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Mongodb  Mongodb
Our MongoDB developers use the platform’s express query language and secondary indexes to create extremely scalable applications for diverse enterprise needs.
  • Our experts harness the power of NoSQL, document-based setup of the platform to deliver analytics, simplified database management or any service your business would require.
  • Our dedicated team monitors your MongoDB IT infrastructure to provide 24/7 customer support and ensure there’s no downtime for maximum efficiency.
Dynamodb  Dynamodb
Our DynamoDB solutions can replace all the traditional software and complex hardware requirements with a database service that is designed from the ground up to support low latency and high speed requirements of today’s high scale applications.
  • Our team of developers has detailed knowledge and skills to build large scale apps for web, mobile and desktop using DynamoDB.
  • Our training in creating DynamoDB empowered apps ensures we can deliver the app you want, with the features you need in quick time.
Mysql  Mysql
Technostacks developers use relational db system to deliver secure, deeply embedded apps with low memory footprint. Reliability is the hallmark of apps backed by MySQL and we use its elastic scalability and multilayered security to create apps for small as well as large businesses.
  • Our team of highly trained MySQL professionals is skilled in using the various features of MySQL like Data Partitioning, Parallel Load Utilities, Strong Indexing and more to create power packed apps.
  • For more than one database or load balancing, sharing, our developers can easily set up multiple instances of such databases.
Cloudant NoSQL DB  Cloudant NoSQL DB
IBM Cloudant NoSQL DB enables high concurrent reads and writes in the cloud, data flexibility and global availability. We are highly skilled at using the advanced Cloudant APIs, to provide extremely cognitive apps that can handle heavy workloads with speed and accuracy.
  • Our team of professional developers uses Cloudant to provide your apps with integrated data management, search and advanced analytics engine.
  • We specialise in IoT application development using IBM Cloudant to help monitor device activity and give you a range of detailed usage analytics.
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MongoDB Vs MySQL

What Are The Differences Between MongoDB and MySQL?

Imagine selecting a DBMS that aligns with the technical objectives and goals of your organization. It is quite impressive, right? However, relational databases held the lead for sufficient time. Selections were quite apparent: MySQL or MongoDB, to talk about a few. Though times have altered pretty much with the demand for more multiplicity and scalability, haven’t they?

There are substitutes in the marketplaces to select from, though I don’t want you to get puzzled again. So how about a comparison amid two dominant solutions that are close in recognition?

MongoDB vs. MySQL: which is better?

Let’s have a swift comparison of MongoDB and MySQL.

Key Relationships in MongoDB and MySQL

MongoDB doesn’t back and support JOIN operations. Also, it has no equivalent. On the other side, it backs multi-dimensional data types like arrays.

One of the excellent parts of MySQL is the in-hand JOIN operations. JOIN turns the relational database actually relational. It enables the user to link data right from tables in a solitary query with the assistance of a single SELECT command.

For instance, we can straightforwardly get hold of related data in numerous tables utilizing a single SQL statement. This scenario should facilitate you with an account number, name, and the relevant branch.

MongoDB vs. MySQL: Performance 2020 and Speed

One single major advantage MongoDB has over MySQL is its capability to manage big unstructured data sets. It is speedier as it facilitates users to query in a diverse style that is more sensitive to the overall workload.

Developers report that MySQL is comparatively slower to MongoDB when it comes to handling big-sized databases. It is not able to adjust with bigger and large sets of unstructured data.

There is no benchmark, and only your requirements, your data capacity, and infrastructure needs can tell you what database you need. However, it is quite clearly observed by diverse professionals that MongoDB takes way lesser time in comparison to MySQL for a similar set of commands.

MongoDB vs. MySQL: Security Model

MongoDB utilizes a role-based access control with a supple place and set of privileges. Its security functions comprise authentication, auditing, as well as authorization.

Moreover, it is also likely to utilize Transport Layer Security (TLS) and Secure Sockets Layer (SSL) for encryption objectives. This scenario makes sure that it is only available and readable by the proposed client.

MySQL utilizes a privilege security model. It clearly authenticates a user and enables it with user privileges on a specific database, which includes CREATE, INSERT, SELECT, UPDATE, and other commands. However, it meets with failures while explaining why a particular user is denied precise access. On the transport layer, it utilizes encrypted connections amid clients and the respected server utilizing SSL.

