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Top Popular And Free Open-Source NoSQL Databases For Enterprise Database Management

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NoSQL is the latest breed of database management systems, a significant shift from the traditional relational database management approach. Relational databases are used to store data in tables of rows and columns, whereas NoSQL does not require any table-based data storage. You can avoid the need to JOIN at NoSQL, which can also support the database’s horizontal scaling. These new database models are also capable of supporting big data applications and facilitate data analytics at best.

This article will introduce the top-rated NoSQL databases to you, which are largely being used by enterprise clients across the globe. However, this list is not prepared in any order of ranking, but a random choice of the top databases for you to better understand each.

 

Top NoSQL DBs in practice

 

  1. MongoDB

MongoDB is an agile database, which is highly scalable with amazing performance. It is an open-source DBMS which is written in C++ language and features a document-oriented storage model. You will also be provided with the benefits as:

  • Full index support
  • High availability among all WANs and LANs
  • Easy replications
  • Unlimited horizontal scaling
  • Rich document-based querying
  • Flexible data processing
  • Data aggregation etc.

MongoDB is an agile database, which is highly scalable with amazing performance. It is an open-source DBMS which is written in C++ language and features a document-oriented storage model. #NoSQL #MongoDB #Database Click To Tweet

Uses can also avail support for proper training, answering customer queries, and anytime consultation. There is also a huge community around MongoDB which can support you with merely anything related to it.

  1. Redis

It is another open-source database with a key-value store. Being an advanced level database platform, it owes to the presence of sets, hashes, sorted sets, strings, and lists in the key. Redis is also known as a data structure server. It will help you run atomic data operations like incrementing the value present in a hash, set intersection computation, different and union, string appending, etc. Redis makes use of an in-memory dataset also in order to achieve a higher level of performance. The Redis system is also compatible with the majority of the programming languages.

Redis makes use of an in-memory dataset also in order to achieve a higher level of performance. The Redis system is also compatible with the majority of the programming languages. #NoSQL #Redis #Database Click To Tweet

  1. Couch DB

Couch DB is an advanced project by the Apache project, which comes with powerful database management features to work with JSON-based applications. This is a unique database that comes with a powerful API for storing the JSON objects as documents in the database. The users of Couch DB can also use JavaScript for handling MapReduce queries on the DB. It can also offer a convenient web-based console for easy administration of the database operations. Overall, it can be a handy DB for web-based applications.

  1. RavenDB

RavenDB is one of the tops among the second-generation open-source databases. It is also a document-oriented DB, which is schema-free. You have to dump the data objects into it for storage. It also provides a highly flexible and fast set of queries and query execution. Scaling up is also very easy on RavenDB, which can offer out of the box support for multi-tenancy, replication, sharding, etc.  There is also full support offered for ACID transactions along with the safety of the data. Along with the guarantee for higher performance, RavenDB also offers easy extensibility in bundles.

  1. MemcacheDB

This is a modern DB, which features a distributed storage system having a key-value DB model. However, this should not be confused with a cache solution. As RemoteDBA.com attests, it is a persistent DBMS engine for storage, which can aid in high-level data storage and retrieval in a very quick and reliable manner. The storing backend for Memcache DB is the Berkeley DB that supports replication and transactional features too.

The storing backend for Memcache DB is the Berkeley DB that supports replication and transactional features too. #MemcacheDB #Database #NoSQL Click To Tweet

  1. Riak

Riak is another powerful database, which follows a distributed data model. Offering predictable and easy scaling also equips the users with the ability for quick testing, easy prototyping, and instantly deployment of the application, which helps the overall development process.

  1. HBase

HBase is a distributed data management system, which is highly flexible and scalable. It is considered a functional big data store too. HBase is handy when you are looking for real-time random access to your data. It has linear modular scalability along with consistent reads and writes. Some other major features of HBase include configurable table sharding, easy client access, automation abilities, Bloom filters, blocking caches, and much more.

  1. Perst

Perst is an object-oriented database management system, which is open-source and also features a dual license to operate. With this, you may easily store, sort, and retrieve data in the applications with only lower overhead in terms of memory and storage, but by enjoy a higher speed of write and read operations.

  1. HyperGraphDB

It is another open-source DBMS system that features a distributed, general-purpose, portable, and extensible database, which is also embeddable. This is primarily a graph-based database that is meant mostly for big data, AI, and semantic web projects for knowledge representation, etc. HyperGraphDB can also handle Java projects of various sizes.

  1. Neo4j

Neo4j is a graph-based database that features a high-level performance. It comes equipped with all features of a complete database system. It also offers the programmers a highly flexible, object-oriented network, which allows them to enjoy the benefits of a complete transaction database. Compared to the traditional RDBMS systems, Neo4j can offer more performance improvement features in many of the functions.

  1. Cassandra

If you are in search of a highly scalable and available database without compromise on performance and storage, then Cassandra is the thing for you. Being a perfect data platform characterized by high fault tolerance and linear scalability, Cassandra offers the best in class replication support too.

  1. Voldemort

Voldemort is a distributed data storage system that automatically replicates and offers automatic data partitioning, transparent server failure handling, pluggable serialization, and node independence and versioning of data. It supports effective data distribution also across different data centers.

  1. Terrastore

Another modern datastore facilitates elasticity features and high scalability highly without compromising consistency and speed of performance. This is a system that is based on fast clustering technology, which is highly industry proven. Terrastore can support easy deployments in a single or multi-clustered environment, which can also be accessed through HTTP protocols.

Another open-source NoSQL database includes but is not limited to NeoDatis, MyOODB, OrientDB, InfoGrid, Db4objects, etc.

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