Best Web Development Tech Stack For 2021- Front-end, Backend & Database

 

When it comes to developing a successful digital software, selection of the right tech stack plays a vital role. But, why? Developing a web solution is not just about designing a great UI and convenient UX, but it is also about designing a stable, secure and maintainable product that will scale your business. Here’s the right technology may help. If you are thinking to build a web solution then having a general understanding of the web development stack is necessary as it helps you to effectively reach your goals. So here we’ve curated some tech stack and what tools you can use to build your web products.

What Is Web Development Tech Stack?

It is a backbone of a smooth-running website or web application.  It establishes the code and execution of web app development. So while building a web solution one must focus on the tech stacks. Simply, tech stack consolidates all the programming languages, libraries, structures, tools, software and so on important for developing a seamless website and web app. You might think that a technology stack is a combination of software tolls and programming languages that are used to bring your web or mobile applications to implementation. Shortly, web and mobile apps consist of a frontend and backend, that are client-facing apps and hidden part that’s on the server, respectively.

Every layer of app is built on the one below, which forms a stack. This makes web stack technologies dependent on each other. Let us see the technology stack for each layer.

You can know the considerations to choose the technology for Web Application at- Effective Considerations to choose the technology for Web Application

Best Web Development Stack In 2021-

Frontend Web Development Technology Stack-

1. Angular-

Introduced by Google in 2009, Angular is a best frontend web app development framework which depends on TypeScript and used by a huge community of designers. It is a single page app framework meaning that angular is used to build single page web apps or SPAs. Since the start of 2018, web app development with Angular has helped the community grow 50% compared to 2018. The advanced Angular expects you to know about Typescript language and some of the different features to the language that Javascript needs. Here are some of the pros and cons of Angular. 

Know the features of Angular 11 at- What’s New In Angular 11?

Pros–

• Robust ecosystem
• Huge community
• Easy two way data binding
• Iterative development support
• Simple to work with HTML templates
• Dependency injection
• Component based architecture

Cons–

• Need more memory
• Hierarchical tree-like structure
• Steep learning curve

2. VueJS-

It is going to be one of the top front-end technology stack for 2021. VueJS is a lot simple for those who know HTML, CSS and Javascript. It is simple to execute and light without any numerous conditions. Vue.js is such a hybrid among heavier and bigger systems like Angular. If you have an application, Vue is simple to coordinate right in without doing significant reworking or code refactoring. With VueJS you’ll get all the main features you need like data binding. Here are some of the pros and cons of VueJS.

Know the amazing new features of VueJS 3.0 at- What’s New In Vuejs 3.0 ?

Pros-

• Reactive two-way data binding
• Great for unit testing
• Huge community support
• Virtual DOM rendering and performance
• Good code readability
• Efficient component reusability
• Concise documentation

Cons-

• Limited resources
• Language barrier
• Lack of support for large-scale projects
• Risk of over flexibility
• Reactive complexity

3. React-

It is a Javascript library which joins the speed of Javascript and uses another method of delivering website pages, making them unique and receptive to client input. The thing generally changed the Facebook approach to deal with development. After the library was delivered, it ended up being incredibly famous as a result of its progressive way to deal with  programming UIs setting the long-going Comparison Between Angular vs React vs Vue. These days, ReactJS is highly used open-source web based technology. It helps to make great web apps that need minimal exertion and coding. Main goal of ReactJS is to create user interfaces which improve the app speed. 

Pros-

• Simple to use
• Reusable components
• Open-source community
• SEO friendly
• Dynamic web app development is easy

Cons-

• JSX barrier
• Poor documentation

Backend Technology Stack-

1. Laravel-

It is a best tech stack to build websites because of rich syntax and extraordinary environment of various toolsets that allows you to effectively and rapidly build the solutions using PHP. App scaling, zero downtime organization, 0Auth2 execution, membership billing is implicit natively with Laravel.

Pros-

• Fast development cycle
• Supports prominent cache backends
• Easy authentication
• Automatic testing
• Active Record Implementation
• Artisan – Laravel’s dedicated tool
• Configuration error and exception handling
• Queue Management
• IoC Container
• Lots of packages and resources
• Integrates with mail services

Cons-

• Composer is not enough strong
• Issues with some upgrades
• Lack of inbuilt support

2. Python-

Established in 1991, it is a high-level, well-interpreted and dynamic top web development language which focuses on code readability. Syntax of Python is easier than C++ or Java which helps developers to code in a few steps. Mainly it has a large and comprehensive standard library that has an automated program management system. Because of its adaptable features and less code, most of the software development companies prefers Python over other languages.

