The best NoSQL database in 2021

A database is a collection of information that can be easily accessed, managed, and updated. Before we introduce the most popular NoSQL databases, you need to know the NoSQL database. Most programmers do not even know what NoSQL stands for.

What is a NoSQL Database? NoSQL Databases (Non Only SQL Databases) are non-relational database systems used to store and retrieve data. In today's world, we do not have to store all data in a table format that does not have predefined fixed patterns. Such as user generated data, GEO location data, IoT generated data, social samples, examples of real-world data that are increasing exponentially. This huge amount of data requires a lot of processing. This is where the NoSQL database comes into play. Using NoSQL database, we can easily store and retrieve documents, chart-based data, key-value. We can easily prevent SQL join operations. Horizontal scaling is easy for real-world problems (corporate and web applications) using NoSQL databases. The motivation for using NoSQL is the simplicity of designing and scaling horizontally for device clusters that are difficult to access in RDMS databases. The best NoSQL databases for 2021 1. MongoDB MongoDB is the most well-known database among NoSQL databases. Is an Open-Source database that is document-based. MongoDB is a scalable and accessible database. Is in C ++. It can also be used as a file system. In MongoDB, JavaScript can be used as a query language. JavaScript is very useful in popular frameworks. Amazing performance and new features make this NoSQL database number one on this list. Benefits of MongoDB MongoDB is easy to set up MongoDB Inc. Supports its clients professionally It has a high speed The database is Schema-less It has horizontal scalability It has a very high performance Disadvantages of MongoDB Does not support joins The size of the data is large You have limited documents Increases unnecessary memory usage 2. Cassandra Cassandra was created to search inboxes on Facebook. A distributed data storage system for managing large amounts of structured data. In general, this data is distributed across many product servers. You can also increase the storage capacity of your data that keeps your services online, and you can easily do that. Benefits of Cassandra High scalability There is no point in failing Integrates with other JVM-based applications For the development of multiple data centers, redundancy, failure and recovery are very suitable Disadvantages of Cassandra Limited compression support Unpredictable performance Does not support ad-hoc queries 3. Redis Redis (Remote Dictionary Server) is a key-value store. In addition, it is the most famous key-value store. Supports C ++, PHP, Ruby, Python, Perl, Scala, etc. Redis is made in C language. It is a memory database but it is stable on disk. Benefits of Redis Supports a wide variety of data types It is easy to install Very fast It has multi-purpose tools Disadvantages of Redis Does not support joins The data set should be easy to store in memory Knowledge required by Lua for storage processes 4. HBase Is a distributed, unrelated database designed by Google for the BigTable database. One of the main goals of HBase is to host billions of rows and millions of columns. You can add servers at any time to increase capacity. And several key nodes guarantee high access to your data. HBase is built on Java 8. Licensed by Apache. Benefits of HBase Provides fast search for larger tables Easy Java API for client Auto-sharding Free license Manages large data sets on HDFS file storage Flexible in schema design It has a high speed Disadvantages of HBase Does not support transaction Has no internal license or authentication Only breakdown point (when only one HMaster is used) Does not support SQL structure Memory problems on the cluster 5. Neo4j It is used as a native graphical database because it effectively implements the graph model up to the storage level. This means that the data is stored exactly as you put it on the whiteboard, and the database uses the cursor to move the graph. Advantages of Neo4j Easily retrieves authorized nodes or communicates with details without join and indexing Leo Nej4j query language commands are easy to learn No complicated joins are required to retrieve the data High accessibility for large organizations in real applications Disadvantages of Neo4j Does not support Sharding 6. RavenDB RavenDB is a core NoSQL document database that provides transactional data integration (ACID) across multiple database documents and your entire database cluster. RavenDB, an open source distributed database, offers high accessibility and excellent performance. It is easy to use with many native tools to eliminate the need for extensions, externals or unnecessary support to increase developer productivity. Benefits of RavenDB Supports multiple languages: Net., C #, Go, Java, JavaScript (Node.js), Python, Ruby

RavenDB features are designed to minimize developer hassle and overhead Memory usage is fixed compared to newer versions. RavenDB optimizes memory usage on Raspberri Pi and ARM servers Everything you need is available, reduces third-party integration and minimizes complexity Schemaless Database Supports multiple server operating systems: Linux, macOS, Raspberry Pi, Windows Disadvantages of RavenDB Does not support data sharding Does not support joins Here are some of the most popular NoSQL databases along with their pros and cons. In addition to the six mentioned, we can mention Oracle NoSQL, Amazon DynamoDB, Couchbase, Memcached and CouchDB. You can choose the most suitable database according to your project type. We need to know how to scale our database by increasing data in applications. Every database administrator should learn the first CAP rule and select and select each database based on the needs of the program.


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