Top 10 Cloud Database in 2020: Which One to Choose

Running a successful business entails that everything is up to date at all times and that you have a perfect inventory. The same goes for the digital business. Every utility that you are going to utilize should be up to date and packed with the latest inscriptions as soon as these land on the market.

Digital businesses rely on the continuous input of data. Without a proper flow of it to process, parse, and extract insight, there isn’t much that can be done to bring innovation and prosperity to the end-users. That brings us to the use of databases. A database is a collection of different forms of data, collected randomly or following a strict pattern under the same or different queries or as required by the organization. Connect with our experts to learn more about our cloud certifications.

Relational Vs. Non-relational Databases: The Origin, Continuation, and Present

Databases are more than just storing your data for later use. There is too much that is going on, such as integrating and linking your database to a variety of different software systems and tools to manipulate data, process it or categorizing its nodes according to your set requirements. Databases have become an essential role in cloud services as with IT operations. Data can be stored in the database using different methods, and various types of data can be accumulated in a single channel for a dedicated database, if the requirement presents itself.

The point is databases have become an integral part of cloud services. If you are using cloud management software or interacting with different cloud vendors from time to time, then it is essential that you be able to store data in the type of database that you normally require for queries.

The most common database that is relational and has been around was used within Microsoft Access and it's more powerful entailment: MySQL. In these types of databases, there is a direct connection that is going on with different data nodes when they are arranged into columns and rows.

Non-relational databases have become the product of today, as there is no dedicated structure or mechanism in which the data gets linked. It is all pretty haphazard, and due to the agility-based concerns, it has become the need of the hour for developers and programmers. Business analytics, machine learning and even business intelligence tools can equally benefit from these types of databases, as it has become rather easier to process a large chunk of data that has no relevance, structure, or mechanism for storing and processing.

It doesn't matter what kind of database you require; it might be relational or non-relational, but at the end of the day your cloud provider is going to decide the set metrics for the database. Before having your own principles and ideas about selecting a dedicated database, have a look at the following few:

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Microsoft Azure SQL Database

Azure was first created by Microsoft in 2010 to provide developers and programmers with a platform they can use for developing and deploying apps to their customers in real-time. It offers databases not only as a service but also as a platform as a service. With the help of the Azure systems, clients are able to use the service purely on the cloud. If need be, the database can relationally be integrated with any other application, tool or software the user wants to use the database with. The database provided by Microsoft has the same deal, look and feel to it as the Azure cloud service itself.

There is a robust SQL engine running the show and affirmative compatibility of the database with machine learning related mechanisms. The service will provide you with all the SQL related tools and software that you require in order to shine or get past your current project.

All you need is a Microsoft account to get started; there is no need to install any application on your system, as the whole process is online. On the other hand, the process is completely painless and easy. The type of subscription that you get with this platform is “pay as you go.” You will only have to pay for the services that you use. The first 12 months are completely free, and there are even 25 free services you can use.

Amazon Relational Database

AWS provides on-demand cloud computing to individuals and companies based on the requirements related to the cloud. There are a lot of services that you get with Amazon Web Services, such as content development and database storage. However, it’s not like it provides unlimited database storage and data optimization, there are different packages that you get to choose from based on your use case. Amazon relational database is a Database as a Service (DBaaS) platform that is equally suited for data engineers, business analysts and database administrators. You need a certain degree of knowledge in order to work with this platform. If you are already familiar with the AWS system, then it is the best decision that you can make.

However, the process of signing up is more complicated, and it involves technical support from the AWS vendors to do so. You can do all kinds of things with this service, such as create templates or write code as per your requirements. The subscription model is the pay as you go, so you only pay for the services that you use. With the free tier offer, you can use the service for about 12 months, and after that, you will have to pay on a monthly or yearly basis.

SAP

HANA, which is the ultimate cloud-based database, is provided by SAP; it is used to deliver high-end computing software and tools to the users and has only recently taken the shift of offering cloud-based database services.

