NoSQL databases, which are favored for their ability to handle large volumes of unstructured data and their flexibility compared to traditional relational databases. Key features of Redis include simplicity of design, horizontal scaling, and diverse client support for various programming languages.
Introduction of Redis as NoSQL Database
- 1. REDIS: NOSQL DATA STORAGE By Abhijeet Shekhar Everything and Anything I.T
- 2. Redis Redis is an open source, advanced key-value data store Often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets Redis works with an in-memory dataset Every second Redis can handle more than 100,000 Read/Write operations. It is possible to persist dataset either by dumping the dataset to disk every once in a while or by appending each command to a log
- 3. List of Databases Classical variant - store data in a relational database MySQL PostgreSQL SQLite HSQLDB and many more... Modern trend in a Web programming: store data in NoSQL databases
- 4. NoSQL(Not Only SQL) "Any form of distributed system with state, of which a distributed database is the canonical example, can exhibit almost two of the properties desirable Consistency, Availability and Persistence“ --By CAP theorem NoSQL provides Storage Retrieval of data with less constrained, Simplicity of design, Horizontal scaling, Availability, Highly optimized , Performance benefits in terms of latency and throughput.
- 5. Why NoSQL? Two trends: The exponential growth of the volume of data generated by users and systems The increasing interdependency and complexity of data, accelerated by the Internet, Web 2.0, social networks, mobile, etc NoSQL databases are useful when working with a huge quantity of data and the data's nature does not require a relational model for the data structure
- 6. Basic Concepts and Techniques CAP theorem (Consistency, Availability, Partition tolerance) ACID (Atomicity, Consistency, Isolation and Durability) BASE (Basically Available, Soft State, Eventual consistency)
- 7. Categories of NoSQL storages Key-Value memcached Redis Column Family Cassandra Document MongoDB Tabular BigTable, HBase Graph, XML, Object, Multivalued,…
- 8. NoSQL Classification by feature Data Model Performance Scalability Flexibility Complexity Functionality Relational Database variable variable low moderate relational algebra. Key–value Stores high high high none variable (none) Graph Database variable variable high high graph theory Document Store high variable (high) high low variable (low) Column Store high high moderate low minimal
- 10. Some Redis commands $ redis-cli set mykey "my binary safe value" $ ok $ redis-cli get mykey my binary safe value
- 11. List of Redis Clients PHP, Java, Python, Ruby, Perl, Scala, TCL, C, C++,Objective C, Node.js, Many more…
- 12. Redis Use Case Show latest items listings in your home page. Deletion and filtering. Leaderboards and related problems Queues Real time analysis of what is happening, for stats, anti spam, or whatever. Caching Many more…
- 13. Who is using Redis?
- 14. Thanks