Top Cloud Databases in 2023
Top Cloud Databases in 2023
The Covid-19 Pandemic triggered the complete digital transformation of many organizations. The cloud-based database management systems have become increasingly popular for many businesses and industries. Cloud databases are suited for customers who are focused on having their applications built without any infrastructure-related issues.
What is a Cloud database?
Today’s organizations need a lot of information and data to succeed in the business, hence maintaining those data and information securely is crucial. A cloud database is developed, managed, stored, and accessed in a cloud environment. These databases function like traditional databases and may be accessed using a web interface.
Cloud databases provide significant benefits over traditional architectures but sometimes integrating with traditional systems can offer many other benefits. Cloud databases are offering a complete solution for every customer, who needs a relational database with a high-performance architecture that is managed and backed by experts with expertise.
Why use a Cloud database?
Data production and collection are growing rapidly. Data is now widespread across on-premises databases and distributed cloud applications and services making it difficult to integrate using traditional methods. Real-time data processing is also becoming crucial for company performance since data transmission lags or delays to mission-critical applications could have disastrous results.
Legacy databases confront substantial difficulties as the adoption of the cloud rises and our use of data changes. The cloud offers many benefits like flexibility, dependability, security, and affordability.
It might be challenging to find the best cloud database for your company with so many options available. This article will provide the details of the top cloud databases currently on the market and what makes them the best.
Top Cloud Databases
1. Oracle DB
It is a relational database management system. It is the first database created specifically for data warehousing and corporate grid computing. The most adaptable and economical method of managing data and applications is provided by enterprise grid computing.
It communicates with the database using SQL queries as the language. Grid computing is the most effective way to manage information and applications.
- Reduces operational costs.
- Provides a secure hybrid environment.
- Provide multiple database support.
- Offers high scalability.
2. MongoDB Atlas
It is a fully managed cloud database that controls all the complexity of deploying, managing, and recovering your deployment from the cloud service provider of your choice such as Azure, AWS, and GCP. MongoDB Atlas is the best way to deploy, run and scale.
- Access control.
- Field-level encryption.
- VPC peering.
- Data encryption in transit.
3. IBM DB2
It is specifically designed to efficiently store, analyse, and retrieve data. IBM DB2 provides easy data operations and maintenance in the cloud. The DB2 products are extended with the support of Object-oriented features and non-relational structures with XML.
- AI-powered functionality.
- Can support all data types.
- High availability with disaster recovery.
- Common SQL engine.
4. Amazon DynamoDB
It is a document database that offers speed in the single-digit millisecond range. It is a fully managed database with built-in security, backup, restore, and in-memory caching for internet-scale applications. More than 10 trillion queries may be processed daily using DynamoDB, with peak rates of more than 20 million requests per second.
- Faster response times
- Highly secured
- Seamless data replication
- Managed serverless architecture
5. Google Cloud SQL
It is a fully managed database service that helps in setup and managing the relational database of the Google Cloud Platform. This database service consists of two primary products, the Big Query analytical tool which can perform queries on significant amounts of data stored in the cloud, and Cloud SQL which specifies a relational database.
- Ensures security and compliance.
- Easy integration.
- Automated backups.
- Data replication.
6. SAP HANA Cloud
It offers database-as-a-service that powers petabyte-scale with real-time analytics and mission-critical applications as a single solution. The data that is stored in the SAP HANA cloud can be processed in parallel. This significantly improves the cloud database’s performance and speeds up access to the data.
- Integrated multitier storage.
- Transactional and analytical processing
- Embedded AI.
7. Amazon Relational Database
It is a web service that can easily set up, run, and scale the relational database in the AWS cloud. It performs typical database administration activities and offers affordable, resizable capacity for an industry-standard relational database.
- Availability and durability.
- Lower administrative burden.
- Monitoring and metrics.
8. Amazon Redshift
It is a big data analytics service that gathers data from multiple sources. It helps in connecting your data across your data. Amazon Redshift can be used for large-scale data migrations.
- Faster performance
- Highly scalable
- Easy to set up, deploy and manage.
9. Maria DB
It is a quick scalable, open-source relational database management system and an advanced version of MySQL. MariaDB is used to power its mission-critical applications because it offers better prices and performance than cloud hyperscalers.
- Access controls and permissions
- Backup and Recovery
- Audit management
- Custom development
There are a larger number of cloud databases available in the market. Consider your business requirements and choose the best suited for your organization. Cloud databases are simple to use and suitable for a wide number of business applications.
Sapizon Technologies is a seasoned cloud service provider for various industries. We offer Cloud consulting, operations, and modernization services.
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