linkedin
  • Become a Seller

Best Nosql Database Software in 2024

What is nosql software?

NoSQL databases in DBMS employ various query languages crafted to enhance data storage and retrieval speed and efficiency. NoSQL databases operate on a key-value pair storage system. In this system, a key functions akin to a column name in an SQL database, acting as an identifier for the corresponding value. Values can encompass diverse data types,... Read Buyer’s Guideimg

Best Nosql Database Software

(Showing 1 - 10 of 18 products)

Most PopularNewest FirstTop Rated Products
Akkio

Akkio

Brand: Akkio

4.5img

4.5 out of 5

(0 user reviews)

Akkio Database Management Software streamlines data organization and retrieval with its intuitive interface and robust search capabilities, enabling effici... Read More About Akkio read review arrow

$60 /Monthly

Cassandra

Cassandra

Brand: CASSANDRA

4.8img

4.8 out of 5

(4 user reviews)

Cassandra is a complete Nosql Database Software designed to serve Startups, SMBs, SMEs and Agencies. This Nosql Database Software for has a simple interfac... Read More About Cassandra img

Price On Request

Redis

Redis

Brand: Redis

Be the first to review

... Read More About Redis img

Price On Request

Mongodb

Mongodb

Brand: MongoDB

4.5img

4.5 out of 5

(0 user reviews)

Mongodb is an open-source database management system for modern apps that helps companies of all sizes. Proven and automated practices offered by the soft... Read More About Mongodb img

$57

ScyllaDB

ScyllaDB

Brand: ScyllaDB

Be the first to review

A complete NoSQL database solution offering unmatched performance and efficiency.... Read More About ScyllaDB read review arrow

Price On Request

Nosql Database Software Product List Top Banner - 1
Nosql Database Software Product List Top Banner - 2
Hazelcast

Hazelcast

Brand: Hazelcast

Be the first to review

Hazelcast is an open-source distributed computing platform known for its in-memory data storage and processing capabilities, enabling high-performance and... Read More About Hazelcast read review arrow

Price On Request

Memcached

Memcached

Brand: Memcached

Be the first to review

Memcached is an open-source, distributed memory caching system that speeds up dynamic web apps by storing data in memory, reducing database load.... Read More About Memcached read review arrow

Price On Request

RavenDB

RavenDB

Brand: RavenDB

Be the first to review

A powerful NoSQL database solution offering optimized performance and advanced security measures.... Read More About RavenDB read review arrow

Price On Request

Couchbase

Couchbase

Brand: COUCHBASE

Be the first to review

Couchbase is a NoSQL cloud-to-edge database monitoring solution that offers scalability and financial optimization to enterprises. It streamlines data and... Read More About Couchbase img

Price On Request

Riak

Riak

Brand: Riak

Be the first to review

Riak offers dynamic data management, efficient performance optimization, and advanced security measures.... Read More About Riak read review arrow

Price On Request

Last Updated on : 04 Jun, 2024

ask your question about software

Got any questions?

Ask Question from Real Users
or Software Experts

img
img

We provide the best software solution for your business needs

Founded in 2016, Techjockey is an online marketplace for IT Solutions. We are a pioneer in this field, as we are taking IT solutions to SMBs & MSMEs in tier II & tier III cities and enabling digitization of day-to-day processes.

2 Million+

Happy Customers

500+

Categories

20,000+

Software listed

Best Nosql Database Software FAQ’s

Software questions,
answered

Some examples of NoSQL databases include Riak KV, Apache Cassandra, and Redis. These databases offer various features and functionalities catering to different data storage needs and application requirements.

A NoSQL database becomes the preferred choice when handling large volumes of data that cannot be efficiently managed by SQL databases due to their scale-out architecture. Unlike SQL databases, NoSQL databases are inherently designed to handle big data without requiring additional engineering efforts, offering a straightforward path to data scalability and affordability.

The cost of NoSQL databases varies depending on factors like service provider and required features. Providers typically offer diverse pricing plans, including free options with basic functionality like MongoDB and CouchDB, suitable for newcomers. For advanced users needing enhanced features such as scalability, costs may rise significantly. Enterprise-level solutions like Amazon DynamoDB or Microsoft Azure Cosmos DB offer greater flexibility and scalability at a higher price range, starting from around $50/month for single-node instances to several thousand dollars per month for multi-node clusters.

SQL and NoSQL databases differ in structure, properties, query language, scalability, and support. SQL databases follow a relational structure with tables and logical links, while NoSQL database management system offers various models like key-value, document stores, and graph databases. SQL databases adhere to ACID properties, ensuring transaction integrity, while NoSQL databases vary in transaction resolution rules. SQL uses a standard language, while NoSQL databases in DBMS employ diverse query languages specific to each type. Additionally, SQL databases scale vertically, whereas NoSQL databases scale horizontally.

