Power BI Import vs DirectQuery Which Mode Should You Use?
Introduction
Over BI can connect with different data sources and provide business intelligence with the ability to visualize results in the best possible way.However, one of the most important things to decide upon when using Power BI is whether to connect the data with Import Mode or DirectQuery Mode. Both these methods have very different benefits and disadvantages, which lend them to many different use cases.
This article will explain much about both connection types in-depth and how they really differ and will give life examples that will aid in decision making.
What is Import mode?
Import Mode is the standard, default option taken by Power BI. It brings everything in to the Power BI internal store, meaning that all data are loaded in memory. Once loaded into memory, Power BI can run queries very quickly, as that data does not need to be fetched in real time from an outside database.
Advantages of Import Mode
• Performance: Fast in terms of performance - since it is loaded into memory, queries and reports run far faster as compared to direct query mode.
• Data Modeling : Import Mode gives the possibility to use all transformations, calculations and DAX functions inside Power BI without restrictions.
• Consumption without Connecting from the Data Source: Users consume and analyze reports without any issue of a continuous data source connection.
• Complex Aggregation: Unlike DirectQuery, aggregation of data calculations in Import Mode can be pre-aggregated to do much better with very large volumes of data.
Disadvantage of Import Mode
• Data Refresh: Because it is a static position, source changes require a manual/scheduled refresh in Power BI.
• Size Limitations: Data limitations are imposed by Power BI Service for datasets in Import mode (1 GB per dataset for Pro users).
• Storage Cost: As the size of datasets increases, top performance will eventually decline if stored unaffiliated.
When Import Mode Should Be Used
• Case regarding the need to be answered immediately by queries.
• When the dataset is small to medium.
• Because there is some special need for advanced data models and DAX calculations.
• Data Change Does Not Occur Very Frequently.