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Top 10 Cloud Services For Database-as-a-Service

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  • Difficulty Level : Basic
  • Last Updated : 01 Nov, 2021

Before getting into Database-as-a-Service (DBaaS), let’s first know what a Database is. A Database is a collection of information or data which holds the content of our company or application. It is the backend and the most important aspect which takes place in the background. If we decide to set up a database for our company like the conventional one, it would cost us a lot of money and would take a lot of time for maintenance and there is no guarantee of 24*7 availability and everything has to be done manually by us. But on the other hand, if we shift from conventional databases to Cloud Database-as-a-Service we would save a lot of money and the availability is high. 

Top-10-Cloud-Services-For-Database-as-a-Service

In the Cloud Database-as-a-Service, we do not need to do the maintenance checks instead some of the best engineers in the field would do it for yourself. In recent times, small companies to some of the bigger players in the software industry, have migrated to the cloud for their databases. So now let’s explore the big players in this field and find out the top ten Database-as-a-Service offered by companies.

1. Oracle Database

Oracle Database is best known for its relational database management system. It is not only suitable for storing the data but also for managing it. It is one of the best in the industry. It has the largest market value in the world. The data retrieval in Oracle is very fast. It also maintains the log properly and scalability and performance are also too good.

Companies using Oracle database in their tech stack: Netflix, Linkedin, eBay, etc.

2. IBM DB2

It is a family of products and it supports various products like databases and database servers. First, they started it as a relational model but later developed it into a non-relational model as well. It is known for its massive scalability and flexibility. It provides enterprise-wide solutions and handles a high volume of workloads. But the one complaint on IBM DB2 is that it is difficult to learn it.

Companies using IBM DB2  in their tech stack: US Foods, Penske, Highmark Inc., etc.

3. Amazon Relational Database Service (RDS)

It is a SQL database service and it is provided by Amazon. It also has features like data migration, backup, and recovery. It is very easy to set up and operate this. It is available on 6 famous database instances like Amazon Aurora, MYSQL, PostgreSQL, MariaDB, Oracle Database, and SQL Server.

Companies using Amazon RDS in their tech stack: Airbnb, Netflix, Amazon, etc.

4. Ninox

Ninox is a user-friendly database that allows us to create business apps. It manages a very large amount of data effortlessly. Ninox is very easily accessible online and very easy to use. It is very simple but allows us to develop complex databases. They also claim it as a no-code platform so it is very fun to use.

Companies using Ninox in their tech stack: Nioxus, SIGOS, etc.

5. MongoDB Atlas

It is a fully-managed database as a service. It is almost perfect for developers. It is NoSQL and one of the best database services available for NoSQL. It is capable of dynamic scaling. It reduces management costs and time to a great extent. It is also very easy to use and learn. But the only drawback is that it allows the creation of only one cluster in the unpaid version.

Companies using MongoDB Atlas in their tech stack: InfoQuest Consulting group Inc, Bench Accounting Inc., etc.

6. Amazon DynamoDB

Amazon DynamoDB is a key-value and NoSQL-based database that allows highly scalable database performance. It is a serverless database. It is trustworthy because it handles more than 10 trillion requests per day and more than 20 million requests per second. In Dynamo DB we can build applications with high throughput and storage.

Companies using MongoDB Atlas in their tech stack: Lyft, Airbnb, Samsung, Toyota, etc.

7. Amazon Aurora

Amazon Aurora database service combines the availability of high-end databases and the cost-effective nature of open source databases together. It fully automates time-consuming tasks like backup provisioning, failure detection, recovery, and repair. It also provides excellent security since the data is encrypted and protected. The main drawback of this is that it is limited to only MySQL and PostgreSQL.

Companies using Amazon Aurora in their tech stack: Fannie Mae, State Farm, Cloudbeds, etc.

8. Google Cloud Firestore

It is a NoSQL document-based database that allows us to easily maintain and store large amounts of data for web apps. It has a very powerful query engine. The SDKs of Google Cloud Firestore save a lot of time for us. Their documentation is also very easy to understand. It also supports a wide range of data types. But the problem is that we cannot do complex queries.

Companies using Google Cloud Firestore in their tech stack: Bepro Company, Postclick, etc.

9. SAP HANA

It helps to create robust database services for innovative applications. It is a column-oriented and relational database. It also has many options to filter or report the needed data. It has many features like flexibility, scalability, etc. It is also very user-friendly. The problem with this is that it has a slow loading time for huge data.

Companies using SAP HANA in their tech stack: US Army and Distribution Companies

10. Azure Cosmos DB

It is NoSQL and has multiple well-defined models. It guarantees the users with high availability and multi-homing capabilities. It uses JSON and it is very easy to track. It is easy to use. The data can be read and inserted very easily here. It also allows us to configure on the go. It also provides full SDK support while connecting it with C#.

Companies using Azure Cosmos DB in their tech stack: Starbucks, Sapient, LoanDepot, etc.

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