Know the amazing features of python 3.10 at- Must Know Features Of Python 3.10

Pros-

• Simple to read, learn and write
• Extensive library support
• Improved productivity
• Enhanced control capabilities
• Great web service tool
• Object oriented designs and modules

Cons-

• Weak in mobile computing
• Not memory efficient
• Slow in speed
• Database access layer is underdeveloped

3. ASP.NET-

ASP.NET Core is an open-source variant of ASP.NET. It is a popular web development framework for developing web apps on .NET stage. ASP.NET is a lot rapid to develop than the available frameworks. It can be efficiently developed on Linux, Docker, macOS and windows, also supports various lifecycle options to meet specific requirements.

Pros-

• Reduces development time
• Cross-platform migration
• Customizability and extensibility
• Allows for separation of concern 
• Security
• Out-of-the-box feature list
• Manageability

Cons-

• Lack of proper documentation
• Porting ASP app is expensive

Databases-

1. AWS-

Released in 2006, it is a Cloud IaaS stage which gives computing power, information stockpiling and other IT solutions utilities for organizations. Using AWS, amazon has made it feasible for organizations to dispose of the need to assemble and manage private, on-premise frameworks. Clients can compensate for what they require, make a more adaptable model without management overhead to use a similar architecture on site. Aws is more safe than organization using its own site or data. 

Pros-

• Simple to use
• Reliable and highly secure
• Flexible
• Auto scaling
• Provides agility and speed
• Elastic load balancing

2. MongoDB-

It is a popular NoSQL databases which stores data in BSON. Working with MongoDB NoSQL database is simpler than working with any relational database. In MongoDB there is no tables. All data is stored in JSON format. In JSON, you characterize a one-of-a-kind key with its value. Those key-esteem sets are put away in an archive, that so put away in a collection. Collection in MongoDB can have few records and such archives can have key-esteem sets.

Pros-

• It is free to use
• Uses internal memory for storage
• easy to set-up and install
• No need of complex joins
• Doesn’t need object mapping

Wrap Up-

These are some of the well known and best tech stack to use in 2021. Selecting the appropriate technology stack is a challenging task and hugely affects the app development process. Are you thinking of developing the best website or web app? Then you must know these popular tech stack. You can consult with Solace experts for choosing the best tech stack for effective web solution development. Connect with Solace and get a free quote for a successful web development for your business as per business needs. You can also hire angular developer, firebase developers, laravel developers of solace team on a flexible basis. We will be happy to help you.

MongoDB Vs MySQL: Which one to choose?

Selecting the database for modern applications has been a big challenge for some. Particularly after the arrival of relational DBMSs like PostgreSQL, MS SQL, and MySQL that have been dominant in the recent past.

Out of this, MySQL has consistently been a go-to option for many companies that are strictly searching for a relational database. However, with growing variety and massive volumes of data, the non-relational databases like MongoDB have risen as a solution for many enterprises’ need for fluid data.

The advent of the new non-relational database has given rise to the competition among MongoDB vs MySQL. This competition makes it difficult for entrepreneurs to select between the two. Here we will compare both the databases based on several factors that will give you insights about which database is better. Additionally, we will reveal when to use MongoDB or MySQL.

What is MySQL?

As an open source RDBMS, (relational database management system), MySQL has increased popularity throughout the years. It was developed by MySQL AB and now owned by Oracle Corporation. Based on requirements, the users can pre-define the database schema and establish rules, capable of governing the connection between relevant fields in the tables.

MySQL, like other relational DBMSs, uses SQL (structured query language) to get access to database and keeps the data stored in tables. For rolling out any change in the schema, a migration procedure is essential, that can reduce the performance of the application significantly. It can likewise take the database to the offline mode.

What is MongoDB?

MongoDB was developed by MongoDB, Inc and it is a well known non-relational database. Data is stored in this type of DBMS as documents in a form called BSON (a type of binary representation). The query access, the MongoDB query language is used to store the related data. The fields may be different for each document, and you should not declare the document structure to the systems. These documents are self-explanatory in nature.

Also know- All you need to know about MongoDB 3.2.

