NoSQL Databases: The Advantages of Couchbase
Posted: Tue Jan 21, 2025 6:18 am
We invite you to learn about a new comparative report on NoSQL databases and understand the benefits your company can obtain by implementing Couchbase .
Altoros Report: NoSQL Databases
NoSQL encompasses a wide variety of database technologies that were developed in response to an increase in the volume of data, the frequency with which it must be stored, and new needs for real-time access to it.
Altoros conducted a report that evaluated the technical performance of NoSQL databases such as Couchbase Cloud, MongoDB Atlas, and Amazon DynamoDB .
In the study, the performance and latency of these Azerbaijan Phone Number Lead databases are analyzed and compared taking into account 4 different workloads:
The workload related to updates, simulating the usual actions that a user must perform when faced with an e-commerce solution.
A short-range scanning workload that simulates threaded conversations.
A query whose only filtering option simulates a field selection with pagination.
A JOIN query with grouping and sorting that simulates a selection of complex parent-child relationships with categorization.
Regarding the details, the first workload performs a large update activity where 50% is dedicated to readings and the remaining 50% to data updates.
The second burden, referring to short-range scanning, involves 95% of scans and only 5% of updates.
In the third point , the workload represents a query with a single filter option to which an offset and a limit are applied. The fourth workload refers to a JOIN query with grouping and sorting applied.
Furthermore, the evaluation was performed on three cluster configurations: 6, 9, and 18 nodes.
The Yahoo Cloud Serving Benchmark was used as the default tool for evaluation consistency: an open source specification and set of programs for evaluating the recovery and maintainability capabilities of computer programs.
Advantages of NoSQL databases over traditional ones
Traditional databases , known as relational databases, were not designed to cope with the scalability and agility that today's times demand. And this has been and is a challenge that modern technological applications and tools must face.
Even relational databases are unable to take advantage of the processing power and affordable storage available in today's cloud. This is why more and more companies are deciding to incorporate NoSQL solutions since they provide multiple benefits:
They help achieve the highest levels of performance and uptime for modern application workloads.
NoSQL databases have complex structures with multiple components, and while they can be challenging for engineering teams, they enable data governance like no other tool .
Large investments of time and money are reduced , optimizing resources and making work more efficient.
Findings from the Couchbase Study
Each of the NoSQL databases discussed has its own implementation, features, and specific performance. Therefore, when deploying them in the cloud, it is important to consider these distinctions in order to identify and select the right solution for a particular scenario .
According to the report, the final results show that Couchbase Cloud showed better performance in all the workloads evaluated compared to the other databases.
In terms of queries , it provided great functionality to handle workloads and its cloud engine supported inclusion, filtering, and integration operations on large data sets without the need to model data for each specific query.
As data sets grow, Couchbase Cloud ensures a satisfactory level of scalability across all operations.
Altoros Report: NoSQL Databases
NoSQL encompasses a wide variety of database technologies that were developed in response to an increase in the volume of data, the frequency with which it must be stored, and new needs for real-time access to it.
Altoros conducted a report that evaluated the technical performance of NoSQL databases such as Couchbase Cloud, MongoDB Atlas, and Amazon DynamoDB .
In the study, the performance and latency of these Azerbaijan Phone Number Lead databases are analyzed and compared taking into account 4 different workloads:
The workload related to updates, simulating the usual actions that a user must perform when faced with an e-commerce solution.
A short-range scanning workload that simulates threaded conversations.
A query whose only filtering option simulates a field selection with pagination.
A JOIN query with grouping and sorting that simulates a selection of complex parent-child relationships with categorization.
Regarding the details, the first workload performs a large update activity where 50% is dedicated to readings and the remaining 50% to data updates.
The second burden, referring to short-range scanning, involves 95% of scans and only 5% of updates.
In the third point , the workload represents a query with a single filter option to which an offset and a limit are applied. The fourth workload refers to a JOIN query with grouping and sorting applied.
Furthermore, the evaluation was performed on three cluster configurations: 6, 9, and 18 nodes.
The Yahoo Cloud Serving Benchmark was used as the default tool for evaluation consistency: an open source specification and set of programs for evaluating the recovery and maintainability capabilities of computer programs.
Advantages of NoSQL databases over traditional ones
Traditional databases , known as relational databases, were not designed to cope with the scalability and agility that today's times demand. And this has been and is a challenge that modern technological applications and tools must face.
Even relational databases are unable to take advantage of the processing power and affordable storage available in today's cloud. This is why more and more companies are deciding to incorporate NoSQL solutions since they provide multiple benefits:
They help achieve the highest levels of performance and uptime for modern application workloads.
NoSQL databases have complex structures with multiple components, and while they can be challenging for engineering teams, they enable data governance like no other tool .
Large investments of time and money are reduced , optimizing resources and making work more efficient.
Findings from the Couchbase Study
Each of the NoSQL databases discussed has its own implementation, features, and specific performance. Therefore, when deploying them in the cloud, it is important to consider these distinctions in order to identify and select the right solution for a particular scenario .
According to the report, the final results show that Couchbase Cloud showed better performance in all the workloads evaluated compared to the other databases.
In terms of queries , it provided great functionality to handle workloads and its cloud engine supported inclusion, filtering, and integration operations on large data sets without the need to model data for each specific query.
As data sets grow, Couchbase Cloud ensures a satisfactory level of scalability across all operations.