When to Use MongoDB or MySQL?

MySQL MongoDB
Lower Maintenance Levels High Availability Levels
If you have just started up your technology business and need not scale much, MySQL can assist with simple set-up with lower maintenance. When you require high availability of data with automated, quick, and instantaneous data recovery.
Limited Budget Capacity Built-in Sharding
Need higher performance levels with lesser budget capacities. In the coming time, if you are going to mature and grow big, MongoDB has built-in sharding solution.
Fixed Schema Unstable Schema
Have a fixed schema and data structure will be continued for a longer time, such as Wikipedia. If you have an unstable schema and want to trim down your schema migration costs.
High Transaction No Database Administrator
If you need higher transaction rates such as the BBC. If you don’t have a DBA, however, you have to hire one going big.
Data Security Cloud Computing
It is the best fit if data security is your topmost priority. If your major services are in the cloud, MongoDB is the best fit.

Which Organizations Use These Databases?

  • MongoDB
  • MongoDB was released in 2009 and is utilized by many leading organizations. The list comprises Twitter, Klout, Citrix, Zendesk, T-Mobile, Hootsuite, Sony, MuleSoft, SurveyMonkey, InVision, and Foursquare.

  • MySQL
  • MySQL has grown and matured since the year 1995. Some of the large-size organizations that use MySQL comprise YouTube, Pinterest, Netflix, Spotify, US Navy, PayPal, NASA, as well as Walmart.

Comparing Database Structures to know which is good database software? MongoDB or MySQL?

  • MySQL
  • MySQL stores its data right in tables and utilizes SQL to access the data. MySQL uses schemas to classify the database structure, needing that all of the rows in a table have the identical structure with values presented by a precise data type.

  • MongoDB
  • MongoDB stores its data in JSON-like documents that can have diverse structures. To get better on query speed, it can store linked data jointly, which is accessed utilizing the in-hand MongoDB query language. As we mentioned above, MongoDB is schema-free, facilitating you to build documents without having to specify the structure of the document in the first place. These documents can be simply altered by adding or deleting accessible fields.

    In MongoDB, documents have their own unique structure with the addition of new fields at any time and contain any value. With the MongoDB data model, you can display hierarchical relationships, data arrays, and other multifaceted structures in the database. In some use cases, MongoDB performance is enhanced over MySQL as MongoDB does not utilize joins to connect data sets, getting better on performance.

Are Indexes Required?

Both MySQL and MongoDB use indexes to enable them to search for data swiftly.

  • MySQL
  • If an index is not specified, the database engine must scan the complete table to search all applicable rows.

  • MongoDB
  • If an index is not easily found, every document within a compilation is scanned to pick the documents that offer a match to the given query statement.

How are their Queries Dissimilar?

Selecting and Picking records right from the customer table:

MySQL:

SELECT *
FROM customer

MongoDB:

db.customer.find()

Inserting records right into the accessible customer table:

MySQL:

INSERT INTO customer (cust_id, branch, status)
VALUES (‘appl01’, ‘main’, ‘A’)

MongoDB:

db.customer.insert({
cust_id: ‘appl01’,
branch: ‘main’,
status: ‘A’
})

Having updations of records right in the customer table:

MySQL:

UPDATE customer
SET branch = ‘main’
WHERE custage > 2

MongoDB:

db.customer.update({
custage: { $gt: 2 }
},
{
$set: { branch:’main’ }
},
{
multi: true
})

Deployment of these Databases

  • MySQL
  • It is precisely written in C and C++ and has binaries for the systems: OS X, Microsoft Windows, BSDi, Linux, AIX, HP-UX, FreeBSD, IRIX, NetBSD, and many others.

  • MongoDB
  • It is precisely written in C++, C, and JavaScript and possesses binaries for the systems: Solaris, Linux, OS X, as well as Windows.

    There are connectors for both MySQL and MongoDB, offering a no-coding solution that does not need data set-up or changes. This scenario conveys one can easily consolidate data right from MySQL, MongoDB, cloud, and more into a solitary data management platform.

What Categories of Replication / Clustering is Accessible?

  • MySQL
  • It backs master (slave replication) and master (master replication) according to MySQL 5.7.6 and later versions. Multi Source replication enables one to replicate right from numerous masters equivalently.

