As the competition in this cutthroat industry gets harsher in this digital era, it requires businesses to step up their game, especially in unlocking the potential of digital platforms when incorporating them into daily operations. That said, equip your organization with the necessary digital tools, including robust NoSQL databases, and get yours here.


13+ NoSQL Databases Software

1. MongoDB

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Rating: 4.5/5

Price: FREE

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2. Amazon EC2

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Rating: 5/5

Price: Custom

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3. Redis Enterprise

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Rating: 5/5

Price: Custom

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4. Graph DB

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Rating: 5/5

Price: Custom

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5. Apache CouchDB

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Rating: 4.7/5

Price: Custom

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6. Neo4j

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Rating: 5/5

Price: Custom

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7. Data Fabric

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Rating: 5/5

Price: FREE

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8. CloverDX

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Rating: 4.9/5

Price: Custom

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9. RavenDB

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Rating: 4.3/5

Price: Custom

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10. Couchbase

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Rating: 5/5

Price: FREE

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11. DBHawk

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Rating: 5/5

Price: FREE

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12. Datastax

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Rating: 4.7/5

Price: FREE

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13. Crate.Io

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Rating: 5/5

Price: Custom

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14. OrientDB

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Rating: 4.7/5

Price: Custom

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What Is NoSQL Databases Software?

NoSQL databases software is a software technology providing businesses with a database design not following the traditional structure. Unlike relational databases, it does not require a schema. With this, users can make way for more scalability and adapt to their changing needs in their data management operations. Also, it has functionalities allowing you to track and minimize cloud costs on your cloud applications. Using this software helps you incorporate agile development in your processes.

Benefits

With this technology, you can enjoy more efficiency and productivity in your processes by incorporating workflow automation. Also, aside from reducing workload and optimizing results, it improves your resource allocation practices. This software solution also helps end-users better adapt to changing requirements. 

Features

The software market presents a long list of digital solutions supporting varying data structures. That said, making the right choice of software is essential to achieving your objectives and set goals. Singling out your software takes more than getting familiar with its interface designs. It also involves studying their pricing structure and how your available options can serve your operations. The following features are just examples of the elements of an effective NoSQL databases software:

  • Data replication tools
  • Big data functionalities
  • Multiple data model support
  • Fraud detection capabilities
  • IoT analytics
  • Flexible schemas
  • Horizontal scaling capabilities
  • Data modeling tools
  • Data distribution features

Top 10 NoSQL Databases Software

1. Amazon EC2

This application development software has computer security and data import/export functionalities. Its software company, AWS, has 62 billion dollars in revenue and has employed 40,000 people.

2. MongoDB

This big data software has data migration and virtualization tools. They have 778 million dollars in generated revenue and have 2,934 employees in their team.

3. Apache CouchDB

With Apache CouchDB, you can simplify the complexities involved in data warehouse and management capabilities. They have a generated revenue of 303.3 million dollars and have 2,092 people on their team.

4. Data Fabric

Data Fabric is a digital solution with ESB software functionality and data governance capabilities. They have 1,549 people in their team and have a generated revenue of 196.2 million dollars.

5. Couchbase

Big data and data retrieval tools are features you can use in this NoSQL databases platform. They have generated a revenue of 117 million dollars and have employed 633 people. 

6. Neo4j

Neo4j is database software that provides users with an easy query language and pattern detection features. They have employed 500 people and have a revenue of 105 million dollars.

7. Redis Enterprise

With this database software, you can streamline data migration and monitoring practices. They have 680 employees working for them and have 57 million dollars in revenue.

8. CloverDX

CloverDX is a platform with information governance functionalities and data connectors. They have 18 million dollars in generated revenue and have 100 employees working for them.

9. GraphDB

With this NoSQL databases software, you can use data storage management and access permissions features. Its developer, Ontotext, has 70 people working for them and has 10.2 million dollars in revenue.

10. RavenDB

Functionalities for full-text search and a document database are accessible in this database software. They have 50 employees and a generated revenue of 10 million dollars.

FAQs

What are the varying types of NoSQL databases?

There are varying types of NoSQL databases, four in total. They differ when it comes to their use cases. The document store is one of them. In this category, you can store documents, including JSON documents. Also, it involves key-value stores that function to pair keys to values. The other types on the list are wide-column databases and graph databases.

How are NoSQL databases different from relational databases?

Relational and NoSQL databases differ in how they function and how you can access them. The former also requires a pre-fined schema, while the latter is the opposite, giving users more freedom and flexibility. Also, most NoSQL databases belong to open source database communities. On the other hand, relational databases are closed source and have licensing fees.

Why are NoSQL databases essential?

NoSQL databases have become known across organizations because of their lower costs and more encompassing service offerings. Also, with this, you can expand to multiple servers and make more informed decisions toward horizontal scaling. Your NoSQL database also minimizes disruptions when adding new items or information, making workflows more seamless.

Do more and achieve more with your database while minimizing the effort you need to put in and untangling its complexities. Also, cut through costs and aim for zero downtime with the right software for you. Get the best NoSQL databases software for you as early as now and grow your business without worrying about the database management challenges it brings along. 


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