The only possible drawback of using the SAP database is that it is a completely relational database, which means that the data that is stored processed or interacted with is in a dedicated pattern or symmetry. Only someone who is experienced enough or have prior knowledge about working with relational databases will understand it.

If you are a large enough enterprise that needs a separate and properly customized database for themselves, then SAP can get it done for you. Sybase is the most complacent tool being put out by HANA, and it provides access to the inauguration of large databases. This is something that is also being offered by the AWS systems. The subscription model, however, remains the same as the above two; you only pay for the services that you use. The database is simple, interactive and above all non-relational, which means no arbitrary setup or technique has to be followed for putting in data, storing it or for any other possible use.

Oracle Database Cloud

The oracle database works as a part of the open-source platform, and Oracle itself is lending some of the technology. It allows customers to customize the cloud-based services as per their own desire while building, deploying, integrating and managing all of your platform applications from a single platform. Predictive insight is offered by Oracle technologies mainly due to the machine learning and artificial intelligence-related aspects of it. The platform will automatically correct or repair itself in case of any damage or irregularities that occur due to malware or some kind of hacking attempt to your database.

Data management becomes so easier that all can be taken care of from a single platform. It means that you can store, extract, process and parse data while being on a dedicated platform. You can control all of these intricate processes while scaling up and down according to your set requirements regarding a particular project.

Oracle technologies and setting up is also quite easy, and users can roll out with 'on-capacity fulfillment' that allows them to scale up as per their requirements and help them to expand their work. The level of encryption that is offered here is quite spectacular, and there is layer after layer of security that is extremely difficult to crack or hack.

There is absolutely nothing that you have to do yourself. From the development, integration, deployment and right to the management of the databases, you have to worry about nothing. Oracle claims their process to be self-sustaining and automatic, thus not relying on the consumer to make a move when it comes to the management of the resources that are currently being used by them.

EnterpriseDB

This kind of database was introduced to focus on the open-source PostgreSQL databases, but with the passage of time, it changed itself and was customized enough to be able to work with Oracle-based database applications.

The new and improved version of the database, which is EnterpriseDB*Plus, allows users and large businesses to use applications which are designed for the Oracle on-premise databases. This way all the workload can be shifted to the new and improved server design, and at the same time it can run on either HP or AWS cloud systems. Also, consistent backups of data are made to ensure that nothing is lost during the transit of data.

The main idea that can be taken away from this specific type of database is the ease of integration. If you are someone who has to work with various different cloud vendors, then this is the type of database to go with. It is unique, provides with all the dedicated and technical resources, and also the monthly and yearly plans are extremely stretchable. It means that you can either choose from a bunch of different packages that this database provides or have in-store, or you can have a customized package built specifically to accommodate your own requirements. In this way, you will only be paying for the resources or services that you are using.

IBM Db2 on Cloud

IBM Db2 on Cloud is mainly a sub-domain of various cloud integrations and specialized cloud services prepared by the tech giant, IBM. It is part of its comprehensive cloud management platform. It is an SQL based database that can actually be set up and ready to go under a few minutes and can take on any particular scale. Scalability is the basic denominator here; you can add multiple processes, enable the addition of as much computing power as you need or lower it all the way to a minimum, depending on the type of project that you are working on.

You only pay for what you use, and the rest is not for you to worry about. The vendor maintains security in the form of consistent update patches that get rolled out from time to time, and it allows for flexible scaling. There are some built-in AI capabilities that allow you to open up machine learning or deal with machine learning-oriented projects with greater ease. If you are going to store some sensitive data on the database and are worried about the security or integrity of it, then you can always use a VPN connection. It masks your IP and other basic traceable parts that can spill your identity out in the open.

AI functionality within this database is so unique that machine learning, business intelligence and data-oriented aspects can be taken care of without any fret. You can have all the computing power that you require in order to remain on top of the project that you currently have and take care of it within the allotted time.

