Product Host Name Summary Score Buy now
TMD Hosting launched in 2007, TMDHosting grew to 60,000 users in just six short years in business. They have four U.S. ... Liquidweb hosting owns and operates three private data centers. By owning our data centers rather than leasing, we are ... FastComet has excellence in the 3 most important features of providing a high-quality web hosting experience like ... $3,95 PER MONTH
RoseHosting hosting is established in 2001. RoseHosting provider is situated in St. Louis Missouri in the United States ... A2hosting was established in August 2001. It is based in Ann Arbor Michigan. It has built their good reputation on ... SiteGround hosting review by genuine hosting review.
SiteGround has been in existence for nearly 10 years till now and ... DreamHost hosting
Dreamhost is a Los Angeles based web hosting company and domain name registrar. It is the cloud ...
What is a Database?
Find MongoDB Best Hosting Providers. Before we go ahead and get the knowledge of MongoDB, let’s take a look at the database first. As far as computers are concerned, a database is just a storage of data. It collects and stores the data entered by the user. The database organizes all the data so nicely that when you want it, you will get it within no time. Let’s understand it by an example. Suppose you would have hundreds of thousands of files stored on the computer named a,b,c,d,e,f,g,h,i…so on. Now when you would want to open it, there will be a possibility that you might get confused about which file to open? This method of storing and retrieving the file from a computer is old fashioned of course but still, numerous files with the same extension will make you confused.
Storing and organizing the files is a very disciplinary task. There are many search options available that help you in fetching the files of your choice. But once you have got the lots of data stored on your computer then you will finally lack the proper system for finding the data. Availing the correct data is a very time-consuming operation and it will become tedious when data grows.
Now here database comes into the picture. A database is a computer application that handles the data and will let you get it when you need it. With such smart software you can have lots of information about the customers like his name, addresses, contact nos, company name, etc. Storing and retrieving the data becomes very professional.
What is MongoDB? All you want to know about it.
MongoDB is free. MongoDB is an open-source program. It is document oriented and cross-platform database program. No SQL is used in the processing of this database because the old fashioned table-based relational database structure is not used in MongoDB. MongoDB supports JSON like documentation which makes the integration of data easier and quicker. MongoDB provides easy scalability and high availability. It works on collecting the data and proper documentation.
The collection is like grouping in MongoDb’s documentation. It is more like an RDBMS table and exists within the same database. Documents can have different fields. The document is a set of useful keys. There are some terminologies given below that are used in RDBMS and MongoDB.
Features of MongoDB
- MongoDB supports access to ad hoc queries. You can search for collection, field and Range query. It also provides a search for regular expressions.
- Indexing of any field is possible in MongoDB.
- Master-Slave applications in MongoDB save the database from the replication of data.
- MongoDB is portable that means it can run over multiple platforms. It supports the data duplication in case of server failure.
- Data Sharding in MongoDB automatically configures load balancing.
- MongoDB supports aggregation tools.
- It is written in C++ and doesn’t support schema.
- High performance is guaranteed.
- Easy storage of files with any size.
- Administrations and configuration are easy in case of system failure.
Why you should use MongoDB?
- Relational database stores data which is well-fashioned but what about the random data or information like customer’s past purchase, different addresses, Facebook like data. MongoDB allows you to add these types of random data without even defining their types.
- Because of MongoDB’s availability and flexibility in a cloud-based environment, you can load very high volume data with a built-in sharding solution which partitions your data and easily spread across multiple servers.
- You can try and learn new things very fast with MongoDB's dynamic schema. Incorporating anything into MongoDB is fast and less costly.
- MongoDB makes it easy for you to gather the location-based data without complicated processes.
- Millions of connected devices creating data on the internet regularly and it is a challenge to extract and transform them but MongoDB can do it within the single database.
- MongoDB can store much different kind of data from anywhere that is needed to power the CMS based site. This data includes tweets, comments, multimedia messages, and more.
- Being able to handle the unstructured data MongoDB is an ideal pairing device for mobile application development.
- MongoDB can give you a real-time analysis of your customer which helps you to provide him much needed personalized experience.
- MongoDB is very cost-effective. If you are a micro and small size company then you should prefer MongoDB for the storage because it is easier to manage and set up.
- MongoDB’s power-packed search engine will let you know where the data is coming.
Pros and Cons of MongoDB
- If you have a large amount of data and want to share them across multiple servers for load balancing then MongoDB is way better than relational databases.
- MongoDB’s search queries are faster because they have to interpret into a single server for the access.
- MongoDB provides flexibility which means when you have unstructured data to store then you should go for MongoDB because it offers a much simpler way to store them.
- There is no possibility of joining in MongoDB which means whenever you need to use this functionality then you have to make it manually which results in ugly and long coding.
- Memory usage is very high in MongoDB because it has to store the key for each and every document due to the possibility of inconsistent data.
- When you start using one functionality then MongoDB locks up the entire database thus resulting in concurrency issue.
- You have to enter manually to ensure the particular operation is a transaction because MongoDB doesn’t do it automatically.
Here you can see the list of cons is a bit longer and this does not mean you should never use MongoDB. It is still in the development phase. Developers must keep in mind when to use MongoDB because it is not the replacement of any relational database.