Uploaded February 2020 | Updated September 2026, 2 weeks ago
How do you make the world's fastest WPF chart 100x faster? The answer is Visual Xccelerator™. In this benchmark video, we prove how SciChart SDK v6 delivers performance increases of up to 10,000% across critical chart types without changing a single line of your XAML or MVVM code.
We didn't just optimize one specific case. We built a comprehensive, punishing test suite to push our previous versions to the limit and compare them against the new engine. From real-time financial data to unsorted scientific scatter plots, witness the raw difference in rendering speed.
What you'll see:
– Real-time Performance: Handling up to 1 Billion points with massive arrays
– High-Frequency Updates: Appending tens of millions of new data points per second
– Unsorted Data: Rendering 10 Million points of Freeform XY data instantly
– Scatter Charts: Extreme performance with 10 Million scatter points
– Complex Geometry: Stress-testing Band Series with high point counts
– Financial Charting: Benchmarking Candlestick and OHLC Series
– Stacked Series: Performance metrics for Mountain and Column stacks – Data Processing: Optimizing the core algorithms behind the rendering
Why Developers Trust SciChart Benchmarks
– Comprehensive Testing: We test a wide variety of demanding conditions, not just the "easy" ones
– Transparency: We document the exact hardware and scenarios used
– No Compromise: We achieved this speed while keeping the API flexible and MVVM-ready
– Accuracy: A truthful representation of industrial use-cases
Get Full Test Results: scichart.com/scichart-wpf-v6-the-worlds-fastest-wpf-charts
Download the Examples Suite: scichart.com/downloads
Start Free Trial: scichart.com/getting-started
SciChart is defined by performance. We have gone to extreme lengths to measure, test, and optimize rendering speed so you can build the most demanding scientific, financial, and big-data applications.
#WPF #Benchmarks #PerformanceTesting #VisualXccelerator #SciChart #DotNet #BigData #HighFrequencyTrading #SoftwareEngineering #DataVisualization
How do you make the world's fastest WPF chart 100x faster? The answer is Visual Xccelerator™. In this benchmark video, we prove how SciChart SDK v6 delivers performance increases of up to 10,000% across critical chart types without changing a single line of your XAML or MVVM code.
We didn't just optimize one specific case. We built a comprehensive, punishing test suite to push our previous versions to the limit and compare them against the new engine. From real-time financial data to unsorted scientific scatter plots, witness the raw difference in rendering speed.
What you'll see:
– Real-time Performance: Handling up to 1 Billion points with massive arrays
– High-Frequency Updates: Appending tens of millions of new data points per second
– Unsorted Data: Rendering 10 Million points of Freeform XY data instantly
– Scatter Charts: Extreme performance with 10 Million scatter points
– Complex Geometry: Stress-testing Band Series with high point counts
– Financial Charting: Benchmarking Candlestick and OHLC Series
– Stacked Series: Performance metrics for Mountain and Column stacks – Data Processing: Optimizing the core algorithms behind the rendering
Why Developers Trust SciChart Benchmarks
– Comprehensive Testing: We test a wide variety of demanding conditions, not just the "easy" ones
– Transparency: We document the exact hardware and scenarios used
– No Compromise: We achieved this speed while keeping the API flexible and MVVM-ready
– Accuracy: A truthful representation of industrial use-cases
Get Full Test Results: scichart.com/scichart-wpf-v6-the-worlds-fastest-wpf-charts
Download the Examples Suite: scichart.com/downloads
Start Free Trial: scichart.com/getting-started
SciChart is defined by performance. We have gone to extreme lengths to measure, test, and optimize rendering speed so you can build the most demanding scientific, financial, and big-data applications.
#WPF #Benchmarks #PerformanceTesting #VisualXccelerator #SciChart #DotNet #BigData #HighFrequencyTrading #SoftwareEngineering #DataVisualization
