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List of Cloud Database Services You Need to Know to Manage Your Data Better

Over the past few years, cloud database services have experienced a meteoric rise in endorsement and innovation. For many organizations, the benefits of adopting a cloud-based system are undeniable. From cost efficiency to compatibility, cloud services are becoming the norm.

As software development welcomes the cloud, database services are following suit. So much so that Gartner has predicted that 75% of all databases will be on a cloud platform by 2023. With cloud services offering everything from parquet data format to scalability, traditional on-premises databases are becoming obsolete.

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Companies need to advance, and cloud-based databases accommodate each step of the journey. By providing flexibility and agility, enterprises are moving towards a cloud-based future.

Did you know that you can also use an intelligent database to access relevant B2B companies and contacts for your sales and marketing? Give it a try! But make sure to choose a compliant B2B database to avoid data breaches.

In the traditional model, databases run on an individual company's infrastructure. But with the introduction of cloud services, enterprises have experienced a major technological shift. They are deploying servers via private, public, hybrid cloud, and multi-cloud environments.

As cloud computing technology continues to evolve, the number of cloud database services grows. Cloud services connect via a global network, making it easy for customers to integrate cloud and on-premises environments.

As these technologies advance, organizations are leveraging the power of the cloud to deliver value. However, deciding which cloud database service to introduce can be a daunting task. This article will list the main differences between cloud databases and why you should consider cloud services.

What are cloud databases?

Just as Voice over IP revolutionized online communication, cloud technology has transformed database services. With so many different types of cloud database services, businesses need to define their needs before moving forward. Scalability, security, and availability make cloud databases the obvious choice. But not all services are created equal.

Traditional cloud databases and database-as-a-service (DBaaS) offer various levels of cloud computing. Depending on the provider, users can receive greater control of their cloud services or receive greater assistance. As the best ecommerce marketing strategies target users, cloud database services target solutions.

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Cloud databases serve many of the same functions as in-house databases. These services include the flexibility and functionality of cloud computing. Users can access their information from anywhere without having to buy dedicated hardware.

These advantages, along with spark structured streaming, enhance operations and business development. Traditional cloud data management is handled in-house, meaning the responsibility falls to the organization using the database.

An IT team manages the in-house infrastructure that is deployed. This virtual landscape consists of IaaS, PaaS, and SaaS, as well as DBaaS, which create various levels of cloud computing. These levels cover digital resources and develop environments that reflect an organization's needs.

Infrastructure as a Service (IaaS)

IaaS allows users to run any operating system on rented servers, without the maintenance and operating costs of those servers. The experience is like running an in-house database. The responsibility of installation, inventory software, and ongoing maintenance falls on the user.

This means that an IaaS database offers you the most control over your organization's setup. The lack of automation available ensures increased responsibility for the users. Whilst IaaS gives you the power of an in-house database, the infrastructure is operated within the providers' parameters.

IaaS databases allow users to configure services that work precisely as needed. So, if you're comfortable managing databases, the scalability offered is practically unlimited. As IaaS provides control over other database software and OS, the chances of them failing to achieve cloud cost visibility are slim to none.

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IaaS makes it easier to produce in-house databases in the cloud. All the resources an organization will need are available and ready to use. Another advantage is companies only pay for the resources that are in use, meaning IaaS databases are customer-focused and cost-efficient.

Platform as a Service (PaaS)

Whilst IaaS databases need user functionality to evolve, PaaS takes the cloud service a step further. A PaaS provider hosts the hardware and software on its infrastructure. This frees up users from having to install in-house software via automation. Using an ETL platform, such as Improvado, is a great example of a PaaS that offers a unified data analytics stack with excellent integration functionality.

Provisioning, configuration, and scaling management tasks become simplified through cloud automation tools, effectively shifting the responsibility for software management from the internal to the external.

PaaS infrastructures are geared towards software development. Though these services have a more direct influence on an organization, PaaS models can't be accessed by users.

As a result, the provider holds the keys and the consequences that affect customers. This demonstrates why providers invest in data-driven ICP so that their services match their users' capabilities.

Software as a Service (SaaS)

SaaS eliminates the need for a company to buy, deploy, and maintain its databases in-house. SaaS applications run in cloud servers that may be far removed from a user's location. They can be accessed through a browser or an app. Common examples of SaaS applications include Gmail and Office 365.

