# JavaScript Chart Performance: Plotting 10 Million Datapoints in under 25ms

At SciChart we like to push the boundaries of performance to meet the needs of our customers creating cutting-edge applications.

Our software is used by companies that require the fastest possible 2D & 3D charts such as Formula One, research & scientific innovation, medical companies and more. So, when they ask us to push the boundaries of performance even further, we spare no expense!

Previously we wrote about SciChart.js, our fast [JavaScript Chart library](https://www.scichart.com/javascript-chart-features/) which could load 1 Million datapoints in under 15ms. This is a pretty cool feat but what if I told you with our cutting-edge technology SciChart can do even more?

![](https://www.scichart.com/wp-content/uploads/2022/05/image-20.png align="left")

By utilising SciChart’s award-winning C++ graphics engine, cross-compiled into WebAssembly and WebGL, we’ve enabled further optimisations in our [JavaScript charts](https://www.scichart.com/javascript-chart-features/).

> With our latest optimisations (internal build) **SciChart.js can now render 10,000,000 datapoints (10 Million Datapoints) in under 25 milliseconds**.

Here’s a quick  video:

<iframe width="760" height="450" src="https://www.youtube.com/embed/gZIivKIpaO4?list=TLGGLq1DghlATQgyMDA2MjAyNQ"></iframe>

10 Million points plotted in 25 ms 🤯 A testament to our teams dedication to the fastest possible JavaScript chart control!

## **Pushing the Boundaries of JavaScript DataVisualization**

Well that’s ***awesome*** but can we do any more?

Theoretically we can. SciChart’s proprietary technology allows for ultra-large datasets in charts & graphs, making us perfect for Big-data and demanding real-time charting applications. We currently hold the unofficial record for the **largest number of datapoints visualised** in a Windows chart control at [**64 Billion datapoints**](https://www.youtube.com/watch?v=wBJ7r9rTs_4).

Due to our innovative tech stack where we share a vast and thoroughly road-tested C++ code across platforms, plus [our team of experts](https://scichart.com/about-us) in performance optimisation, **SciChart.js can theoretically be made to draw ultra large datasets up to billions of datapoints**. But is that what you need in your browser or electron applications? If so, get in touch with us and let’s discuss.

If you have a challenging or impossible data-visualization project, [then send us an email](https://www.scichart.com/contact-us/) and we will do our best to help!

## ***About SciChart: High Performance Realtime Charts***

*SciChart provides high performance real–time chart components on the WPF (Windows), iOS, Android and JavaScript platforms. It is our goal to create the best cross-platform Native WPF, iOS, Android and JavaScript 2D & 3D Charts in the world, focusing on performance, developer productivity, ease of use, depth of features and enterprise-grade tech support.*
