Top Cloud-Based Database Software

Top 4 Cloud-Based Database Software
Cloud-Based Database Software

A Cloud-Based Database Software is a database software created and accessible over the internet.

It performs much of the same tasks as a conventional database but with the additional benefit of cloud computing availability. To implement the database, users install applications on a cloud infrastructure.

A Cloud-Based Database Software, also known as DBaaS (Database as a device), is a database cloud service that manages the underlying architecture and services that cloud databases require.

Cloud-Based Database Software encourages businesses to benefit from cloud computing while freeing up staff to work on other activities. 

Cloud-Based Database Software

Cloud-Based Database Software helps businesses be up and running efficiently without the need for many consultants, as a Cloud-Based Database Software will also be set up with only a few taps. 

As the cloud industry leaders, AWS, Azure, and Google Cloud provide Cloud-Based Database Software offerings in various flavors, including MySQL cloud databases, Microsoft SQL Server PostgreSQL, Oracle, and NoSQL databases like Hadoop or MongoDB, among others.

Key features of Cloud-Based Database Software are:

  • A cloud-based database computing infrastructure that you can access from anywhere.
  • Allows business customers to host databases without having to purchase dedicated hardware.
  • The customer can handle it or be provided as a service and managed by the provider.
  • A cloud-based database supports both relational and non-relational databases (including MySQL and PostgreSQL), including MongoDB and Apache CouchDB.
  • Accessed by a web interface or an API supported by the vendor

Types of Database Management Software

The traditional cloud model and Database-as-a-Service are the two types of Cloud-Based Database Software. They are:

  • Traditional cloud model: The content database operates on the servers of the specific organization in the traditional cloud model, and all control is in the hands of the IT manager and employees. 
  • DBaaS: DBaaS operates on the service provider’s hardware, which is responsible for any problems or bugs that may arise. The consumer should concentrate entirely on activities, growth, and business objectives.

What are the benefits and concerns of using Cloud-Based Database Software?

The benefits of using Cloud-Based Database Software are as follow:

  • Less Hardware Requirement – Since the cloud storage provider takes care of servicing and infrastructure, businesses may spend less money on hardware and services and IT. There are also fewer problems and disputes, which can obstruct development.
  • Greater Scalability – Using a DBaaS enables streamlined and smooth scalability during peak periods or ahead of significant launches with strict deadlines. DBaaS is an ample opportunity for small businesses that don’t have the money or capital to invest in on-premise technology.
  • Budget-friendly – When it comes to cloud databases, not having to think about operational expenses or expensive updates is just the beginning. Most DBaaS systems are also available in various setups, making it possible for businesses to pay for just what they want.
  • Appreciate the Fresh Innovations – Organizations no longer have to think about spending money on emerging technology because the cloud provider handles (and is solely responsible for) updating infrastructure. Companies often don’t need to recruit full-time employees for recruitment and onboarding.
  • Security – Like the previous benefits, today’s top providers are concerned with security and invest in the latest possible tools to keep databases secure. While no solution is foolproof, it is proving to be a more secure way to defend sensitive data and information with less room for error.

Concern for using Cloud-Based Database Software

The main four concerns of Cloud-Based Database Software are:

  • Control option: You may choose between virtual machine images operated as a standard database or a database as a service provided by a vendor (DBaaS). 
  • Database technology: Scaling SQL databases is complicated, but they are very general. While NoSQL databases scale more quickly, they are incompatible with some applications.
  • Security: The majority of cloud database vendors encrypt data and offer other security features; businesses can investigate their choices.
  • Maintenance: When using a virtual machine picture, ensure that IT workers can maintain the underlying architecture.

Some of the Cloud-Based Database Software are:

Amazon Web Service (AWS)

AWS database is simple cloud-based database software with setting up, operating, and scaling a relational database in the cloud.

It offers scalable capability at a low cost while automating time-consuming administration activities like hardware provisioning, database configuration, patching, and backups.

It lets you concentrate on your applications, providing them with the high performance, availability, protection, and usability they need.

Amazon Web Service (AWS) database provides you with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server, and is available on multiple databases instance models tailored for memory, performance, or I/O.

You can securely move or copy the current databases to Amazon RDS using the AWS Database Migration Service.

Amazon Web Service (AWS) Cloud-Based Database Software

The following are some of the Amazon Web Service (AWS) database latest offerings:

  • Amazon RDS (Relational Database Service) is a database service that operates on Oracle, SQL, or MySQL domain instances.
  • Amazon SimpleDB – This is a schema-less database that is designed for smaller workloads.
  • Amazon DynamoDB – This is a NoSQL database (SSD) that automatically replicates workloads across three compatibility zones.

