Your Node.js setup is a step away from gaining it’s full advantage, unless you know how to put it to use in combination with NoSQL databases. With Node.js NoSQL databases, your developers can reduce application development time drastically, owing to no fixed schema and fast querying abilities that come with it.
In this guide, we’ll help you know the advantages of setting up your own Node.js NoSQL embedded database environment. We’ll show you some real-life applications and industries that use Node.js NoSQL symphony to power their own applications.
Table of Contents
- What is NoSQL?
- What is Node.js?
- What are the Benefits of Combining Node.js NoSQL?
- What are the Applications of Node.js NoSQL?
What is NoSQL?
NoSQL is a database management approach that supports a wide range of data models such as key-value, document, columnar, and graph formats. In general, a NoSQL database is non-relational, distributed, flexible, and scalable.
Other common features of a NoSQL database include the absence of a database schema, data grouping, replication support, and eventual consistency, as opposed to relational and SQL databases’ typical ACID (atomicity, consistency, isolation, and durability) transaction consistency. Many NoSQL database management systems are open source as well.
To learn more about NoSQL databases, and their types visit our comprehensive guide here- NoSQL Databases and Its Types: A Comprehensive Guide 101. If you would like to learn more about the difference between SQL and NoSQL databases and their applications, do check out our blog- SQL vs NoSQL Databases: 5 Critical Differences.
What is Node.js?
Node.js supports all types of databases, including relational and NoSQL databases. However, Node.js NoSQL databases are the best match for most applications and company-wide use-cases. To use Node.js to access a database, you must first install drivers for the required database your users intend to use.
Simplify ETL & Data Analysis with Hevo’s No-Code Data Pipeline
Hevo Data, a No-code Data Pipeline, helps load data from any Data Source such as Databases, SaaS applications, Cloud Storage, SDKs, and Streaming Services and simplifies the ETL process. It supports 100+ Data Sources like MongoDB, Cassandra and includes 40+ Free Sources.
It is a 3-step process by just selecting the data source, providing valid credentials, and choosing the destination. Hevo loads the data onto the desired Data Warehouse/Destination like Google BigQuery, Snowflake, Amazon Redshift, and Firebolt and enriches the data transforming it into an analysis-ready form without having to write a single line of code.
Get Started with Hevo for Free
Check out why Hevo is the best:
- Minimal Learning: Hevo, with its simple and interactive UI, is extremely simple for new customers to work on and perform operations.
- Hevo Is Built To Scale: As the number of sources and the volume of your data grows, Hevo scales horizontally, handling millions of records per minute with very little latency.
- Secure: Hevo has a fault-tolerant architecture that ensures that the data is handled securely and consistently with zero data loss.
- Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to the destination schema.
- Incremental Data Load: Hevo allows the transfer of data that has been modified in real-time. This ensures efficient utilization of bandwidth on both ends.
- Live Support: Our team is available round the clock to extend exceptional support to its customers through Chat, Email, and Support Calls.
- Live Monitoring: Hevo allows you to monitor the data flow and check where your data is at a particular point in time.
Hevo also helps you to start moving data from 100+ sources to your data warehouse in real-time with no code for the price of $249/month!Sign up here for a 14-Day Free Trial!
What are the Benefits of Combining Node.js NoSQL?
The primary goal of someone using a non-structured database or NoSQL is to store data in documents. NoSQL is a distributed database that supports ad-hoc queries, real-time integration, and efficient indexing. Furthermore, it is open-source and ideal for rapidly changing data. It also provides data validation on the server.
For all of these reasons, Node.js NoSQL is a great choice. For high-performance and working with enormous volumes of unstructured data, Node.js NoSQL is a fantastic match. Its rising popularity stems from the fact that it allows programmers to create both server-side and client-side code.
What are the Applications of Node.js NoSQL?
Using microservice design and containerization, you can build apps that expand with your business using Node.js NoSQL symphony. Here are 6 well-known applications that use Node.js NoSQL functionality.
Netflix is the world’s largest provider of streaming media and video-on-demand content, including movies and TV shows. More than 190 countries offer the service. Netflix spread into film and television production, as well as online distribution and original programming production, back in 2013.
Netflix already had a sustainable and full-featured application, and they set out to make it more usable and lightweight with lowering complexities, and specifically power user interfaces, all while leveraging their existing infrastructure. That’s why they chose Node.js NoSQL embedded database architecture for the entire user interface. Because the Node.js runtime has proven to be so efficient, the Netflix team is shifting data access layers to it.
Netflix has 33 million subscribers in over 40 countries. SimpleDB, HBase, and Cassandra are the three NoSQL tools used by Netflix in their Node.js NoSQL architecture. Netflix employs HBase due to its close integration with Hadoop. The ability to integrate real-time HBase queries to batch map-reduce Hadoop jobs while using HDFS as a clustered file platform is the most significant advantage of using HBase.
Cassandra is used by Netflix because of its scalability, lack of node failures, and cross-regional deployments. SimpleDB is extremely resilient, with write operation and auto replication across availability zones within a region. Beyond a simple key/value interface, it also has some really useful query and data format features like various criteria per row key, batch operations, consistent reads, and so on.
