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One of the biggest strengths is the vision of having an end-to-end data platform in one place, covering ingestion, transformation, storage and reporting. The integration across different componenets feels quite seamless, particularly if you are already aligned to the wider Microsoft ecosystem. It also lowers some of the friction between traditionally separate teams, which can help speed up delivery. The pace of development is another positive, with new features and improvements being introduced regularly.
Ease of use and integration into our existing Power BI landscape were a driving factor behind our pro fabric decision.
The ability to bring the entire data lifecycle into a single, unified platform. Having data ingestion, transformation, storage, and visualization all in one place significantly reduces complexity and eliminates the need to manage multiple disconnected tools. The seamless integration with PowerBI is a major advantage, enabling faster insights and easier collaboration between technical and business users. I also appreciate the OneLake concept, which simplifies data access and helps break down silos across teams.
As a relatively new platform, some areas still feel immature or not as fully featured as the standalone tools they are effectively replacing. There can be some uncertainty around best practices, as guidance and documentation are still evolving. It can also be difficult to fully understand the cost model and how it will scale over time. In some cases, it feels like capabilities are still being consolidated, which can create a slightly fragmented experience.
The cost control of this software platform is subpar to say the least. You have no clue how many CUs you're about to use when using one of the tools of the platform. You have to try which tools will be of best use for your use-case since the documentation is lacking in a lot of areas because there are so many products bundled up as one that microsoft cant keep up with writing the correct documentation for the updated suites of the software. A lot of the time in early setup stages you have the choice between paying for a oversized capacity and being able to try different things or having a right sized capacity and basically being not able to make mistakes because the capacity wil throttle after using too many CUs (which as i stated earlier are never mentioned while using any service). Other platforms are a lot more transparent about upfront costs and let you know what the tool, calculation, etc. will set you back. The only way to see which of your services sent your capacity into throttle is a self designed power bi dashboard with about half an hour of latency, which wouldnt be too bad as it is quite informative but again the missing of costs per service are what is a dealbreaker.
If feels like a platform in transition. Some features may be incomplete or inconsistent, which can impact reliability in production environments. There's also a noticeable learning curve due to the breadth of tools and concepts, and the documentation doesn't always keep pace with rapid updates. In addition, monitoring, governance, and cost transparency could be more robust, particularly for organizations trying to scale usage. While I love the PowerBI integration, the overall experience would benefit from more maturity and stability across all components.