This database system is aimed at covering the needs of the enterprises and hybrid businesses that have to change their requirements based on the project or as time presents itself.

Garantia Data

Garantia Data has been helping customers and distant users who want to use or build their interfaces around the NoSQL database systems and want to use AWS or some other high-end cloud computing system to outsource their whole computing load. Most of the time, people who are interested in running their elements within the public AWS cloud use this database service, and as it turns out they are also quite happy about it.

Private data can be stored while providing access to a single entity or multiple users. To make sure that only the authenticated users are able to access the data stored here, it uses multiple layers of security encryptions. Also, at the same time, it uses sophisticated access control systems to restrict or grant access to the data that is stored within the database while at times using the two-factor authentication system to validate or authenticate the user trying to get access to the stored data.

It also means that these will get a customized version of the database system that can help them to shift or change all of their assets to another cloud computing system if need be but most preferably to the one that happens to operate within the public side of the cloud systems.

Google Cloud SQL

Google Cloud Platform (GCP) has been around for a long time now, and it is not only shipping out the best cloud computing interface for the users to bring into their operations but also diverting its attention towards the development of SQL based databases for the companies and businesses that require it. The fully managed services are provided by Google itself, especially for the non-relational databases, such as MySQL, SQL Server and Postgre SQL. Rest assured you can be content about the performance, execution, and scalability that comes with this database system.

Backup is an integral part of the GCP cloud and database system. No matter what kind of package you sign up with, you will get back up and exceptional encryption support from the Google cloud to ensure that your data remains intact. Google also provides its clients with a global network for enhanced security and for making sure that they get the right speeds to align the time frame they have for a dedicated project.

Another great feature that is included here is automatic failover protection; it means that the service will protect your system from going into a complete meltdown or sustaining potential failure within some other part of your IT infrastructure. So, the takeaway feature here is that you get uptime and in a consistent manner, which will ensure that your services remain active and in reach of the customers at all times, despite the setbacks that you are facing.

Various compliances are being offered and supported by the Google Cloud Platform, such as HIPAA, ISO27001 and PCI DSS v3.0.

OpenStack

Talking about open-source database systems, we have the Google Cloud Platform on the top. But to give it some hard time, the OpenStack solutions surface in the arena. You can get it in both the managed or hosted cloud databases; it might just be possible that you can work it out with whatever cloud-based resources or service that you are using at the moment.

OpenStack is extremely customizable, and its architecture is extremely easy to understand and implement too. There are many professional reviewers out there that have already validated the scaling capabilities of this amazing platform. The release cycle is about six months regarding updates and other important elements that can be downloaded or brought into use as a resource. It will provide you with a great value for money and is easier to use. There are no complicated attributes regarding this database whatsoever, as it’s simple to use and simple to set up all by yourself.

However, if you are looking forward to having something that is more stable and comes with fewer crashes and other technical issues, then it is best that you find it somewhere else, because it definitely provides great value for money but is not intended for hybrid environments or businesses.

MySQL

MySQL is the most popular open-source database system. It means that anyone can use it for free and customize the architecture and attributed processes accordingly. The uptime is really great. This service has been active and running for almost 30 years now. There are multiple web-based applications out there that use MySQL for the storage of data. Out of those many clients the most popular is the Gmail service, as it heavily relies on operations rendered from a MySQL database.

It uses the Structured Query Language, allowing you to store data in relative formats, tables and indexes based on a relative symmetry either appointed by the database or constructed out of your own dedicated requirements. Many websites on the MySQL database store backend data, and Facebook and Twitter remain the most apparent clients.

There are fewer chances of your data getting corrupted, and it also supports a lot of different operating systems at the same time. It is the favorite database to be used for the backend programming and storage of data as prescribed above. Although you can’t deal with the database yourself unless you have a solid grip over the SQL language format and architecture, and thus you require someone who can do that for you, this is the only plausible drawback.

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