LinkedIn continues to be a popular business-oriented social network and a useful tool for finding work. LinkedIn has a global user base of 467 million people from over 200 countries.
LinkedIn chose an asynchronous event system to substitute their synchronous Ruby on Rails mobile app, which required clients to make many calls for a single page. As a result, they chose the Node.js NoSQL database because of its performance, scalability, and efficiency. And Node.js NoSQL database delivered on its promises.
Espresso is the fault-tolerant, distributed NoSQL database that supports roughly 30 LinkedIn applications and integrates the LinkedIn database. Member profiles, InMail (a member-to-member message system), portions of the homepage, and mobile applications are among them.
Uber is a multinational transportation firm based in San Francisco, California. Every six months, the company doubles in growth and now operates in six continents, 68 countries, and 633 cities throughout the world.
Uber has already been one of the well-known alternatives to a regular cab since its introduction in 2012. As a result, Uber needs a platform like Node.js NoSQL embedded database that will remain operational and can handle large amounts of data regardless of the circumstances.
Their software connects drivers and riders, and therefore it must analyze a massive amount of data on an ever-increasing scale. Due to its capacity to keep up with the pace of Uber’s vast business needs and better data processing capabilities, Uber chose Node.js NoSQL embedded database architecture to create its massive matching system.
Uber’s decision to use NoSQL is based on the type of huge data they deal with. NoSQL can manage large amounts of data, supports cloud computing, and is well-suited for usage with business intelligence and data analytics systems. Uber benefits from NoSQL’s Big Data search, capture, storage, transfer, analysis, and sharing capabilities. This is a database that does not demand the use of predefined schemas.
PayPal is one of the most popular and well-known payment services in the world. It allows you to pay, send money, and accept payments. The technology allows users to connect online without disclosing their debit or credit card information. PayPal has about 200 million active accounts as of November 2017.
Couchbase helped the organization manage over 1 billion documents and 10 terabytes of data by 2014. PayPal extended Couchbase’s use into user data analytics, processing millions of updates per minute using Kafka and Hadoop.
Internet of Things
Another common use case of Node.js NoSQL databases is in the Internet of Things (IoT). Internet of Things, or IoT, is a network of electronic devices such as sensors, beacons, actuators, and other objects that can communicate and share data. IoT systems often send data from devices to servers, which then send it to applications, for processing and then displaying it to users.
The Internet of Things may include hundreds of such devices, making it difficult to administer requests and data transfers.
When the demand for IoT skyrocketed, the capacity to manage multiple concurrent requests and events broadcast by hundreds or even millions of network devices came out as Node.js NoSQL’ most evident advantage. Because of their event-driven architecture and asynchronous processing, Node.js NoSQL database web servers are unaffected by the avalanche of requests and data arriving from IoT devices.
As a result, Node.js NoSQL embedded databases are good for creating application layers between such devices and the databases that hold data generated by them. The Node.js NoSQL ecosystem’s maturity for IoT explains why it’s been used extensively in so many IoT solutions. Skycatch, for example, employed Node.js NoSQL-embedded database in its specialized drones that capture images of construction sites and convert them into 3D models and the necessary data to get construction projects off the ground.
Any online communication technology that allows live broadcasting of text, video, or audio communications from a sender to a receiver is known as real-time chat. Instant messaging (IM) or Internet Relay Chat (IRC) technology can be used to create one-to-one or one-to-many group discussions in real-time.
Node.js NoSQL embedded database architecture includes all of the essential features for creating real-time conversations of any complexity. Node.js makes server-side events and push notifications, which are common in instant messaging and other real-time applications.
The WebSockets protocol, which allows for a quick two-way flow of messages between both the client and the server over a single open connection, works well with Node.js NoSQL event-based architecture. WebSockets are well supported in Node, due to libraries like socket.io, ws, and websocket-node, that allow you to quickly develop fast real-time chats and applications.
Ad-hoc queries, real-time integration, and quick indexing are all supported by NoSQL, a distributed database. It’s also free and open-source, making it excellent for data that changes frequently. Node.js is certainly quick, and it allows for real-time analysis of a wide variety of data. It allows for code sharing and acts like a proxy server for real-time data streaming. Because of all such reasons, Node.js NoSQL embedded databases are of high utility and benefit to your organization.
If you use NoSQL databases on a frequent basis for heavy applications and workloads, chances are having a backup for your data can be of immense benefit. While there are many ways to safely store and analyze your data, one easy way is to use Hevo’s No-Code ETL pipelines to transfer and transform your existing data.
Hevo Data is the right choice for you! It will help simplify the ETL and management process of both the data sources and the data destinations.
Hevo with its strong integration with 100+ sources & BI tools allows you to not only export Data from your desired Data sources & load it to the destination of your choice, but also transform & enrich your Data to make it analysis-ready so that you can focus on your key business needs and perform insightful analysis using BI tools.Visit our Website to Explore Hevo
Want to take Hevo for a spin? Sign Up for a 14-day free trial and experience the feature-rich Hevo suite first hand.
Share your experience of learning about our curated list of the 6 best Node.js NoSQL embedded database applications in the comments section below!