How Cloud Databases Can Transform Your Business – Insights from an IT Company in Manchester
Manchester, United States - May 26, 2025 / New England Network Solutions - Manchester Managed IT Services Company /
Manchester IT Company Explains How Cloud Databases Can Transform Your Business
Managing databases can be a complex and costly endeavor for many businesses. Traditional databases often require significant hardware investments, ongoing maintenance, and dedicated IT staff, which can strain resources and budgets.
These challenges make it difficult for companies to scale and adapt to changing needs. Cloud database solutions offer a modern alternative, addressing these pain points by providing scalable, cost-effective, and easily managed database environments, which is why 200 ZB of data will be stored in the cloud by 2025.
As Michael Kourkoulakos, CEO of NENS, says, “Cloud databases revolutionize data management by offering unmatched scalability, cost savings, and flexibility, making them an essential tool for modern businesses.”
Today, a leading IT company in Manchester will uncover the numerous advantages of cloud databases, including their types and why businesses should consider them.
Understanding these aspects will help businesses make informed decisions about their database management strategies, leveraging the power of cloud computing to drive efficiency and innovation.
What is a Cloud Database?
A cloud database is a database that runs on a cloud computing platform, accessible via the internet. Unlike traditional databases hosted on physical servers within an organization, cloud databases are hosted on virtual machines that leverage the cloud service provider’s infrastructure.
This means businesses can access their data from anywhere at any time, providing unmatched flexibility and convenience.
Types of Cloud Databases
Relational Databases
Relational databases in the cloud, such as, Azure Relational DB, Amazon RDS, and Google Cloud SQL, offer structured data storage with SQL querying capabilities. They are ideal for applications requiring ACID compliance and complex transactions.
NoSQL Databases
NoSQL databases, like Azure NoSQL, MongoDB and Couchbase, provide flexibility in data modelling and are perfect for handling unstructured data. They offer scalability and high performance, making them suitable for big data applications.
Database as a Service (DBaaS)
DBaaS simplifies database management by providing a fully managed service, taking care of infrastructure, maintenance, and updates. This allows businesses to focus on their core operations without worrying about database administration.
NewSQL Databases
These aim to combine the scalability of NoSQL with the ACID guarantees of traditional SQL databases. Examples include Google Spanner and CockroachDB.
Comparison of Cloud Database Services
Feature | Amazon RDS | Microsoft Azure SQL Database | Google Cloud SQL | IBM Db2 on Cloud |
Supported Databases | MySQL, PostgreSQL, Oracle, SQL Server, MariaDB, Amazon Aurora | SQL Server, MySQL, PostgreSQL | MySQL, PostgreSQL, SQL Server | IBM Db2 |
Pricing Model | Pay-as-you-go, Reserved Instances | Pay-as-you-go, Reserved Instances | Pay-as-you-go, Sustained use discounts | Pay-as-you-go, Subscription |
Security Features | Encryption, VPC, IAM, Multi-AZ deployments | Encryption, Virtual Network, Active Directory | Encryption, VPC, IAM | Encryption, VPC, IAM, Active Directory |
Backup and Restore | Automated backups, snapshots, point-in-time recovery | Automated backups, Geo-redundant storage | Automated backups, snapshots | Automated backups, point-in-time recovery |
High Availability | Multi-AZ deployments, Read replicas | Active Geo-replication, Zone-redundant databases | Regional replicas, Multi-regional availability | Multi-zone availability, Read replicas |
Scalability Options | Vertical and horizontal scaling | Vertical and horizontal scaling | Vertical and horizontal scaling | Vertical and horizontal scaling |
Machine Learning Integration | Amazon SageMaker, built-in AI services | Azure Machine Learning, Cognitive Services | Google AI Platform, AutoML | IBM Watson, AI OpenScale |
Advantages of Cloud Databases
Scalability and Flexibility
Cost Efficiency
High Performance and Availability
Data Security
Disaster Recovery
Disaster recovery is a crucial aspect of cloud database solutions. Cloud service providers typically offer comprehensive disaster recovery plans that include automated backups, redundant storage, and quick restoration capabilities.
In the event of a data loss incident, whether due to hardware failure, human error, or a cyberattack, businesses can quickly restore their databases from the most recent backup.
Real-Time Analytics
Cloud databases often support real-time data processing and analytics, which is a significant advantage for businesses that need to make timely decisions based on the most current information. Real-time analytics allow organizations to monitor key performance indicators, customer behaviors, and market trends as they happen.
Integration with Machine Learning
Many cloud platforms offer seamless integration with machine learning (ML) tools, allowing businesses to harness the power of artificial intelligence (AI) for data analysis and decision-making. This integration enables companies to develop and deploy ML models directly within their cloud database environment, facilitating advanced analytics and predictive modelling.
Disadvantages of Cloud Databases
Despite their numerous benefits, cloud databases also come with some disadvantages:
Vendor Lock-In
One of the most significant disadvantages of cloud databases is vendor lock-in. When a business relies heavily on a single cloud service provider, switching to another can become difficult and costly. This dependency arises because each provider has its own proprietary tools, APIs, and data storage formats, which may not be compatible with another provider’s.
Data Privacy Concerns
Storing sensitive data on the cloud raises considerable concerns about data privacy and compliance with various regulations, such as the General Data Protection Regulation (GDPR) in Europe. Cloud providers typically store data across multiple locations, sometimes even across different countries, which can complicate compliance with local data protection laws.
Latency Issues
The inherent latency of cloud networks can pose a problem for applications that require extremely low latency, such as real-time trading systems or high-frequency data processing applications. Unlike on-premises databases, where data is stored locally and can be accessed almost instantaneously, cloud databases rely on internet connectivity, which introduces latency.
Internet Dependency
Cloud databases require a stable and reliable internet connection. Any disruption in internet service, whether due to technical issues, network outages, or local infrastructure problems, can impact data accessibility. This dependency on internet connectivity means that during periods of downtime, businesses may not be able to access their critical data, leading to interruptions in operations and potential revenue loss.
Enhance Your Data Strategy with a Trusted IT Company in Manchester
Cloud databases are transforming how businesses manage and utilize their data, offering unparalleled benefits in scalability, cost-efficiency, and performance. Embracing cloud solutions enables organizations to stay competitive and agile in a data-driven world.
Contact a trusted IT firm in Manchester today to schedule a free consultation and discover how we can transform your database management strategy.

Contact Information:
New England Network Solutions - Manchester Managed IT Services Company
1087 Elm St Suite 236
Manchester, NH 03101
United States
Jane Doe
(855) 918-2126
https://www.nens.com/
Original Source: https://www.nens.com/advantages-of-cloud-database/