If you have to add another field to the document, you can create it, without rolling out any change to other documents present in the collection. The central system catalog doesn’t require any update and you need not take the system to the offline mode. You can use schema validation optionally to enforce the control of data over each one of the collections. The document data model of MongoDB maps objects in the application mode naturally. Subsequently, developers find it simple to master and use. The users can represent the hierarchical associations to the store arrays flawlessly, with other complicated structures.

MongoDB vs MySQL:

MongoDB vs MySQL

Both MongoDB and MySQL have gained popularity as open-source database software. However, each of them is suitable for a particular situation. Let us see the difference between those two according to different aspects.

1. Database Structure-

In MySQL, the data value is stored in the tables by the MySQL database structure where SQL is used to access them. Schema is used to define the database structure. The prime requirement of the schema is that the rows have a similar structure inside the table. It also requires its values to be represented by specific data types. 

Though, in the MongoDB database, the data is stored in JSON-like documents that come in varied structures. To increase the query speed, it stores the related data sets together. These sets are then accessed by using the MongoDB query language.

The database is schema-free, which implies that the mobile application developers don’t need to define any document structures for creating the documents.

Read more at-

http://b.link/mongodb80-src_blogger

Why you should learn MongoDB in 2019?

What Is MongoDB?

MongoDB is different from traditional relational databases. It is a document-oriented, NoSQL database. MongoDB stores data in JSON-like documents. This allows users to work with different types of data. One of the best things about this is that you are not forced to work with the same fields or data structures forever. There are more than 40 million downloads of the software and GitHub has over 35,000 MongoDB repositories. Let us see why MongoDB is growing so rapidly.

Why MongoDB?

MongoDB is a NoSQL database, so it has many reasons to learn it. And due to these reasons MongoDB is popular worldwide.

1. Aggregation Framework-

We can use it in a proficient way by MongoDB. MapReduce is a process in which large datasets will process and generate results with the help of parallel and distributed algorithms on clusters. It can be used for batch processing of data and for aggregation operations. It consists of two sets of operations-  Map() and Reduce().

• Map()- It performs operations like filtering the data and then performing sorting on that dataset.
• Reduce()- It performs the operation of summarizing all the data after the map() operation.

2. BSON format-

BSON stands for Binary JSON. It is binary-encoded serialization of JSON similar to documents. MOngoDB uses it to store documents in collections. It is JSON-like storage a format. Here we can add data types like date and binary (JSON doesn’t support). Here BSON format uses_id as a primary key. As stated that _id is being used as a primary key so it is having a unique value associated with itself called as ObjectId. Another advantage of using BSON format is that it enables to internally index and map document properties. It has increased read/write throughput of MongoDB because it is designed to be more efficient in size and speed.

3. Sharding-

The serious issue with any web or mobile application is scaling. To resolve this issue, MongoDB has a sharding feature. In this method data is distributed across multiple machines. Horizontal scalability is being provided with the sharding. It is a complicated process and is done with the help of several shards. Each shard holds some part of data and functions as a separate database. A single logical database is formed by merging all the shards together. Operations here are performed by query routers.

4. Ad hoc queries-

MongoDB supports range query, regular expression and many more types of searches. Queries include user-defined Javascript functions and it can also return specific fields from the documents. MongoDB supports ad hoc queries with the use of unique query language or by indexing BSON documents. Below example shows the difference between SQL SELECT query and resembling query:

E.g. Fetching all records of student table with student name like ABC.

• SQL Statement – SELECT * FROM Students WHERE stud_name LIKE ‘%ABC%’;
• MongoDB Query – db.Students.find({stud_name:/ABC/ });

5. Schema-Less-

It is much more flexible than the traditional database because it is a schema-less database. Because of this, the data does not require much to set up for itself and reduced friction with OOP. If you want to save an object, then just serialize it to JSON and send it to MongoDB.

6. Capped Collections-

It has a fixed size of collections in it, so it supports capped collection. It maintains the insertion order. Once the limit is reached it starts behaving like a circular queue.

Example – Limiting our capped collection to 2MB

• db.createCollection(’logs’, {capped: true, size: 2097152})

7. Indexing-

Indexes are created to improve the performance of search. We can index any field in MongoDB document either primary or secondary. Because of this, the database engine can efficiently resolve queries.

