Which In-memory Analytics Engine is used in Power Pivot ?
The in-memory analytics engine used in Power Pivot isn't actually called Power Pivot. It's called VertiPaq, also known as the xVelocity engine. This engine stores data in columns rather than rows, optimizing it for speed and performance when analyzing large datasets.
Here's why VertiPaq is such a critical part of Power Pivot:
Columnar Storage: By storing data in columns rather than rows, VertiPaq significantly reduces the amount of data that needs to be accessed when performing calculations or filters. This makes Power Pivot incredibly fast, even when dealing with millions of data points.
Compression: VertiPaq compresses data efficiently, further reducing memory usage and improving performance. This makes it possible to analyze large datasets on personal computers without requiring powerful servers or cloud resources.
Calculated Columns and Measures: VertiPaq enables the creation of calculated columns and measures, allowing you to add new data points and perform complex calculations directly within the Power Pivot model. This empowers you to create customized analyses and uncover deeper insights from your data.
Integration with Power BI: VertiPaq is not only used in Power Pivot but also serves as the core engine for Power BI Desktop and other Microsoft data analysis tools. This provides a consistent and powerful foundation for data exploration and visualization across different platforms.
So, while the name "Power Pivot" might refer to the entire experience of data modeling and analysis in Excel, the true workhorse behind its speed and agility is the robust and efficient VertiPaq engine.
I hope this clarifies the in-memory analytics engine used in Power Pivot! Feel free to ask if you have any further questions.
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