NoSQL Databases

TrustRadius Top Rated for 2024

Top Rated Products

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Amazon DynamoDB

Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.

Astra DB

Astra DB from DataStax is a vector database for developers that need to get accurate Generative AI applications into production, fast.

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Couchbase Server

Couchbase Server is a cloud-native, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON flexibility and scale that defines NoSQL. It is available as a service in commercial clouds and supports hybrid and private cloud…

Amazon DynamoDB

Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.


MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB…


Redis is an open source in-memory data structure server and NoSQL database.

IBM Cloudant

Cloudant is an open source non-relational, distributed database service that requires zero-configuration. It's based on the Apache-backed CouchDB project and the creator of the open source BigCouch project. Cloudant's service provides integrated data management, search, and analytics…

Astra DB

Astra DB from DataStax is a vector database for developers that need to get accurate Generative AI applications into production, fast.


RavenDB is a NoSQL Document Database that is fully transactional (ACID) across the database and throughout clusters. It is presented as an easy to use all-in-one database that minimizes the need for third party addons, tools, or support to boost developer productivity and get projects…

Apache Cassandra

Cassandra is a no-SQL database from Apache.

Apache HBase

The Apache HBase project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable.

Apache CouchDB

Apache CouchDB is an HTTP + JSON document database with Map Reduce views and bi-directional replication. The Couch Replication Protocol is implemented in a variety of projects and products that span computing environments from globally distributed server-clusters, over mobile phones…

MarkLogic Server

MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities. The vendor states it is the most secure multi-model database, and it’s deployable in any environment. They state it is an ideal database to power a data hub.

Azure Cosmos DB

Microsoft Azure Cosmos DB is Microsoft's Big Data analysis platform. It is a NoSQL database service and is a replacement for the earlier DocumentDB NoSQL database.


Riak is a NoSQL database from Basho Technologies in Bellevue, Washington.

DataStax Enterprise

DataStax Enterprise (DSE) is the scale-out, cloud-native NoSQL database built on Apache Cassandra. DSE is Developer Ready providing developers the freedom of choice of REST, GraphQL, CQL and JSON/Document APIs.


The Aerospike Real-time Data Platform aims to enable organizations to act instantly across billions of transactions while reducing server footprint up to 80%. The vendor states Aerospike multi-cloud platform powers real-time applications with predictable sub-millisecond performance…

Google Cloud Datastore

Google Cloud Datastore is a NoSQL "schemaless" database as a service, supporting diverse data types. The database is managed; Google manages sharding and replication and prices according to storage and activity.

Apache Geode

Apache Geode is a distributed in-memory database designed to support low latency, high concurrency solutions, available free and open source since 2002. With it, users can build high-speed, data-intensive applications that elastically meet performance requirements. Apache Geode…

Couchbase Capella

The Couchbase Capella product is a fully managed DBaaS automating setup and ongoing operations.

Percona Server for MongoDB

Percona Server for MongoDB is a free and open-source drop-in replacement for MongoDB Community Edition. It combines all the features and benefits of MongoDB Community Edition with enterprise-class features from Percona. Built on the MongoDB Community Edition, Percona Server for MongoDB…

Oracle NoSQL Database

Oracle offers a NoSQL Database.


ArangoDB is a distributed free and open-source database with a flexible data model for graphs, documents, and key-values. Its supporters state that developers can build high performance applications on top of ArangoDB using a convenient SQL-like query language or JavaScript extensions.…

Amazon DocumentDB (with MongoDB compatibility)

Amazon DocumentDB (with MongoDB compatibility) is presented by the vendor as a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB is designed to make it easy to store, query, and…

Google Cloud BigTable

Google's Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads with up to 99.999% availability.


Qubole is a NoSQL database offering from the California-based company of the same name.

Apache Drill

Apache Drill is a schema-free query engine for use with NoSQL or Hadoop data or file storage systems and databases.

