NoSQL is a non-relational DMS, and it does not need a fixed schema, scales easily, and avoids joins. NoSQL database software is utilized for distributed data stores and facilitates storage of large volumes of data. For this reason, it is used for real-time web applications and big data.
What to Look For In NoSQL Database SoftwareBrowse 953 reviews, 789 case studies & customer success stories, and 292 customer videos of the best NoSQL Database Software for your business needs
Aerospike is the world’s fastest database powering a new class of real-time, context-driven applications. Developers use Aerospike, an open-source, flash-optimized, in-memory NoSQL key-value store for caching, as a context store, …
Couchbase is the company behind the Couchbase open source project, a vibrant community of developers and users of Couchbase document-oriented database technology. Their flagship product, Couchbase Server, is a packaged …
Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and …
ArangoDB, Inc. is a U.S. based privately held company founded in Cologne in 2014 to meet the increasing demand for professional services around ArangoDB. ArangoDB can operate as a distributed …
ZoomInfo is a B2B database software company that delivers business data to supercharge marketing campaigns and sales outreach. ZoomInfo helps customers identify their buyer personas, reach decision makers faster, and …
Neo4j is an internet-scale, native graph database that leverages connected data to help companies build intelligent applications that meet today's evolving challenges, including machine learning and artificial intelligence, fraud detection, …
Data is the lifeline of every business, and Redis helps organizations reimagine how fast they can process, analyze, make predictions, and take action on the data they generate. Redis provides …
DataStax powers the Right-Now Enterprise with the always-on, distributed cloud database, built on Apache Cassandra™ and designed for hybrid cloud. The foundation for real-time applications at massive scale, DataStax Enterprise …
Hazelcast is the leading in-memory computing platform company which addresses the growing demand for enhanced application performance, speed and scalability. Hazelcast IMDG is an in-memory data grid built and proven …
CrateDB: The #1 database for IoT-scale. Purpose-built to scale modern applications in a machine data world. CrateDB is a SQL database that makes it simple to store and analyze massive …
Scylla is the fastest NoSQL database. Fully compatible with Apache Cassandra, Scylla embraces a shared-nothing approach that increases throughput and storage capacity as much as 10X that of Cassandra. AdGear, …
Metabase is bringing data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. Their Open Source analytics and business intelligence application let …
RavenDB, the industry’s first nonrelational document database that is fully transactional throughout your database. It’s expertise in improving performance while maintaining ACID guarantees boosted performance by a factor of 10 …
FaunaDB is the Relational NoSQL database that guarantees data correctness without operational complexity. Scalable, secure, transactional, global, multi-cloud, multi-tenant, temporal, and highly available, FaunaDB is designed to support digital enterprises …
OrientDB LTD is the company that is changing the way you store your data with OrientDB: a distributed Graph Database with the flexibility of Document Database. In a few words, …
NoSQL is a non-relational DMS, and it does not need a fixed schema, scales easily, and avoids joins. NoSQL database software is utilized for distributed data stores and facilitates storage of large volumes of data. For this reason, it is used for real-time web applications and big data. For instance, companies such as Google, Facebook, and Twitter use this software to store their daily captured terabytes of user information.
Why NoSQL?
NoSQL databases have become popular thanks to internet behemoths like Amazon, Facebook, and Google that handle enormous data volumes. Using RDBMS for large data volumes slows system response times. And it is expensive to upgrade your existing hardware to scale up your systems to resolve the concern.
The alternative method is to share database load on several hosts when the load rises. This technique is termed “scaling out.” NoSQL database software is designed for web applications, therefore it scales out much better compared to relational databases. Conventional RDBMS utilizes SQL syntax to store and find data to glean insights. On the other hand, NoSQL database software includes a wide array of database technologies that can store polymorphic, unstructured, semi-structured, and structured data.
As mentioned above, relational databases are not built to scale cost-effectively or easily. They need bigger hardware servers for large volumes of data which ramps up costs or require sharding which creates operational admin hassles. The solution is to leverage NoSQL database with a peer-to-peer, masterless architecture with similarity in all nodes. This facilitates effortless scaling to meet the complexity and data volume of cloud apps. Further, this scalability also boosts performance, and permits high read/write speeds and continuous availability.
In relational databases, you need to place data in columns and tables for access and analysis. NoSQL databases offer a range of data model capabilities that make them very flexible in handling data. They can store and manage unstructured, semi-structured, and structured data, while relational databases are rigid and can mainly handle only structured data.
Architects and developers therefore select NoSQL database software to effortlessly manage the different requirements of agile app development. Widely used data models are key-value, wide-column, document, and graph. By supporting multiple data models, the software permits you to utilize the same information in various model types without needing to manage a wholly different database.
NoSQL database makes zero downtime possible with its masterless architecture, which enables you to maintain several data copies across multiple nodes. If a node fails, then the copy of another node can accessed swiftly and easily. This feature is important because downtime is expensive for enterprises.
Invest in NoSQL database software that can distribute data at universal scale, which means it can utilize several locations involving several cloud regions and/or data centers for write/read processes. In contrast, relational databases leverage a centralized app that is dependent on a single site, especially for write processes. By utilizing a distributed database that has a masterless architecture, you can maintain high availability as data is distributed with several copies in multiple needed locations.
Big data capability
Can be leveraged as an analytic or primary data source
Effortless replication
No single failure point
Provides horizontal scalability and fast performance
No requirement for separate caching layer to store data
Can easily handle unstructured, semi-structured, and structured data
Doesn’t require a dedicated high-performance server
Created with object-oriented programming which is flexible and simple to use
Simpler to deploy compared to RDBMS
Supports popular developer platforms and languages
Manages big data which handles data velocity, complexity, volume, and variety
It can function as the main data source for web applications
Presents a flexible schema design that can be effortlessly changed without service disruption or downtime
Excels at multi-data center and distributed database operations
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