Today’s business environment is heavily data-driven, where businesses manage large volumes of data in everyday operations. That’s why it is important that the technology that manages such data is both secure and reliable.
In the world of website hosting, the most common choice for managing such demands is Big Data server and dedicated servers.
Both are quite powerful solutions designed to handle large volumes. In this article, we understand the difference between dedicated server hosting and Big Data to make an informed choice between the two.
What are Big Data Servers?
Big Data servers are servers that deal with a large amount of data, whether it is structured or unstructured. This thorough analysis and support for data management help improve business operations, enabling informed decisions.
The server comes with powerful processing abilities that manage data irrespective of source, keep the data stored and organized to boost efficiency. That functionality increases the cost, making it expensive as it requires special configuration and software to operate.
What is a Dedicated Hosting Server?
A dedicated hosting server is a hosting service that offers an exclusive server for a single user. This exclusivity offers independent space and exclusive resources for its users, facilitating powerful processing for operations.
Similar to a Big Data server, even a dedicated hosting server is a powerful option for managing intensive workloads and large data volumes.
Big Data Server vs Dedicated Server Hosting: Key Difference
| Aspects | Big Data Server | Dedicated Server |
| Writing Method | Big Data server follows an asynchronous writing method. That means the server works on multiple pieces of data simultaneously at once without waiting for others to finish. | In a dedicated server setup, the writing method is synchronous. Data is written in an organised order, completing one task before beginning the next. Multiple data are handled in a structured, grouped together in a logical format. It ensures reliable data handling, facilitating minimal or no delay. |
| Setup | Setting up a Big Data server is complex. | Compared to Big Data dedicated server setup is less complex. |
| Storage | With a Big Data server, make use of a NewSQL database or a NoSQL database. | Even with the best dedicated server hosting, make use of a traditional SQL database. |
| Cost Considerations | Hosting a Big Data server is expensive as it has high hardware costs. | A cheap dedicated server hosting is quite affordable, comparatively. Both hardware and software costs are lower than those of Big Data servers. |
| Infrastructure | The infrastructure is based on a distributed system, though this doesn’t always require multiple servers. | The infrastructure is a single-point infrastructure. |
| Technology | The technology use in Big Data servers is evolving and is in the development stage. | Dedicated server technology has evolved and matured. |
| Performance | Robust performance as it offers parallel processing across several nodes. | Consistent performance ensuring low latency. |
| Security Needs | Security needs for Big Data servers are more complex due to distributed data storage. | A dedicated server is isolated and secure. |
| Use Cases | IoT analytics, Artificial Intelligence, and machine learning operations, log processing, etc | eCommerce hosting,gaming server, and complex financial systems. |
Conclusion
Both dedicated server and Big Data server have unique features, hence the decision should be made based on specific needs and cost considerations. If the workload is not that complex, buy a dedicated server as it is more affordable and manageable.
However, if the data is complex and comes from multiple sources, Big Data servers are the best option.
