About the guide
Download the decision tree that helps you identify the right approach in just a few minutes.
Moving data into Microsoft Fabric may seem straightforward—until you start choosing between Dataflows, Pipelines, Eventstreams, Spark, or a gateway connection. Each option has different implications for performance, security, cost, and the way your teams work.
That’s why we created a practical decision tree based on real implementations and internal testing at Adastra. It quickly guides you to the tool that best fits your data type, infrastructure, and processing goals.
What you’ll get:
- A simple visual decision tree that quickly shows which Fabric tool to use
- An overview of the key factors behind the right choice: data type, ingestion frequency, processing purpose, security, and source access
- A practical framework that helps your BI or data team avoid dead ends
- Recommendations based on real project experience—not theory
- A resource you can use to facilitate discussions between IT and business stakeholders (clear arguments, clear scenarios)
Why download the decision tree
Save time and avoid unnecessary experimentation
You don’t need to test every option—the decision tree guides you to the right path faster.
Reduce the risk of choosing the wrong architecture
Fabric offers multiple approaches. The wrong choice can complicate scaling, operations, and costs later.
Start planning your data ingestion immediately
You’ll get a practical framework that can be used when designing pipelines or data flows.
Validate your current approach
The tree also works as a quick sanity check for existing Fabric implementations.
Who this document is for
- Heads of data teams, data architects, and BI specialists
- Companies considering a move to Microsoft Fabric
- Teams already using Fabric who want to improve their data ingestion approach
- Anyone responsible for moving data in a secure, efficient, and scalable way
Download the decision tree to quickly navigate the available ingestion options in Microsoft Fabric and choose the tool that best fits your data and architecture.
