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Top 10 Cloud Databases in 2024

Top 10 Cloud Databases in 2024

Top 10 Cloud database in 2024 Last Updated : 15 Mar, 2024 In recent years cloud databases have been in high demand among the IT indu

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Top 10 Cloud database in 2024

Last Updated :
15 Mar, 2024

In recent years cloud databases have been in high demand among the IT industries and between developers as the cloud databaseis a standalone database built, deployed, and accessed through a cloud environment. The cloud databaseconsists of all the functionalities of the traditional database along with the cloud computing functionality.

Top 10 Cloud Databases in 2024

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 database that will be used in 2024 .

What is a Cloud Database is is ?

ACloud Database is a type of database that help the developer in organize , storing , and manage the unstructured datum within an organization . cloud databases is offer mainly offer multiple service such as they help in improve innovation and agility .These cloud databases can be offered as managed databases as a service on a cloud-based virtual machine.

Top 10 Cloud database in 2024

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 databasethat 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 option .

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 is consists consist of highly scalable datum storage , BigQuery data service , 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 databasethat 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 is provides provide service relate to Stream analytic , machine learning, and so on .
  • This database is provides provide flexibility and scalability to the developer .
  • Microsoft Azure is also a cost-effective database.
  • diverse datum handling and advanced analytic capability are provide by Microsoft Azure .
  • It can integrate with artificial intelligence and machine learning service .

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 datum that is dynamically change .
  • 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 , anddeployment.

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 array of use case which include big datum project .

5. IBM Db2

IBM Db2 is a type of cloud databasesolution that was developed by IBM for storing, analyzing, and retrieving data more effectively. This database is provides also provide support to the Object orient feature and the relational model . IBM Db2 is helps also help in manage the core business 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 is present present in IBM Db2 improve efficiency.
  • It is deployable on both Amazon Web Services and IBM Cloud.

6. Snowflake

Snowflake is another popular cloud databasethat 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 datum warehouse.
  • 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 is helps help to store the datum by using a columnar storage format which is optimize for the analytical query .
  • It is consists consist of datum exploration and visualization feature .
  • Google Big Query is consists consist of a multi-cloud functionality and it is one of the cost-effective cloud databases used by the developers.
  • This cloud databaseallows 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 databaseplatform 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 is provides provide 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 databasethat 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 is helps help to store the datum as object .
  • It is provides provide superior database performance and scalability .
  • Oracle database consists of an ability to manage the data in a secure hybrid cloud environment.
  • Some of the feature 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 databasealso provides automatic scaling and high performance.

Key Features

  • MongoDB Atlas is provides provide support for robust machine – learn solution .
  • It is a type of principal document database that allows developers to store and work on multiple data types.
  • strong community support is provide in MongoDB Atlas .
  • Mongo DB Atlas is provides providehigh scalability and availability features.
  • It also helps in storing unstructured datum.

conclusion

One of the major important things in businesses is to choose a cloud databasethat will be a perfect fit for the business type based on its features. Hence , a database is consist should consist of an online and independent scalability to ensure the company ’s need and workload . Therefore in this article , detailed knowledge has been provide about the Cloud database and the top 10 Cloud databases which are used in 2024.

Must Read:

FAQs on Top 10 Cloud database in 2024

What do you is mean mean by Cloud Database ?

Cloud database is a type of database which is built to run in a public or in the hybrid cloud environments which helps to organize the store and manage the data.

What is the use of a Cloud database?

cloud database are mainly used to organize and store the structured , unstructured and the semi structured datum . Hence cloud databases is provides also provide benefit of cloud computing which include speed , agility , scalability and so on .

Name the top Cloud database that will be used in 2024 .

Some of the top cloud databases which are used in 2024 are- Google big query, Oracle database, Microsoft Azure, Snowflake, Open stack and so on.

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