Software development has been moving towards cloud services in the last few years. Running a cloud services for database makes it easy for the database to grow along with the changing needs of the users. In addition, cloud services enable database replication across multiple locations with backup and recovery options.
In general, if we talk, cloud computing is actually the imposition or we can say commodification of data storage and computing time with the help of high standard and updated technologies in the market.
To understand more about this, here’s how cloud services can benefit your business along with the list of some players in the field of cloud computing.
All About Database
Before starting this blog, which is about the top 5 cloud services for database as a service, let’s first discuss what is database actually means.
A database is a collection of information that holds onto the content of the company or application. It is the most crucial aspect that takes place in the backend phase. It will cost us more money if we opt for setting up the database for a company like the conventional one. But on the other hand, if we shift from conventional databases to cloud database-as-a-service we can save a lot of money.
In terms of cloud database services, we don’t need to maintain checks, and instead, some of the best developers in this field can do it for themselves. In recent years, small businesses in the industry of software of cloud app development have shifted their focus to the cloud for their databases. So now let’s explore some of the benefits of working with cloud databases.
Advantages of Cloud Services for Database
Migrating your business to the cloud can be extremely beneficial, because of the wide range of inherited advantages that it brings with it. Let's see some of the advantages of the cloud database:
1. Reliance on Hardware
Working with a Best cloud database reduces the dependency on hardware. The cloud service providers cover the maintenance and infrastructure features. Companies can now invest very little in hardware and resources related to it. With little dependence on hardware, it reduces the complications and conflicts that usually hinder development.
2. Performance Optimizations
It helps in optimizing the database performance for a better user-centric experience. Improved optimization with cloud databases and indexing, also helps in improving the overall speed of the database and at the same time improves the speed of the entire operations as a whole.
It also grants you easy access to the system improvements with enhanced memory processing, database optimization, and advanced compression options.
3. Scalability and Elasticity
The resources of a cloud database can easily scale up as per the business needs.
In case a chance just imagine that your business needs to process a large amount of data every day like credit card payment information, financial transactions, storing users' information, etc. and you host, manage, own, and pay for all the storage and data access by yourself.
Now imagine, during a time of peak revenue decline or economic downfall, all you need to do is you need to invest significant time and sums of capital to scale down your services, model of the data, etc., and if your business is operating remotely in terms of flow, you need to invest time and money into scaling back your business and increasing the traffic.
Now let's imagine you have high-performance cloud computing services and a Cloud database as a service. Your whole business will scale your data needs, no matter how large it is, and according to that the cost will increase or decrease without any added fees or additional costs.
4. Security of Data
It provides enhanced security actions like encryption and data masking to protect the information from unauthorized access. In addition to that the providers usually manage the vast majority of data, which is paid for via a subscription fee paid by the user.
One database admin can monitor your cloud environment in real-time and users can enjoy all the convenience and speed of the user’s cloud database and remain assured that data security is always a high priority.
5. Native Applications
The cloud database allows to access data from anywhere, without any other additional setup, which makes it easier for developers to develop native applications. Native applications usually use the data that is stored in the cloud database.
You can even install virtual machines and new information-based dashboards within a minute.
6. Reduce Operational Costs
It will reduce costs by eliminating the need for additional hardware and software. Users can opt for annual subscription fees which will also improve performance and service.
7. Easy Setup
The cloud databases are easy to install or set up and manage too. It makes it easier for businesses of any size to get commenced with a database. DBaaS provider helps out in optimizing the database by moving to the cloud.
8. Professionally managed
The cloud-based database is managed and handled by professional teams, so there are no chances for the users to worry about their data.
5 Best Cloud Services for Database as a Service
Let’s take a look at some big players in the field of cloud services for database as a service.
1. Oracle Database
It is an all-in-one cloud database solution that uses machine learning and ensures higher performance, reliability, security, and operational efficiency. It is suitable for storing the data as well as managing it at the same time. The retrieval of data is very fast in Oracle Database and also maintains the log systematically and scalability.
» Features:
» Availability
The database is available anytime as the user wants it. It’s available 24*7 and at the time of failure of the database, it provides solutions in three ways that are Oracle Flashback, Oracle dataGuard, and Oracle RAC.
» Performance
The database deals with high portability, which means software can switch to any operating system without making any changes in the codes, provided the software is using Oracle. It is also used to control the inconsistency and concurrency of the data.
» Security and Backup
When we talk about users’ data, security is always the top priority. Using Oracle, no unauthorized access is allowed from any unauthorized sources, and the data is limited to certain numbers of users.
They also provide a feature of backward and forward rolling of data, which protects your data at the time of crash or failure.