  • MongoDB
  • It backs in-built replication, sharding, and auto-elections. With auto-elections, you can easily set up a secondary database to automatedly take over if the primary database meets with failures. Sharding facilitates horizontal scaling, which is tough to implement in MySQL.

    MongoDB utilizes replica sets to generate numerous copies of the data. Every member of the replica set can have primary or secondary key roles at any time in the procedure. Reads and writes are executed on the primary replica by default and further replicated right to the secondary replicas.

Moving Forward

You need to select the DB software as per your project goals, business demands, and requirements. Technostacks has experience and proficiency in working with both MongoDB as well as MySQL databases. We offer robust database management services globally. Our teams have successfully developed software with multiple DB software. If you have any confusion, then it is better to connect with us or leave a comment below with your contact details.

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Apps that Deliver On-Demand Scalability and Flawless Performance

MySQL is an open source relational database management system based on Structured Query Language. The best thing about it is that it can run on all platforms whether it is Windows, UNIX or Linux. Technostacks developers use MySQL to deliver secure, deeply embedded apps with low memory footprint. Reliability is the hallmark of apps backed by MySQL and we use its elastic scalability and multilayered security to create apps for small as well as large businesses.

Our developers can structure the databases using MySQL for a variety of purposes including data warehousing, e-commerce, and logging applications. Irrespective of your business needs, our team can build these databases from ground up using MySQL and create high-volume web sites, business-critical systems and packaged software. The databases built by our developers will be able to interact in real- time and will be able to display categorized and searchable information to a website user.

As a business, you will want to lower Total Cost of Ownership (TCO) of your business app and our developers use the MySQL database, its scale-out architectures and utilize its low cost commodity hardware to reduce your TCO. Coupled with the easy maintainability of MySQL apps you have another major cost advantage as you don’t have to focus much on app maintenance.

If your business requires more than one database or requires load balancing or sharing, our developers can easily set up many instances of such databases. Also, with MySQL we create successful web properties irrespective of the work load or data volume without any downtime.

Why Technostacks for MySQL?

  • Our team of highly trained MySQL professionals is skilled in using the various features of MySQL like Data Partitioning, Parallel Load Utilities, Strong Indexing and more to create power packed apps.
  • We have years of experience in delivering MySQL solutions tailor-made to suit the requirements of clients whatever their business needs.
  • Our experts have the capability to leverage the power of MySQL to deliver solutions with robust database that meet the increasing demands of modern applications and software.
  • Our development process and project costing is fully transparent allowing you to make the most of MySQL for your business

Give our skilled professionals the opportunity to deliver innovative and highly effective applications that can meet all your business requirements.

Contact us right now!

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MongoDB Delivers Efficient, Large Scale Database Management for Enterprises

MongoDB is an open source documented oriented database program used for creating large-scale applications wherein large quantities of data are to be processed. Our MongoDB developers use the platform’s express query language and secondary indexes to create extremely scalable applications for diverse enterprise needs. This is a NoSQL program enabling us to build highly efficient scale out-architecture that keeps in-step with the growing needs of a business.

This program is known for its amazing lineup of features like rich dynamic queries, full index support and super-fast in-place updates and our app developers are proficient in all its features. They use the supports it offers for GridFS and MapReduce to deliver rich app features to clients.

Our expert developers use MongoDB to craft highly demanding applications like Big Data analytics apps, CMS apps, social network DB management apps, and more.

Why Technostacks for MongoDB Development Services?

  • Our team of highly trained and expert MongoDB programmers has hands-on knowledge on various aspects such as MongoDB Enterprise Advanced, MongoDB Professional and more.
  • We have extensive experience in customizing MongoDB to suit individual client requirements.
  • Our experts harness the power of NoSQL, document-based setup of the platform to deliver analytics, simplified database management or any service your business would require.
  • We believe in a fully transparent development process making it easier for you to make suggestions and be part of the development from start until the end.
  • Our dedicated team monitors your MongoDB IT infrastructure to provide 24/7 customer support and ensure there’s no downtime for maximum efficiency.

When challenging enterprise applications or analytics are required, think MongoDB development services by Technostacks! Let us help you manage your data, efficiently and seamlessly for improved productivity.

Call us now!

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