8. File storage-

It is used as a file storing system, which avoids load imbalance and also data replication. This function performed with the help of Grid File System, it is included in drivers which stores files.

9. Replication-

Replication is being provided by distributing data over different machines. It can have one primary node and more than one secondary nodes in it (replica set). This set acts like a master-slave. Here, a master can perform read and write and a slave copies data from a master as a backup only for a read operation.

10. MongoDB Management Service (MMS)-

MongoDB has a very powerful feature of MMS, because of which we can track databases or machines and if needed we can backup our data. It also tracks hardware metrics for managing the deployment. It gives a feature of custom alert. Using this feature, we can discover issues before our MongoDB instance will affect.

To know more about new version of MongoDB, just go through our blog- All you need to know about MongoDB 3.2.

Benefits of MongoDB-

1. Free to use-

It is free to use. There’s even a free version in the cloud with the free trial version of MongoDB Atlas. The software is also transparent and easy to modify. This gives developers the power to make it their own based on their needs.

2. Load Balancing-

If you have a large amount of data that you need to process then you can distribute the traffic amongst different machines with the help of load balancing. It helps the user to continue working even if one of the nodes/machines has stopped working due to some reason. The other nodes will work and your processing will not stop.

3. Flexibility-

It does not require data structures, that are unified in nature across all the objects that are being used. This makes it easier to use. With the help of dynamic schema, it is very easy to use MongoDB.

4. Speed-

MongoDB can fast and easy process the data. But this is valid up to your data is in document format. We can say that it’s speed automatically increases as it is handling a large amount of unstructured data within seconds.

Know the comparison of Firebase, MongoDB and AWS at- Three Modern Technologies Software Stacks: Firebase vs. AWS vs. MongoDB.

Are you looking to develop software with MongoDB? Then you are at the right place. Solace team is there to help you. Experts at solace believe in the effectiveness of using MongoDB. Develop your best software with solace that means to the success that your business deserves. Contact us for any software development.

All you need to know about MongoDB 3.2

What is MongoDB?

MongoDB is an open-source document database that provides high performance, high availability, and also automatic scaling. An open-source database was released in 2009. Now it is available under the Free Software Foundation’s GNU AGPL Version 3.0 commercial license terms.

A record in MongoDB is a document, which is a data structure composed of field and value pairs. MongoDB documents are like JSON objects. The values of fields may include other documents, arrays, and also with arrays of documents. If you are new to MangoDB, you can get the detailed comparison between Firebase, AWS and MongoDB at- Three Modern Technologies Software Stacks: Firebase vs. AWS vs. MongoDB.

The advantages of using documents are:

• Documents (i.e. objects) correspond to native data types in many programming languages.
• Embedded documents and arrays reduce need for expensive joins.
• Dynamic schema supports fluent polymorphism.

Key Features of MongoDB-

1. High Performance-

MongoDB provides high performance data persistence. In particular,

• Support for embedded data models reduces I/O activity on database system.
• Indexes support faster queries and can include keys from embedded documents and arrays.

2. Rich Query Language

MongoDB supports a rich query language to support read and write operations (CRUD) and also:

• Data Aggregation
• Text Search and Geospatial Queries.

3. High Availability-

A replica set is a group of MongoDB servers that maintain the same data set, providing redundancy and also increasing data availability.

MongoDB’s replication facility is known as replica set. It provides:

• automatic failover and
• data redundancy.

4. Horizontal Scalability-

MongoDB provides horizontal scalability as part of its core functionality:

• Sharding distributes data across a cluster of machines.
• Tag aware sharding allows for directing data to specific shards, such as to take into consideration the geographic distribution of the shards.

5. Support for multiple storage engine-

MongoDB supports multiple storage engines:

• WiredTiger Storage Engine (including support for Encryption at Rest)
• In-Memory Storage Engine and also
• MMAPv1 Storage Engine

In addition, MongoDB provides pluggable storage engine API that allows third parties to develop storage engines for MongoDB.