Key features of Amazon Web Service (AWS)

  • There are over 15 database engines to choose from, including relational, key-value, text, in-memory, graph, time series, large column, and ledger databases.
  • AWS’s database portfolio supports a wide range of data models and enables you to create use-case-driven, fully flexible, and distributed applications.
  • Get relational databases 3-5 times faster than the competition or non-relational databases with microsecond to sub-millisecond delays. 
  • AWS constantly tracks your clusters to keep your workloads going with self-healing storage and automatic scaling.
  • AWS databases allow multi-region, multi-master replication and provide complete data protection, including network isolation and end-to-end encryption.
  • AWS databases are designed for corporate workloads that require high availability, reliability, and security.

Pros of Amazon Web Service (AWS)

  • AWS is simple to use, and the software was created with fast and safe access in mind. Users have complete control of their data and can make changes anytime and whenever they choose.
  • AWS still allows you to access your operating systems, programming languages, and website platforms. 
  • You can build your virtual computing environment with a service like AWS EC2 by setting up your preferred operations.
  • AWS offers a robust, secure infrastructure to protect the data’s privacy. 
  • AWS completes tasks correctly as needed and provides various features that make it more dependable, such as the ability to quickly recover from failure.

Cons of Amazon Web Service (AWS)

  • There are some restrictions on EC2 and stability in AWS.
  • AWS Database does not have automated partition management.

Oracle Database

The Oracle Database software offers autonomous and co-accomplish Oracle Database cloud solutions.

Autonomous databases are prearranged, fully-achieved settings appropriate for either transaction handling or data warehouse jobs.

Co-accomplished solutions are simple metal, virtual machine, and Exadata DB systems that you can modify with the properties and settings that encounter your requirements.

Oracle NoSQL Database Cloud Service uses Oracle Cloud Infrastructure’s new component technology to deliver high performance at scale.

As their throughput and storage requirements grow, developers know that their applications can return data with predictable latencies.

Oracle Database Cloud-Based Database Software

The Oracle NoSQL Database Cloud Service allows users to set a time limit for table rows, after which the rows will expire and become unavailable. This functionality is a must-have when collecting sensor data for Internet of Things (IoT) services.

Key features of Oracle Database

  • Straightforward APIs: The Oracle NoSQL Database Cloud Service offers simple CRUD (Build Read Update Delete) APIs that make it simple for developers to build and manage tables.
  • Data Modelling: Oracle NoSQL Database Cloud Service supports both schema-based and schema-less (JSON) modeling.
  • Data Safety in Redundancy: The Oracle NoSQL Database Cloud Service stores data in single AD regions across different Availability Domains (ADs) or Fault Domains (FDs). User data is still usable from another AD or FD if one AD or FD becomes inaccessible.
  • Data Security: Advanced Encryption Standard (AES) is used to encrypt data at rest (on disk) (AES 256). HTTPS is used to encrypt data in transit (between the program and the Oracle NoSQL Database Cloud Service).
  • Fully Managed with Zero Administration: Developers don’t have to worry about managing data storage, networks, or encryption because it’s all taken care of for them. Oracle takes care of the hardware and software, allowing developers to concentrate on their work.

Pros of Oracle Database

  • Oracle’s database can be ported to more formats than any of its competitors.
  • With transaction monitoring and locking, the Oracle database increases the efficiency and speed of consideration.
  • The most significant benefit that people get from using the Oracle database is that they can manage multiple databases with the same transaction.
  • The Oracle database supports a large number of third-party interfaces. Furthermore, since competent personnel is readily available, you would be able to obtain additional assistance.
  • Oracle database has good backward compatibility, so you won’t have to rewrite an application while updating the database management system.

Cons of Oracle Database

  • Oracle database is a bit expensive.
  • In terms of managing specific tasks, Oracle databases are usually even more complicated and difficult.


The IBM DB2 database management system, is a series of relational database management systems (RDBMS).

DB2 provides clients with a way to manage structured and unstructured data stored on-premises and in the cloud.

These AI-powered hybrid data management products effectively deliver data insights while being agile and customizable.

IBM Cloud database systems provide a comprehensive set of managed data and analytics offerings, a hybrid, open source-based approach that meets the data-intensive requirements of technology developers, data scientists, and IT architects, delivering immediate and long-term benefits.

IBM DB2 Cloud-Based Database Software

The IBM DB2 family helps the company pursue the importance of AI by making your data accessible and open.

