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.

Three Modern Technologies Software Stacks: Firebase vs. AWS vs. MongoDB

Read More

Technology is progressively updating day by day. So, modernizing software to be more cloud based can be the best solution to keep ahead in the industry. For that, you have two options, you can choose a way of using individual components like building blocks or you should choose a more turnkey, all in one solution. You can use a mix of two, likewise a hybrid cloud. There are three backend solutions that are top choices of developers- Google’s Firebase, Amazon Web Services(AWS), MongoDB. Also, all these three have different domains, different functionality and scale. To choose the best one among them, let us see, Firebase vs. AWS vs. MongoDB .

Firebase vs. AWS vs. MongoDB-

1. Firebase-

Firebase is a ready- to- use mobile and web application development solution by Google. It is a cloud server. Also, its services are good at starting stage. It is not well developed like AWS. Firebase allows developers to quickly spin up mobile app prototypes from scratch. Similarly, its extra features allows developers to grow and improve apps over time.

Features of Firebase-

• App messaging and push notifications.
• Insights and Analytics.
• It supports IOT.
• Real time database design and file storage.
• Server Management.
• Scaling and also Load balancing as demand increases.

Pros and Cons of Firebase-

Pros-

1. Ready-made API
2. Realtime data
3. Static File hosting
4. File storage with support of Google
5. traffic management service
6. Treat data as streams to build highly scalable applications

Cons-

1. Traditional relational data models are not applicable to NoSQL; therefore, your SQL chops will not transfer.
2. Limited query abilities due to data stream model
3. No on-premise installation

If you have a small team to set up, firebase will be the best choice than AWS setup. It doesn’t require skillful learning, so it is easy to use for those having less knowledge.

2. Amazon Web Services-

Amazon Web Services is a global cloud computing platform provided by Amazon. It provides combination of Infrastructure as a service(IaaS),  platform as a service(PaaS) and also packaged software as a service(SaaS) offering. Because of, it is a subsidiary of Amazon, it always maintains its quality. Instead of creating their own infrastructure to support internal systems and applications, high traffic businesses with more requirements can host their apps or sites with AWS, with extensive list of computing services.

Features and functions of AWS-

• Serverless components by AWS Lambda
• Sending transactional emails to a large list, with Amazon’s SES
• Storage and file sharing with Simple Storage Service(S3)
• Deploy software containers with Docker, then run and manage those containers with Amazon’s EC2 Container Service(ECS) and EC2 Container Registry (ECR).

Pros and Cons of AWS-

Pros-

1. Global reach and scalability
2. Eliminating Capacity Constraints & Mitigating Cost
3. Easy to use
4. No capacity limits
5. Provides speed and Agility
6. Secure and Reliable

Cons-

1. Requires technical support fee
2. General cloud computing issues
3. Requires slight learning curve

You can choose AWS, when you need to deal with large volumes of data,want to add a CDN to your system, or create a shared file system internally.

3. MongoDB-

It is a document – oriented NoSQL database for unstructured data and real-time apps and analytics. MongoDB is compatible with .NET applications, Java Platform and even more. It is used for high volume data storage. Also, MongoDB has built – in features that makes it best for businesses that need fast and flexible access to their data. It is well suited for the cloud due to its horizontal scalability.

Features and Functionality-

• Dynamic schemas
• Location-based data analytics and operations
• Flexible
• Document based
• Free to use
• MongoDB is a distributed database at its core, so high availability.

Pros and Cons of MongoDB-

Pros-

1. Flexible Database
2. Sharding
3. High speed
4. High Availability- Replication
5. Ad-hoc query support
6. Easy environment support
7. Full Technical support

Cons-

1. High memory usage
2. Limited listing
3. Limited data size
4. Complex transaction

You can use MongoDB for mobile and social networking sites, real time analytics and high speed logging, caching and high speed scalability. Also, it can be the best choice for e-commerce product catalog.

Conclusion of Firebase vs. AWS vs. MongoDB-

Keep in mind, all these are developed to perform a different back-end function. Also, these 3 have different pros and cons based on their functionalities. Hence, the selection is depends on requirements and integration needed before migrating or committing to a solution.

Please contact us if you have any Web Development projects. We have got plenty of experience in Web and mobile application Development service.