» Pros:
1. Ease of deployment and performance
2. Solid customer support i.e., 24*7
3. Flexible database solution
» Cons:
1. No free version
2. No mobile access
3. Initial and maintenance costs
2. IBM DB2
This is a relational database or we can say a family product that supports various products like databases and database servers. It is usually known for its massive scalability and flexibility. IBM DB2 also provides business-wide solutions and handles a high number of workloads.
It is designed to deliver high performance and supported across Linux, Unix, and Windows which makes it complicated to learn.
» Features:
» Security
It safeguards data with hyper-protect environments for PostgreSQL and MongoDB.
» Data Support
IBM DB2 supports all data types including SQL, NoSQL, blockchain, etc.
» Document Indexing
It allows JSON document indexing and search engine via Elasticsearch database.
» Pros:
1. Well-structured product
2. Flexible and easy to customize
3. Great data management capabilities
» Cons:
1. Expensive
2. Average customer service
3. Lack of technical support
3. Amazon Web Service (AWS)
In the market of databases, Amazon has become the market leader. It is an undisputed leader among the cloud service providers. It also offers data-management services such as Redshift and Data Pipeline for smooth data management.
Currently, it offers which includes, Amazon RDS, Amazon SimpleDB, and Amazon DynamoDB.
» Features:
» Flexibility
AWS allows users to choose which programming models, languages, and operating systems better suit their projects as per their needs and requirements.
» Cost-effective
The cloud provides an on-demand IT infrastructure and lets the user use what they actually need. They provide minimum spending with long-term commitment.
» Scalability
The AWS has the ability to scale the computing resources as per the user's demands. And it is also useful for implementing short-term jobs.
» Pros
1. Numerous features
2. Good technical support
3. Easy to use
» Cons:
1. Fewer options for customization
2. Complex management components
3. Some new features have still not been tested
4. Microsoft Azure
In general aspects, Microsoft Azure is a cloud computing platform for VM creation and building and running web-based applications. It offers SaaS i.e., software as a service, PaaS i.e., platform-as-a-service, and IaaS i.e., infrastructure-as-a-service.
» Features:
» Scalability
It alerts us to the need for growth with ease all with the cost in mind. Based on the business demands, the elastic performance pools.
» Performance Tuning
The database provides built-in intelligence that can learn database patterns.
» Security
This database provides a high level of authentication with Active Directory integration and protection including audit logs, data encryption, and data-masking.
» Pros
1. Strong user interface
2. Can be accessible from anywhere
3. User-friendly
» Cons:
1. More expensive
2. Long initial loading
3. Interoperability
5. MongoDB Atlas
MongoDB Atlas is the most popular open-source NoSQL database that offers scalability and capabilities for automation. Developers can speed up their delivery models without any database admin hand-holding.
» Features:
» Scalability
It empowers businesses with horizontal database scalability, which enables easier scalability.
» Security Measures
It uses a multilayered approach to protect the information.
» Technical Support
They work with the vendor directly to find out what’s going on and there is no more interaction with the support and maintenance obligations.
» Pros
1. Flexibility and scalability
2. Quick installation and setup
3. Strong support community
» Cons:
1. Uses only NoSQL only
2. Can be challenging for new users
3. Laggs with larger datasets
Conclusion
Many cloud services offer database-as-a-service. Each has its strengths and weaknesses, so choosing the right one for your needs is important. In this blog, we've looked at some of the top cloud services for database as a service.
We hope this has helped you narrow your choices and find the right service. But still, if you are feeling stuck somewhere, then make sure to seek help from a cloud consulting services company that can help you greatly in resolving all your doubts and confusions regarding the same.
Frequently Asked Questions
Q 1. What Is An Example Of Database-as-a-service In Cloud Computing?
Ans. The most common examples of database as a service in cloud computing are AWS, Google Cloud, Microsoft, and Oracle. They offer database services that work distinctly and are not effortlessly replicated when trying to switch between them.
Q 2. Is Database-as-a-service A Cloud Service?
Ans. Database-as-a-service or DBaaS is a cloud database. It offers consumers access to a database without deploying and managing the fundamental infrastructure. DBaaS is deployed as an operated database service. This means that the service providers take care of updating, patching, and backing up the database.
Q 3. What Is A Database as a service?
Ans. Database as a service, also termed DBaaS is a cloud computing service that provides its user with access and utilizes a cloud database system without even buying and setting up their personal hardware, downloading their personal database software, and managing or operating the database themselves.
Q 4. Which Cloud Provider Is Best For Database?
Ans. The Amazon Web Services, i.e., AWS and Relational Database Services, i.e., RDS. Among them, AWS is considered one of the greatest and most conventional cloud computing providers in the world. Apart from this, there are Google Cloud SQL, Microsoft Azure SQL Database, and MongoDB Atlas, which are also common and best cloud providers for databases.
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