Hire NoSQL Developers
NoSQL databases are the ones that use different formats to store data like graphical, columnar, or anything other than the tabular format, unlike relational or SQL databases. NoSQL databases are usually used in big data applications and provide simplicity and ease of accessing data when compared to the SQL format. The use of NoSQL databases is increasing every day as developers find it user-friendly. The fact that it can be used not only for NoSQL query languages but can also support SQL-like query languages adds up to all the reasons why it is preferred over relational databases.
A NoSQL database makes it worthwhile as it is easy to use and understand. Its simplicity drops to levels that make it unchallenging for a beginner developer. NoSQL databases have a simpler design layout and the data structures used are considered to be more flexible when compared to relational databases and hence speed up the process. While NoSQL databases seem to be the perfect fit, they have their drawbacks like they use low-level query languages or they are newer than relational databases and hence are a lot less stable and lack functionalities.
Node: A node is a database that contains information about users and serves the purpose of local storage and acts as a path for bigger file storage.
Cluster: A cluster is nothing but a set of nodes.
Sharding: It is a method of partitioning the database. Sharding is required if the data to be stored is too vast for a single database.
Replication: Replication is the copying of data into multiple nodes or servers so that it is available in case one of the nodes fails.
ACID: It stands for Atomicity, Consistency, Isolation, and Durability. These are a particular set of database transactions that are meant to retain data in case of power failures, errors, or any such mishap.
CAP: It stands for Consistency, Availability, Partition tolerance.
BASE: Basically Available – The system will be available in the state of power loss; Soft-state – The state of data could change; Eventual Consistency: The data becomes consistent eventually.
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Differences between SQL database and NoSQL database
- SQL databases are categorized as relational databases (RDBMS) while NoSQL databases come under non-relational databases.
- SQL databases have a fixed or pre-defined schema and the data has to follow the same format while NoSQL databases have a dynamic schema and the data can be in graphical, columnar, or documental format.
- SQL databases are not meant for hierarchical storage while NoSQL databases are a perfect fit for hierarchical storage.
- SQL databases follow ACID (Atomicity, Consistency, Isolation, and Durability) property while NoSQL databases follow CAP (Consistency, Availability, Partition, Tolerance) property.
- SQL databases can be used for complex queries while NoSQL is not suitable for complex queries.
- SQL databases are usually not used for large databases because of their complexity while NoSQL databases are best suited in large database scenarios.
Advantages and Disadvantages of NoSQL Databases
- NoSQL databases can handle gigantic amounts of data.
- They are horizontally scalable, which is easy to implement.
- Due to replication, data is usually available even in power failures.
- NoSQL databases are easy to install in cheap hardware, which makes them economical.
- Most of the NoSQL databases have auto-caching capability, which means they store frequently used data without forming a separate cache layer.
- NoSQL databases do not support ACID properties.
- As they do not support ACID properties, developers have to build their code, which leads to system complexity.
- GUI tools are not available.
- NoSQL databases are open source, which means there is less reliability for a database. Two databases are mostly never the same.
- As NoSQL databases store a large amount of data, they result in a large document size.
Types of NoSQL Databases
1. Document-based: A document database stores data in JSON format. A document database is usually preferred by developers as they can edit the document structure according to their needs. It is likely for a structure to require rework due to changes in the respective project.
Example: MongoDB, CouchDB.
2. Columnar: Unlike relational databases which store data in rows, NoSQL databases store data in columnar format, which makes it easier for the user to read, work, and edit data without creating extra memory. The columnar format is usually used in the case of analysis.
Example: HBase, Big Table.
3. Graph Database: The graphical format works on the concept of correlation between data elements. Graphical databases are quite straightforward but consist of two elements, viz. the node and the edge. The node contains the actual information while the edge delivers the relationship between the nodes.
Example: RedisGraph, OrientDB.
4. Key-Value Store: Key-value store is the simplest way of storing data. The data exists in a pair format where we have a particular attribute and its assigned value. For example, the attribute can be instruments and its respective value can be a guitar. Such a format is usually used in shopping malls, for user profiles, etc.
Applications of NoSQL Databases
NoSQL databases cover a vast area of applications in the industry. Some of them are mentioned below.
- Mobile Applications: With the rapidly evolving smartphone era, there are a ton of applications that require large amounts of data to be stored. NoSQL databases play an important role in saving the data in schemaless and hence the apps can be updated without making major changes in the database.
- Metadata: Many organizations require a database with branched information like books and their respective author, serial number, price, etc. All this data needs to be handy and available any minute and hence NoSQL databases come in handy as they require significantly less response time.
- Internet of Things (IOT): It is impossible to imagine a world without the Internet and everything is connected through it. The Internet is taking over the smallest things and making life easier. Even the slightest help that we get from it generates data and data needs to be preserved. Systems in huge warehouses or applications for maintaining the record of who visits your society regularly will both generate huge chunks of data; and for all this, we need NoSQL databases.
- Thorough knowledge of NoSQL is required
- Should have a strong understanding of NoSQL concepts
- Should have a basic understanding of various platforms like Linux, Mac OS, and Windows
- Good knowledge in Node.js Advanced Modules like Cluster and Multitasking
- Proficient in writing readable, maintainable, performant object-oriented Java, Python, and Ruby.
- Proficient in frameworks like Redux, Express.js, and Flux
- Should have hands-on experience with React.js
- Thorough knowledge of Node.js standard libraries
- Should have a strong understanding of MERN stack
- Should have a clear understanding of frontend technologies like HTML5 and CSS3
- Should be able to install, configure, and manage databases
- Should have good knowledge of using all the hooks
- Experience with modularization and writing reusable code
- Should be able to review codes and mentor others as well
- Should be good at troubleshooting with all the errors related to NoSQL databases
- Should have good at writing REST API in Express.js
- Should have a thorough knowledge of relational and non-relational databases
- Knowledge of HTML, XML, JSON, and JQuery is desired
- Knowledge of PostgreSQL is desired
- Should be able to manage the replication process
- Experience with AWS or Azure is an added advantage
- Experience with Docker is an added advantage
- Should be able to design and maintain large and complex databases
- Experience in data migration strategies
- Should be able to handle browser compatibility issues
- Knowledge of GraphQL
- Knowledge of dbdocs and dbdigram for database diagrams
- Ability to work on various backend stack such as Express.js and Node.js
- Ability to work on various frontend stacks such as Angular and HTML
- Ability to work with a dynamic team and act as a responsible individual
- Ability to work in a challenging environment and deliver quality work
- Ability to deliver high-quality, secure, tested, documented, and performant code
- Work closely with web designers and programmers to deliver results in their best form
- Should have experience with SCRUM and must be well acquainted with agile development
- The candidate’s skill must meet the current coding standards.
- The candidate should understand the requirements of a client.
- The candidate should be a self-starter.
- The candidate must be able to keep a light mood, enjoy, and accomplish work within respective deadlines.
- The candidate must possess impeccable communication skills and be fluent in English.
- Familiar with Data Visualization
- Outstanding time management skills
- Attention to detail
- Exceptional analytical and problem-solving skills
Salaries for NoSQL developers or any other occupation, in general, vary according to their position, ongoing trends in the industry, required skill set, and various other factors. According to research, the average salary of a full-stack developer stands around USD 105,000 per year. There are various factors like job title, location, and experience that determine an individual’s salary.
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