NoSQL databases are primarily utilized for distributed data stores with extensive storage needs. They are ideal for applications requiring handling of big data, such as real-time web apps, online shopping, social networks, Internet of Things, and online advertising, owing to their scalability and flexibility in managing unstructured data.

The speed comparison between NoSQL and SQL databases depends on the context. SQL databases excel in structured data scenarios with normalized tables, making them faster for joins, queries, and updates. In contrast, NoSQL databases, designed for unstructured data, offer faster read/write operations on individual data entities, enhancing performance in document-oriented, column-oriented, or graph-based data storage.

Nosql Database Software Reviews

C

Cassandra

4.7

“We're using Cassandra for our eCommerce platform for the last 1.5 years. So far our experience is good as it offers high performance and scalability.”

- Javesh

See all Cassandra reviewsimg
C

Cassandra

4.8

“Performance: Write performance is way too good. Distributed System: Network configuration and multiple data centers are handled well.”

- Milind Shirsat

See all Cassandra reviewsimg
C

Cassandra

5

“Ready to use APIs are available to reduce queries like materialized ones. It;s easily integrated with JVM as it's written in Java.”

- Mohan

See all Cassandra reviewsimg

Nosql Database Software Price List In India

Nosql Database Software Cost
Top Nosql Database Software Starting Price Rating
Akkio$60.00 /Monthly4.5
Mongodb $57.00 4.5

Buyer's Guide for Top Nosql Database Software

Found our list of Nosql Database Software helpful? We’re here to help you make the right choice and automate your business processes. Let’s discover some of the essential factors that you must consider to make a smarter decision!

  • What are NoSQL Databases?
  • Types of NoSQL Databases
  • Features That a NoSQL Databases Must Have
  • Benefits of Using NoSQL Databases
  • How to choose the best NoSQL Databases?
  • 10 Best NoSQL Databases Comparison
  • How do we rank and review the Best NoSQL Databases for you?

What are NoSQL Databases?

NoSQL databases in DBMS employ various query languages crafted to enhance data storage and retrieval speed and efficiency. NoSQL databases operate on a key-value pair storage system. In this system, a key functions akin to a column name in an SQL database, acting as an identifier for the corresponding value.

Values can encompass diverse data types, ranging from strings and numbers to objects, enabling versatile data storage in NoSQL DBMS. This flexibility streamlines schema customization without necessitating system-wide modifications when incorporating new fields or data types.

Moreover, NoSQL facilitates intricate queries, enabling users to swiftly explore extensive datasets without resorting to intricate SQL queries or manual table row sorting.

Types of NoSQL Databases

Here are various types of NoSQL data modeling tools;

  • Document Store: This category of NoSQL databases stores data in documents, resembling JSON files. Documents allow for diverse field types and nested structures, offering more adaptability compared to conventional tabular databases.
  • Key-Value Store: In this variant of NoSQL database management system, data is structured as a set of key-value pairs. The key typically acts as a unique identifier, while the value can encompass any data type. This setup facilitates swift data retrieval and storage.
  • Graph Database: Graph databases organize information into nodes and edges, representing interconnections between elements. They excel in modeling intricate systems where objects are linked by multiple relationships efficiently.
  • Column Store: Unlike traditional row-oriented databases, column stores arrange data in columns rather than rows. This approach minimizes disk I/O operations and memory usage, enhancing efficiency for specific queries on extensive datasets.
  • Multi-model Database: Multi-model databases integrate various NoSQL database types into a unified system, offering enhanced flexibility and scalability for managing large, structurally diverse datasets.

Features That a NoSQL Databases Must Have

NoSQL in DBMS offers a range of characteristics, making them more adaptable and effective than conventional relational databases. These features include;

  • Scalability: NoSQL database software is crafted for horizontal scaling, enabling seamless management of extensive data volumes over time. This stands in contrast to relational databases, which often encounter challenges in adjusting scale.
  • Flexibility: Unlike relational databases, NoSQL DBMS doesn't demand the same rigid structure, allowing for greater adaptability in accommodating various data types. This versatility suits dynamic web applications where data models frequently evolve.
  • Accessible Query Functions: NoSQL databases commonly employ straightforward API calls, simplifying data retrieval and manipulation for developers. Additionally, they facilitate user-friendly querying through language-agnostic interfaces like GraphQL or SQL queries.
  • Cost-Effectiveness: Typically demanding fewer hardware resources than relational counterparts, NoSQL databases in DBMS often adopt pay-as-you-go pricing models, offering cost-efficient solutions for businesses seeking performance without inflated expenses.
  • High Availability & Performance: Engineered with replication and distributed architectures in focus, NoSQL systems typically deliver heightened availability and performance compared to traditional setups. This makes them optimal for mission-critical applications prioritizing uptime and scalability.

