6 Comments

A few tools serve across purposes. Some BI platforms come with their own semantic layers whereas others don’t. Some have their own preferred data storage layer to optimize performance. Some play ball with some kinds of databases more than the others. Some BI platforms are built for the embedding.

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Totally, there is some really good innovation out there. Problem is the more features that tools offer, the more complex it becomes to use them. Even I have trouble understanding all the features and that is my job to explain

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Request for next post: your favorite of each category. Bonus if they all integrate super well and you show a system diagram on how they all do so.

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Honestly, I wish I could do that, understanding out how they all integrate and building a system diagram of it all is 6 full time jobs on their own. But I do plan on doing an article on each of these categories, going further into the tech types and brands. This will probably happen over the next few months/ year (a lot to cover in the Data Ecosystem), so stay tuned!

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Microsoft with its Fabric stack certainly makes things simpler. Especially for small teams or even business users.

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I'm not completely sold on the Microsoft Fabric stack yet as I haven't seen any of my clients successfully adopt it (even though they want to). I'm planning on doing an article on Fabric and other holistic platform solutions, as I think it is a category that is popular, but not well understood. Appreciate the suggestion!

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