The familiarity with the software model doesn't end there. We use SaaS constantly in our day-to-day lives, such as Google Docs and Salesforce CRM, to name a few. They are the easiest type of database to set up, as the service provider handles all the technical issues. Think of it as an unlimited web hosting plan where operations consistently run.

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Whilst SaaS databases reduce cluster planning from the user's shoulders, it does come in the form of a trade-off. Due to its automation and fully remote capabilities, customers have fewer deployment options available regarding functionality.

Database as a Service (DBaas)

DBaaS is not only simple, it's incredibly flexible. As with other cloud services, it's cost-effective and functional. It doubles as software that powers a large array of other SaaS apps. It also has the capabilities to access technologies that could only be utilized via large enterprises.

DBaaS models do not need users to install software or set up physical hardware to progress. Databases run on the service providers' infrastructure and allow users access to software administration.

Furthermore, DBaaS provides fully managed databases and performance configurations. Backups, patching, and upgrading are outsourced to the provider, with the provider ensuring expert 24/7 services, turning the user experience into a streamlined one.

Databases can be created instantly, as infrastructure provisions are provided via the cloud. DBaaS big data analytics certification offers security to many businesses. Automation and machine learning ensures businesses grow and DBaaS solutions grow along with them.

The majority of cloud platforms offer DBaaS solutions. Services manage various databases without the need for physical hardware or multiple configurations. And because of its infrastructure, security measures can be implemented in real-time.

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DBaaS offerings handle the administrative task, leaving clients to focus on their service. As the provider doesn't need an in-house infrastructure, moving to cloud management platforms can be critical to further success.

Advantages of cloud databases

Let's identify the advantages of adopting cloud database services:

Increased flexibility

Just as private branch exchange offers a more flexible phone system, cloud technology does the same for databases. Cloud deployment of database resources is quick and simple. This flexibility streamlines projects and allows them to grow organically. Teams have the time and resources to evolve as cloud database services tackle the majority of functionality.

Due to the database services available, clients can choose the services best suited to them.

Expert database management

As everybody knows, having an expert in your corner is beneficial in all situations. As DBaaS vendors perform monitoring, restoring, and upgrades, users are free to complete other work. And as cloud computing resources are in real-time, scalability can be handled seamlessly.

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Cloud databases provide businesses with the agility to deal with unexpected changes. Their time frame is the company's time frame. So if a company experiences rapid growth, cloud databases will be able to accumulate their services to match it.

Having a team of experts behind you allows you the peace of mind to focus on tougher challenges.

Security

For cloud database services to be desirable, they have to invest in top-notch security. Most cloud-based providers have a far more secure way to protect client data than an in-house team. Whether it's encrypted backups or key management, security measures must be updated.

Databases are backed up and duplicated throughout a cloud provider's network, meaning there's a reduced risk of businesses losing their data in a security breach.

Cloud providers handle all types of cybersecurity, from docusign free alternatives to data transit protections. Machine learning and AI automation can decipher potential threats and handle them efficiently.

Cost-effectiveness

As cloud databases are normally fee-based via a subscription, resources are smaller than employing an in-house team. Subscriptions or pay-per-use pricing models are beneficial if companies have peak periods that they are prepared for.

DBaaS automation and machine learning reduce the workload of database administrators, which in turn reduces company costs. Another advantage to these pricing models is that if for any reason a company is unhappy with the service provided, they can cancel at any time.

Wrapping up

Enterprises need to plan for the future, and the future is cloud-based. Technology is moving towards digital adoption, and cloud database services are no exception. With the advantages of improved flexibility and cost-efficiency, the adoption of online services is a no-brainer.

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ABOUT THE AUTHOR

Pohan Lin - Senior Web Marketing and Localizations Manager #1

Pohan Lin 

Pohan Lin is the Senior Web Marketing and Localizations Manager at Databricks, a global Data and AI provider connecting the features of data warehouses and data lakes to create lakehouse architecture. With over 18 years of experience in training data analysis, web marketing, online SaaS business, and ecommerce growth. Pohan is passionate about innovation and is dedicated to communicating the significant impact data has in marketing. Pohan Lin also published articles for domains such as SME-News.

Published Tuesday, August 02, 2022 7:35 AM by David Marshall
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