Benefits of Using NoSQL Databases

Here are the benefits of utilizing NoSQL Databases;

  • Flexibility: NoSQL data modeling tools offer adaptable schemas, facilitating easy database modifications without prolonged migration processes. This proves advantageous in applications demanding swift development or facing uncertain or rapidly evolving data requirements.
  • High Performance: Engineered for scalability, NoSQL databases deliver optimized performance through horizontal scaling and sharding. Developers can swiftly expand their solutions to accommodate rising user and customer demands.
  • Distributed Architecture: NoSQL database management system distributes data across multiple nodes in a cluster, enhancing availability and fault tolerance. This ensures uninterrupted application operation even if individual nodes experience hardware failures or other disruptions.
  • Low Operational Costs: Unlike traditional relational databases, NoSQL databases don't entail intricate setup and configuration procedures, resulting in substantial cost savings over time. Moreover, they support cloud-native operations, further reducing expenses associated with hosting applications on dedicated servers or virtual machines.
  • Scalable Storage Capacity: Employing distributed storage techniques like shards, NoSQL database software facilitates efficient scaling of storage capacity without compromising performance. This renders them suitable for Big Data projects requiring extensive data storage capabilities while maintaining rapid query response times.

How to choose the best NoSQL Databases?

Selecting the optimal NoSQL database for your application is a critical decision with implications for scalability, performance, and functionality. Here are key factors to weigh when making this choice;

  1. Data model: Assess the data type and structure required for your application. NoSQL in DBMS offer various models, including document-oriented (e.g., MongoDB), key-value (e.g., Redis), column-family (e.g., Cassandra), or graph (e.g., Neo4j). Opt for a database compatible with your application's data model.
  2. Scalability: Consider your application's projected growth and the database's scalability potential, whether horizontally or vertically. NoSQL DBMS typically excel in horizontal scaling, so prioritize options capable of distributing data across multiple nodes effortlessly.
  3. Performance: Evaluate your application's performance demands, encompassing metrics like read and write frequencies, response times, and data volume. Certain NoSQL databases, such as Cassandra or Redis, are tailored for low latency and high throughput scenarios.
  4. Availability and reliability: Assess your application's uptime and reliability prerequisites. Databases like Cassandra and Riak offer distributed data storage and automated failover mechanisms, ensuring robust availability and reliability.
  5. Consistency: Gauge your application's consistency needs, considering options like eventual consistency or strong consistency provided by NoSQL databases. Select a database aligning with your desired consistency level.
  6. Cost: Factor in the expenses associated with database software, hardware, and ongoing maintenance. While some NoSQL database open source like MongoDB are free, other NoSQL software like Couchbase and Aerospike are commercial with licensing requirements.
  7. Community and ecosystem: Evaluate the database community's size, activity, and support resources, along with the availability of documentation and third-party tools. A vibrant ecosystem and robust support can enhance development and troubleshooting processes.

10 Best NoSQL Databases Comparison

Here is a list of 10 best database NoSQL with their specifications and price table;

10 Best NoSQL Databases Comparison
Softwares Features NoSQL Databases Pricing
TIMi Ad hoc Analysis, Data Capture and Transfer, Data Mining, Predictive Analytics Price On Request
MongoDB Data Replication, Data Storage Management, Real Time Data, Third-Party Integrations Starts at $57/month
ScaleGrid Data Replication, Data Storage Management, Real-Time Monitoring, Third-Party Integrations Starts at $10/month
SolarWinds Database Performance Monitor Data Storage Management, Real-Time Monitoring, Relational Database Management, Reporting & Statistics Price On Request
BangDB Data Discovery, Data Visualization, Predictive Analytics Starts at $279/month
Redis Automatic Backup, Data Replication, Real-Time Monitoring, Third-Party Integrations Starts at $7/month
Amazon DynamoDB Data Migration, Data Replication, Mobile Access, Performance Analysis Free
Apache Cassandra Data Replication, Multiple Programming Languages Free
Riak Data Recovery, Document Database, Full Text Search, Real-Time Analytics Starts at $5000/feature
Cache Audit Trail, Data Recovery, Performance Testing, Security Auditing Free

How do we rank and review the Best NoSQL Databases for you?

We ranked and reviewed the best database NoSQL by carefully considering various factors to ensure we provide you with the most relevant and helpful information. We assessed features such as scalability, performance, data model support, availability, reliability, consistency, cost-effectiveness, and community support. By evaluating these aspects, we aimed to present you with a complete overview, helping you make informed decisions based on your specific needs and preferences.

Author: Amit Singh

Still got Questions on your mind?

Get answered by real users or software experts

20,000+ Software Listed 20,000+ Software Listed

Best Price Guaranteed Best Price Guaranteed

Free Expert Consultation Free Expert Consultation

2M+ Happy Customers 2M+ Happy Customers