6. MongoDB CRUD Operation-

1. Create Operations-

Create or insert operations add new documents to a collection. If the collection does not currently exist, insert operations will create the collection. MongoDB provides some methods to insert documents into a collection. These methods are as follows-

• db.collection.insert()-

To insert a single document, pass a document to the method, and also to insert multiple documents, pass an array of documents to the method. The following example inserts a new document into the users collection.

db.users.insert(

   {

      name: “sue”,

      age: 19,

      status: “P”

   }

)

The following example inserts multiple documents into the users collection. Since the documents do not specify an _id field, MongoDB adds the _id field with an ObjectId value to each document. See Insert Behavior.

db.users.insert(

   [

     { name: “bob”, age: 42, status: “A”, },

     { name: “ahn”, age: 22, status: “A”, },

     { name: “xi”, age: 34, status: “D”, }

   ]

)

• db.collection.insertOne() New in version 3.2-

Method db.collection.insertOne() inserts a single document into a collection.

The following example inserts a new document into the users collection. The new document has three fields name, age, and status. Since the document does not specify an _id field, MongoDB adds the _id field with an ObjectId value to the new document.

db.users.insertOne(

   {

      name: “sue”,

      age: 19,

      status: “P”

   }

)

• db.collection.insertMany() New in version 3.2

db.collection.insertMany() inserts multiple documents into a collection.

db.users.insertMany(

   [

     { name: “bob”, age: 42, status: “A”, },

     { name: “ahn”, age: 22, status: “A”, },

     { name: “xi”, age: 34, status: “D”, }

   ]

)

2. Read Operation-

Read operations retrieves documents from a collection; i.e. queries a collection for documents. MongoDB provides the following methods to read documents from a collection:

• db.collection.find()

You can specify query filters or criteria that identify the documents to return.

db.users.find(

{ age: { $gt: 18 } },

{ name: 1, address: 1 }

) limit(5)

3. Update Operations- 

Update operations modify existing documents in a collection. MongoDB provides the following methods to update documents of a collection:

• db.collection.update()
• db.collection.updateOne() New in version 3.2
• db.collection.updateMany() New in version 3.2
• db.collection.replaceOne() New in version 3.2

In MongoDB, update operations target a single collection. All write operations in MongoDB are atomic on the level of a single document.

You can specify criteria, or filters that identify the documents to update. These filters use the same syntax as read operations.

For eg.,

db.users.update(

{ age : { $gt : 18 } },

{ $set : { status : “A” } },

{ multi : true }

)

4. Delete Operations- 

Delete operations remove documents from a collection. MongoDB provides the following methods to delete documents of a collection:

• db.collection.remove()
• db.collection.deleteOne() New in version 3.2
• db.collection.deleteMany() New in version 3.2

In MongoDB, delete operations target a single collection. All write operations in MongoDB are atomic on the level of a single document.

For eg. , db.users.update(

{ status : “D” }

)

7. Storage-

The storage engine is the primary component of MongoDB responsible for managing data. MongoDB provides a variety of storage engines. This allows you to choose the one most suited to your application. The journal is a log that helps the database recover in the event of a hard shutdown. There are several configurable options that allows the journal to strike a balance between performance and also reliability that works for your particular use case. For eg., GridFS is a versatile storage system suited for handling large files.

8. Authentication-

Authentication is the process of verifying the identity of a client. When access control, i.e. authorization, is enabled, MongoDB requires all clients to authenticate themselves in order to determine their access. Although authentication and authorization are closely connected, authentication is distinct from authorization. Authentication verifies the identity of a user; authorization determines the verified user’s access to resources and operations.

•  Use the mongo command-line authentication options (–username, –password, and –authenticationDatabase) when connecting to the mongod or mongos instance, or
• Connect first to the mongod or mongos instance, and then run the authenticate command or the db.auth() method against the authentication database.

9. Encryption- 

Transport Encryption-

You can use TLS/SSL (Transport Layer Security/Secure Sockets Layer) to encrypt all of MongoDB’s network traffic. TLS/SSL ensures that MongoDB network traffic is only readable by the intended client. There are two broad classes of approaches to encrypting data at rest with MongoDB: Application Level Encryption and Storage Encryption. You can use these solutions together or independently.

10. Auditing-

The auditing facility can write audit events to the console, syslog, a JSON file, or a BSON file.

Audit Events and Filter-

Once enabled, the auditing system can record the following operations:

• schema (DDL),
• replica set and sharded cluster,
• authentication and authorization, and
• CRUD operations (requires auditAuthorizationSuccess set to true).

Are you looking to develop software with MongoDB? Then you are at the right place. Solace team is there to help you. Experts at solace believe in the effectiveness of using MongoDB. Develop your best software with solace that means to the success that your business deserves. Contact us for any software development.