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11 Best NoSQL Database for Effective Management of Data


August 29, 2023


March 27th, 2024

Category Database

Best NoSQL Database

Data is the king today, and developers have used SQL for their database management activities for years. With organizations handling millions of users concurrently with different types of structured and unstructured data, NoSQL has garnered popularity. NoSQL databases are today’s latest mantra regarding performance, agility, and scalability.

Multiple NoSQL databases are famous worldwide, each with its characteristics. Through this article, we have developed the best NoSQL database that has been gaining traction across businesses.

The compiled NoSQL database list can help you finalize the best choice for your organization. Before that, let us examine the characteristics of a NoSQL database.

What is a NoSQL Database?

A NoSQL (initially referred to as “non-SQL” or “non-relational”) database provides a mechanism for the storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. – Wikipedia

NoSQL databases are non-tabular structures ideal for large distributed systems. They are faster and more scalable than traditional relational databases in managing huge data loads.

They don’t use the standard tabular structure and don’t need fixed-set columns. They support horizontal scaling, flexible data models, and fast queries and avoid using JOINs.

The four key NoSQL database types are key-value store, graph database, document store, and wide-column oriented database.

Some of the salient advantages of having a NoSQL database are:

  • Flexible and dynamic data model for data storage
  • Easy scaling of server points with intact performance
  • Enhanced development time with minimal coding
  • Optimized potential of infrastructural capabilities
  • Seamless support for business apps with increased access
  • Storing structured, semi-structured, and unstructured data
  • Easy access to data from any device, anywhere, at any time

A NoSQL database can store data of different types, such as video clippings, images, social media utilization, text documents, mobile device activities, etc. Amazon, SAP, Google, Facebook, Adobe, Capgemini, LinkedIn, and J P. Morgan are some of the many popular organizations leveraging the potential of the most popular NoSQL databases.

11 Best NoSQL Databases That Are Popular

  • HBase
  • Cassandra
  • MongoDB
  • Couchbase
  • Amazon DynamoDB
  • Redis
  • RavenDB
  • OrientDB
  • Neo4j
  • Memcached
  • MarkLogic

1. HBase

As one of the best NoSQL databases, HBase is a non-relational, column-oriented, distributed Hadoop database supporting billions of data rows and data columns using commodity hardware clusters. It was developed as part of the Apache Software Foundation’s Apache Hadoop project. It executes HDFS file storage, enabling the management of massive datasets and empowering users to access servers anytime. It supports auto-sharding, scalability, flexibility with schema design, and consistent reading and writing competencies.

2. Cassandra

Cassandra is a free and open-source, high-performing database that supports the NoSQL way of working. It supports fault tolerance on commodity hardware and cloud infrastructure. It can easily manage failed node replacements without switching off the systems with multiple data replication across nodes. Users can conveniently scale data storage capacities as needed. It is ideal for multi-data center deployments and offers seamless integration with other JVM-based applications.

3. MongoDB

MongoDB is one of the most popular and best NoSQL databases, and it is general-purpose and document-oriented. It offers a horizontal architecture that can manage vast volumes of data. It is a scalable database accessible in C++ and can serve well as a query language. It is fit for horizontal scaling through a process called sharding. Some of its salient features are high speed and performance, easy setup, support for Ad Hoc queries, and the fact that it does not follow a fixed schema.

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4. Couchbase

Couchbase is a web-oriented, single-node, easy-to-use NoSQL database that offers a flexible data model with excellent performance and scalability. It offers lessened network, memory, and storage costs. It stores data with JSON documents that can be easily accessed through the web browser. It uses various protocols and formats for adequate data storage, processing, and transfer. It offers aggregate optimization, has a crash-resistant structure, and continuously saves data.

5. Amazon DynamoDB

Powered by Amazon, DynamoDB is one of the most popular NoSQL databases. It fully manages and includes documents, graphs, and columnar data models. It has an auto-scaling capability and runs the queries through a user-defined primary key. It supports document data structure and cloud services. It is simple to install and offers at-rest encryption to lessen the complication of protecting sensitive data. On-demand backup facilities and on-point recovery are available with auto scalability and in-memory caching.

6. Redis

Redis is a leading, open-source, NoSQL database with an in-memory data structure store that provides quick. It is written in ANSI C and is leveraged as a database and message broker. It supports many data structures like sets, strings, sorted sets, lists, etc. It works well with almost all programming languages, including Linux and OS X OS. It owns range queries, geospatial indexes, bitmaps, and streams.

7. RavenDB

RavenDB is a leading member of the NoSQL database list, which was created especially for. NET. It offers the combined goodness of a NoSQL database and a relational database. There is complete transactional data integrity (ACID) with broad cross-functional integrity. It provides excellent scalability and can create newer nodes with increased data demand. It is easily installable on significant cloud services like Azure, AWS, GCP, etc.

8. OrientDB

OrientDB is an open-source NoSQL database that merges the strength of graphs and the flexibility of documents to offer a robust, scalable database. It supports different models like documents, graphs, object key/value models, etc. It is written in Java and is considered speedy for read/write operations. It focuses hard on reliability and security. There is a graph editor through which you can visualize and interact with data. There is schema flexibility for your app requirements.

9. Neo4j

Neo4j is one of the best NoSQL databases, also called a native graph database, since it is graph-based, open-source, and offers an ACID-compliant transactional system. The data is stored just how you want it and can be easily accessed. The database can even travel the graph through pointers. Neo4j also delivers Java, .NET, JavaScript, Python, and Go drivers.

10. Memcached

Memcached is a free, open-source, distributed, popular memory object caching system meant to lessen the load on the database by offering high-performance and fastening applications. It provides quick installation and detailed documentation with extensive community support. It is a simplistic yet robust NoSQL database. The simple design that it offers facilitates faster development and deployment.

11. MarkLogic

MarkLogic is a known, multi-model member of the NoSQL databases list. It can manage complicated data integration cases in a competitive business infrastructure. It empowers users to achieve data agility, enhances insightful decision-making, and merges user data with other associated components to offer a single platform. It connects and manages your data and metadata to utilize knowledge across the organization.

Best NoSQL Database: Summing It Up

NoSQL is ideally recommended for organizations that face constant data change, deal with huge and continuously growing data, need great scalability and flexibility, and when data integrity is not most important.

The above NoSQL databases list is a curated bundle of the best NoSQL databases that have proven their mettle in the world of data-driven organizations. All of them are worthy; the final choice depends on certain organization-specific factors like budgeted costs, scalability, project needs, time schedules, high availability, and reliability.

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