Data Grids in Next JS
Unanswered
Karelian Bear Dog posted this in #help-forum
Karelian Bear DogOP
Hi All,
I want to start the topic of data grids filtering and pagination in Next JS.
In my mind when I'm working with datatables I see two main approaches:
Option 1: Client-Side Filtering
Explanation: Load all data into the browser and perform filtering, sorting, and pagination on the client side.
Pros:
Immediate Filtering and Sorting: Fast operations since all data is in memory.
Simple Implementation: Easier to implement as it doesn't require complex backend logic.
Reduced Server Load: Once data is loaded, no additional requests to the server.
Cons:
High Memory Usage: Not suitable for large datasets due to high memory consumption in the browser.
Long Initial Load Time: All data needs to be fetched at once, leading to longer initial load times.
Browser Performance Issues: Can cause performance issues and slowdowns with large datasets.
Option 2: Server-Side Filtering
Explanation: Only load a subset of data into the browser. Filtering, sorting, and pagination are performed on the server, fetching data as needed.
Pros:
Efficient Data Transfer: Suitable for large datasets as only a small portion of data is transferred to the client at any time.
Low Memory Usage: Reduces memory usage in the browser.
Scalability: Better performance and scalability for large datasets.
Cons:
Complex Backend Logic: Requires more complex backend logic to handle filtering, sorting, and pagination.
Potential Latency: Increased latency due to additional server requests for each data operation.
Network Dependency: Performance is dependent on network speed and server response times.
What is everyones approach to datatable I personaly use ag grid and will adapt to use the server side rows function but wondering if there is a better way to handle data tables and filtering efficiently.
I want to start the topic of data grids filtering and pagination in Next JS.
In my mind when I'm working with datatables I see two main approaches:
Option 1: Client-Side Filtering
Explanation: Load all data into the browser and perform filtering, sorting, and pagination on the client side.
Pros:
Immediate Filtering and Sorting: Fast operations since all data is in memory.
Simple Implementation: Easier to implement as it doesn't require complex backend logic.
Reduced Server Load: Once data is loaded, no additional requests to the server.
Cons:
High Memory Usage: Not suitable for large datasets due to high memory consumption in the browser.
Long Initial Load Time: All data needs to be fetched at once, leading to longer initial load times.
Browser Performance Issues: Can cause performance issues and slowdowns with large datasets.
Option 2: Server-Side Filtering
Explanation: Only load a subset of data into the browser. Filtering, sorting, and pagination are performed on the server, fetching data as needed.
Pros:
Efficient Data Transfer: Suitable for large datasets as only a small portion of data is transferred to the client at any time.
Low Memory Usage: Reduces memory usage in the browser.
Scalability: Better performance and scalability for large datasets.
Cons:
Complex Backend Logic: Requires more complex backend logic to handle filtering, sorting, and pagination.
Potential Latency: Increased latency due to additional server requests for each data operation.
Network Dependency: Performance is dependent on network speed and server response times.
What is everyones approach to datatable I personaly use ag grid and will adapt to use the server side rows function but wondering if there is a better way to handle data tables and filtering efficiently.