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If you’ve ever built a Power BI report and paused at the “Data Connectivity Mode” screen, you’re not alone. Import, DirectQuery, Live Connection… sounds simple enough — but choosing the wrong one can mean the difference between a blazing-fast dashboard and a report that crawls.
This question dominates forums like Reddit, Microsoft Community, and Stack Overflow because every mode comes with trade-offs in speed, scalability, and refresh control. Let’s break it down the way a Power BI professional should think about it.
This is Power BI’s default — and for good reason. It imports a copy of your data into Power BI’s internal data model (VertiPaq). Once loaded, reports run lightning-fast because everything happens in-memory.
Best for:
1. Small to medium datasets
2. Reports requiring lightning performance
3. Scenarios where near real-time data isn’t needed
Pros:
Cons:
In short: Import is ideal when your data can be refreshed periodically (say, every hour or day) and fits comfortably in memory.
DirectQuery doesn’t store the data in Power BI — instead, it queries the source database live every time a user interacts with the report.
Best for:
1. Real-time or near real-time dashboards
2. Massive datasets (too large to fit in memory)
3. When data security requires staying at source
Pros:
Cons:
Trainer Tip:
Use DirectQuery only when real-time data is a must. For most business dashboards, near-real-time isn’t worth the trade-off in speed.
Live Connection is similar to DirectQuery, but instead of connecting to a generic data source, it connects to an existing Analysis Services model or another published Power BI dataset.
Best for:
1. Centralised enterprise models
2. Large organisations needing a single version of truth
3. Shared semantic models across multiple reports
Pros:
Cons:
Think of it as:
“Borrowing someone else’s Power BI brain.”
You use their model — but can’t alter its memory.
Learn how to design, optimize, and build real-world Power BI dashboards with our Advanced Power BI Course, designed to make you job-ready with practical, project-based learning.
| Feature | Import | DirectQuery | Live Connection |
|---|---|---|---|
| Data Stored In | Power BI (.pbix) | Source system | Analysis Services / Another Dataset |
| Performance | Very fast | Depends on source | Depends on model |
| Data Freshness | On refresh | Real-time | Real-time |
| Modeling Flexibility | Full control | Limited | None |
| DAX Features | Full | Partial | Partial |
| Offline Use | Yes | No | No |
| Ideal Use Case | Periodic reporting | Real-time large data | Centralized enterprise model |
Many advanced professionals now use Composite Models — a hybrid of Import + DirectQuery.
This allows some tables (like lookup/dimension tables) to be imported, while large transactional tables stay in DirectQuery.
Example:
This setup gives you faster slicing and reduced server load — without losing real-time access where it matters most.
Here’s how professionals make the call:
| Your Priority | Choose |
|---|---|
| Performance & Speed | Import |
| Real-time / Live Data | DirectQuery |
| Central Governance | Live Connection |
| Mix of Performance & Freshness | Composite |
When in doubt, start with Import Mode, validate performance, and only move to DirectQuery or Live Connection if you must.
Let’s say you’re building a sales dashboard for your retail chain:
Answer: Import Mode.
Your data doesn’t need to be real-time, and Import will give the best experience.
Now imagine your CEO wants a real-time operations dashboard showing store stock every 5 minutes — that’s when DirectQuery earns its place.
Choosing the right connection mode is like choosing a car — it depends on the road you’re driving.
1. If your goal is speed, Import Mode wins almost every time.
2. If your goal is live data, DirectQuery has your back — but at a cost.
3. And if your goal is governance, Live Connection brings everyone under one roof.
The key is understanding what your dashboard really needs — not what sounds “advanced.”
Editor’s NoteThis article is part of our “Top 10 Power BI Questions Answered” series, inspired by real-world queries from U.S. professionals across Reddit, Microsoft Community, and Quora.
At ExcelGoodies, we’ve trained 25,000+ professionals worldwide to move beyond Excel into the Microsoft Power Platform. Learn Power BI, Power Apps, Power Automate, and MS SQL through hands-on, project-driven learning.
Also Read (Q3 in the series):
“How do I choose between Calculated Columns, Measures, and Tables in Power BI?”
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