Lazy Loading
A plugin Boost that prevents dashboards from loading widgets until the user scrolls to them.
Blazing fast dashboard loading is finally here 🙂
Unlock ultimate performance by installing the Advanced Lazy loading plugin.
The innovation: Paldi’s Advanced Lazy Loading makes sure that only widgets that are shown in the user's dashboard will send a query against the database.
Reduce costs and get an immediate ROI:
- Whenever you use Live models in Sisense, every query sent to your database eventually sums up and affects your monthly database expenses.
- With Paldi’s Advanced Lazy loading plugin you will minimize the number of queries sent to your cloud databases and save money.
- Best for databases such as: Athena, RedShift, BigQuery, Data Bricks, Snowflake, and Azure.
And it gets even better - Paldi’s Advanced Lazy loading will boost performance for every dashboard agnosticly to the cube method (ElastiCube\Live model.
See it in Action!
How Paldi’s plugin helps you to boost performance and save money?
- Lazy Loading recognizes which widgets are "Above The Fold" (I.E. currently visible on the screen), and then prevents all the non-visible widgets from sending out their queries to the ElastiCube\ Live model until they become visible (usually by scrolling down the page).
- The plugin significantly reduces the time it takes for the dashboard to finish up its initial loading and be ready for the user.
- As a result, the user will have a much smoother experience when navigating between dashboards.
- Another result is that fewer queries are sent to the ElastiCube\ Live model which leads to better performance on the server side as well.
- The performance boost is even more impressive when discussing mobile browsing as it turns the mobile experience to be blazing fast.
- This plugin also takes into account usage of the Tabber and Accordion widgets and applies to their hidden widgets as well (I.E. widgets on in-active tabs won't send their queries until the user navigates to them).
Keen to try it out? Contact us!
We also recommend reading the below posts that provide additional information about performance monitoring and potential pitfalls: