Top 10 Cloud Databases in 2025 (original) (raw)
Last Updated : 6 Aug, 2025
In recent years cloud databases have been in high demand among the IT industries and between developers as the **cloud database is a standalone database built, deployed, and accessed through a cloud environment. **The cloud database consists of all the functionalities of the traditional database along with the cloud computing functionality.
Cloud databases are highly scalable and they are a perfect choice for the fast deployment purpose. Therefore in this article, comprehensive knowledge has been provided about the Cloud database and **the top 10 Cloud databases that will be used in 2025.
What is a Cloud Database?
A **Cloud Database is a type of database that helps the developers in organizing, storing, and managing the unstructured data within an organization. Cloud databases mainly offer multiple services such as they help in improving innovation and agility. **These cloud databases can be offered as managed databases as a service on a cloud-based virtual machine.
Top 10 Cloud Databases in 2025
There are multiple different Cloud databases that are available in the market and used by software developers. Some of these cloud databases are mentioned below:
1. Google Cloud Platform
**Google Cloud Platform is another famous cloud database that is used by developers and it offers a wide range of managed database services. Google Cloud platform is offered by Google which mainly provides a series of modular cloud services. This platform also provides both **NoSQL database and relational database options.
**Key Features
- Google Cloud platform consists of detailed documentation which is good for small as well as big-sized businesses.
- It provides security for sensitive workloads.
- It consists of highly **scalable data storage, BigQuery data services, and so on.
- Google Cloud Platform is a type of public cloud provider that provides cloud storage that **stores data up to 10TB in the cloud.
- It consists of a high bandwidth connection which lets the developers quickly download and upload the data.
2. Microsoft Azure
**Microsoft Azure is a type of cloud database that is mainly used to develop high-performance applications whether it is of small or large size and this database is used in multiple firms. This database also provides a choice between **relational and **non-relational databases depending on the needs of the applications.
**Key Features
- It provides services related to Stream analytics, machine learning, and so on.
- This database provides flexibility and scalability to the developers.
- Microsoft Azure is also a cost-effective database.
- Diverse data handling and advanced analytics capabilities are provided by Microsoft Azure.
- It can integrate with artificial intelligence and machine learning services.
3. Amazon DynamoDB
**Amazon DynamoDB is another popular database which is a fully managed **NoSQL database offered by Amazon. This database is one of the fastest databases which allows the developers to develop database tables that can store and retrieve any amount of data. Amazon DynamoDB is also used to provide consistent performance at any scale.
**Key Features
- It supports both document data models and key values.
- It also provides support for ACID transactions.
- It is used to handle the data that is dynamically changing.
- It helps to secure the data with continuous backups of the data.
- It allows the storage of a data index by a unique identifier key.
4. OpenStack
**OpenStack is an open-source popular database that provides developers to develop and manage both private and public **cloud infrastructures. OpenStack is used to provide the core functions of the public cloud. This database also supports **web hosting, **container, and **deployment.
**Key Features
- OpenStack is a highly scalable database.
- It has the capability to serve content directly from the storage.
- It is used for building and managing public and private clouds.
- The main key features of OpenStack are that it includes storage, portability, and security.
- It supports a **wide range of arrays of use cases which includes big data projects.
5. IBM Db2
**IBM Db2 is a type of cloud database solution that was developed by IBM for storing, analyzing, and retrieving data more effectively. This database also provides support to the **Object Oriented features and the relational models. IBM Db2 also helps in managing the core businesses all across an organization.
**Key Features
- **IBM Db2 helps in enhancing operational database management solutions.
- It also provides workload performance optimization and data security.
- It is used to store and manage customers' data, financial transactions, and so on.
- The machine learning algorithms present in IBM Db2 improve efficiency.
- It is deployable on both **Amazon Web Services and **IBM Cloud.
6. Snowflake
**Snowflake is another popular cloud database that is used by developers which helps in managing the different parts of the data storage process. This database also helps in enabling organizations to automate data management, data resiliency, security, and so on. Snowflake also provides query and table optimization.
**Key Features
- It is also used to develop data warehouses****.**
- Snowflake offers **secure data sharing and zero-copy cloning.
- It also offers two features which are advanced such as Time travel and fail-safe.
- Data sharing, export, and import features are available in Snowflake.
- Snowflake provides **two-factor security authentication.
7. Google Big query
**Google Big Query is a popular **cloud-based database that is used for managing and analyzing data with built-in features like **machine learning and so on. It helps the developers to analyze the data in real-time. By using Google Big Query developers don’t require a database administrator.
**Key Features
- Big query is a highly scalable data warehouse that comes with a built-in query engine.
- It helps to store the data by using a columnar storage format which is optimized for the analytical queries.
- It consists of data exploration and visualization features.
- **Google Big Query consists of a multi-cloud functionality and it is one of the cost-effective cloud databases used by the developers.
- This cloud database allows to analyze the complex and large data sets by using **SQL.
8. Amazon Relational Database Service
**Amazon Relational Database Service is a world-famous cloud database platform that is a good choice for software developers and it is mostly used by multiple businesses. This database is used by multiple businesses to set up and operate relational databases in the AWS cloud****.** It is used to store data such as records, tables, and so on.
**Key Features
- This database helps the organizations to handle the relational database management tasks.
- With the help of **RDS, it is easy to back up and retrieve the data whenever needed.
- It provides high performance and it can also be run on**MySQL****, Oracle**, and others.
- This database is used for replication and failure detection.
9. Oracle Database
**Oracle database is another popular cloud database that uses memory processes and structure in order to manage and access the database. This database is a type of object relational database management system which is a fully scalable and configurable database solution.
**Key Features
- Oracle database helps to store the data as objects.
- It provides superior database performance and scalability.
- Oracle database consists of an ability to manage the data in a secure hybrid cloud environment.
- Some of the features are- user authentication, auditing, access control, and data encryption.
- Backup and recovery features are also provided by the Oracle database to the software developers.
10. MongoDB Atlas
**MongoDB Atlas is another popular non-relational database management system that mainly uses flexible documents instead of tables and rows. With the help of MongoDB Atlas, developers can develop multiple databases on the **MongoDB server. This cloud database also provides automatic scaling and high performance.
**Key Features
- MongoDB Atlas provides support for robust machine-learning solutions.
- It is a type of principal document database that allows developers to store and work on multiple data types.
- Strong community support is provided in MongoDB Atlas.
- Mongo DB Atlas provides **high scalability and **availability features.
- It also helps in storing unstructured data.
Conclusion
One of the major important things in businesses is to choose a cloud database that will be a perfect fit for the business type based on its features. Hence, a database should consist of an online and independent scalability to ensure the company’s needs and workloads. Therefore in this article, detailed knowledge has been provided about the Cloud databases and the top 10 Cloud databases which are used in 2025.
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