Videos for NoSQL Databases

Comparing MySQL and NoSQL
While MySQL is a specific product, NoSQL is a type of database that includes a number of available products. Whether a NoSQL (nonrelational database) product or using MySQL (relational database) is right for you greatly depends on the data you are storing, queries, and flexibility.
MySql vs MongoDB, What's the Best Database Solution?
MongoDB and MySQL are both excellent database solutions, but they support pretty different use cases. We go over the key differences between each yo help you decide which one is right for your needs.
How do NoSQL databases work?
NoSQL databases power some of the biggest sites. They're fast and super scalable but how do they work?

Learn More About NoSQL Databases

What is a NoSQL Database?

NoSQL databases are databases designed to be used across large distrusted systems. They are notably much more scalable and much faster at handling very large data loads than traditional relational databases. Unlike other databases, NoSQL databases do not use the standard tabular relationships the relational databases employ. Instead, NoSQL databases allow for the querying and storage of data by a variety of other means, depending on the specific software.

NoSQL Features & Capabilities

  • Performance

  • Availability

  • Multi-Model

  • Concurrency

  • Security

  • Scalability

  • Data Model Flexibility

  • Deployment Model Flexibility

Advantages of NoSQL over Relational Databases?

Traditional relational databases store data in highly structured tabular form, with multiple rows and columns. While these data stores are highly flexible, easy to maintain, and effective for data stored on a single server, they do not scale very well in a distributed system compared to NoSQL database alternatives.

Distributed systems using inexpensive storage and processing power are becoming much more common and are often used in environments where there is a need for high availability and speed. NoSQL databases work significantly better across this kind of distributed system.

The other main advantages are:

  • NoSQL databases are Non-Relational meaning they are table-less and easier to manage. They provide a higher level of flexibility with newer data models.

  • They are often open source and therefore lower cost. NoSQL databases can be an appealing solution for smaller organizations with limited budgets.

  • NoSQL databases are optimized for specific data models that enable higher performance than trying to accomplish similar functionality with relational databases.

NoSQL Data Models

Not all NoSQL databases use the same data model. Although the primary distinction between a relational data store and a NoSQL database is the data model, there are several different types of NoSQL data model. Below are descriptions of three of the most popular data models used in NoSQL databases:

  • Document model: These NoSQL databases replace the familiar rows and columns structure with a document storage model. Each document is structured, frequently using the JavaScript Object Notation (JSON) model. The document data model is associated with object-oriented programming where each document is an object.

  • Graph model: NoSQL databases using the graph model usually require all the data to reside on one machine which negates one of the key advantages of NoSQL databases. This class of databases uses structures like data modes, edges and properties, making it easier to model relationships between entities in an application.

  • Key-value model: In this NoSQL database model, a key is required to retrieve and update data. The key-value data model is very simple and therefore scales well. However, this simplicity and scalability come at the cost of query complexity.

Pricing Information

NoSQL database costs can be a complex issue. Although the database itself can be free or much less expensive than a traditional relational database, the cost of maintaining a NoSQL product can be higher. Part of the reason for this is that expertise in the various types of NoSQL database is harder to find than traditional SQL expertise.

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Frequently Asked Questions

What is a NoSQL database?

A NoSQL database is a database designed to allow for scalable data storage that can handle. Compared to other databases, NoSQL databases don’t use tabular relationships. Querying for NoSQL databases is handled differently depending on the software.

What are the best NoSQL databases?

The Top Rated NoSQL Databases include:

When is a NoSQL database the best option?

NoSQL databases are most appropriate for projects or businesses that have large amounts of data to be stored. Additionally, the minimal structure NoSQL databases provide can allow for quick development for projects that need it. NoSQL databases may not be ideal for storing highly-structured data.

How much do NoSQL databases cost?

The upfront costs for NoSQL databases can be very low, or even free. After initial costs though, maintaining a NoSQL database can be pricier depending on how it is hosted. Additionally, NoSQL experts are less common than SQL experts, so staffing for a NoSQL system can be more expensive.

What are the key considerations when selecting a NoSQL database?

The most important feature of a NoSQL database to consider is the data model it uses. Unlike SQL databases, which use a relational model, NoSQL databases use a variety of different models. The Key-Value model is the most scalable at the cost of complexity, while the document model is optimized for use with object-oriented programming languages. Many data models exist, so consider which one is best for your needs.