IBM Db2 on Cloud is a fully-managed SQL cloud database that offers a dedicated operations team, point-in-time recovery, high-availability disaster recovery (HADR) technology with multimode region support, and independent scaling to protect your enterprise applications.

Key features of IBM DB2

  • Supported by artificial intelligence, Machine learning can be used to refine workloads and requests for much quicker querying. 
  • Built with AI in mind, Take advantage of quicker data analysis, more dynamic relationship modeling, and data science tool support. 
  • Designed for implementation in a hybrid multi-cloud environment in a transparent, extensible data and AI infrastructure that runs on a cloud, you can accelerate your path to AI and simplify how your company functions.
  • Multiple data types and languages are supported like NoSQL, pureXML, Graph, and JSON is all options and builds in Java,.Net, Ruby, Python, Perl, and other programming languages.
  • With a transparent, extensible data and AI infrastructure that runs on every cloud, you can accelerate your path to AI and simplify how your company functions.
  • Advanced security: With essential corporate control, you can take advantage of built-in native encryption.

Pros of IBM DB2

  • It’s better for reporting purposes in a BW landscape where quick data retrieval is needed. 
  • The DB2 is a simpler and lighter version of the DB1. 
  • Administration of the database is easy, and it necessitates less effort. Both in terms of version and FP updates, it’s easy.
  • Any update has better quality on the previous one’s performance.
  • The DB2 engine’s most valuable quality is perhaps its dependability.

Cons of IBM DB2

  • The query tools of IBM DB2 are a little missing.
  • IBM DB2 provides just an average Customer Service.

MongoDB Atlas

MongoDB Atlas offers you an automated setup provisioning, setup, and live connection so your teams can get the database resources they need when they need them.

Patches and more minor version upgrades are applied automatically. And when you need to modify your cluster, whether to scale out or perform an upgrade, MongoDB Atlas lets you do so in a few clicks with no downtime window required.

Your self-healing clusters with MongoDB Atlas are made up of globally dispersed database instances, ensuring no single point of failure. By allowing cross-region replication, you can achieve multi-region fault tolerance.

MongoDB Atlas also provides powerful features, including continuous backups and point-in-time recovery to improve the stability of your mission-critical development databases.

Mongodb Atlas Cloud-Based Database Software

MongoDB Atlas makes it easy to manage database entry. The database instances are distributed in their Virtual Private Cloud (VPC) to maintain network separation.

IP whitelisting or VPC peering, always-on authentication, encryption at rest and encryption in transit, advanced role-based access control, and more are among the other security features.

Key features of MongoDB Atlas

  • Robust Security Arrangements: A company’s worst fear is a data breach. To protect this data, MongoDB Atlas employs a multilayered approach. The following security features are included:
    • Regulation of access
    • Peering between VPCs
    • Whitelists with IP addresses
    • Securing data in transit and at rest
    • Encryption at the field level
  • Extensive Analytical and monitoring capabilities: The built-in tracking and reporting tools provide actionable insights into the success of your servers.
  • Resources for Technical Assistance: If you need more help, the Atlas Pro and Atlas Enterprise service levels have end-to-end support directly from the MongoDB engineers who created the database technology.
  • Features with Built-in Automation: There will be no more monotonous activities! The following automation features for database management will help you gain a competitive edge:
    • Provisioning, setup, and configuration of hardware
    • Upgrades and patches for software
    • Disaster recovery and backups

Pros of MongoDB Atlas

  • The MongoDB Atlas cluster outperforms any other service of its kind in terms of efficiency, enabling us to generate customized reads with data mapping as our top priority. 
  • The database material submitted to MongoDB Atlas is backed up and is not immediately removed for a certain amount of time. 
  • It is easy to browse JSON documents from anywhere in MongoDB Atlas without having to use a specific language to do so.
  • MongoDB Atlas’s excellent data mobilization capability will help you boost your cloud data traffic capabilities.
  • If you’ll learn to use the backup mechanics of MongoDB Atlas, it’s a simple piece of software to use.

Cons of MongoDB Atlas

  • MongoDB Atlas doesn’t have a style that’s geared for sensitive management.
  • When using a mobile phone to scan the website, MongoDB Atlas must deal with criteria like search parameters as you’re limited to just one.


As part of a larger software-as-a-service rollout, moving a database to the cloud can improve business application efficiency.

As a result, making information accessible through internet-based connections is simplified. Moving a company’s databases to the cloud will also consolidate storage.

Hence, you will theoretically scale up your development cycle while saving money and energy if you have a sound cloud database infrastructure.

That said, this list of solutions is not comprehensive in any way. Please feel free to recommend any cloud databases that we might have forgotten.

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