Microsoft Power BI vs Sigma Computing Comparison

It has a wide range of functionalities and a lot of computing power

Setting up a dashboard and linking data sets can get quite technical sometimes

Easy and intuitive user interface. Licensing is for creators, viewer usage unlimited. Visual designer for lookups and joins. Fast learning curve for non technical users. Team is super responsive. Works very well with snowflake.

Not a tableau/power bi replacement, some features still immature

The ability to easily and conditionally schedule report exports in multiple formats targeted towards our business users.

I haven't encountered any cons so in terms of features or functions. The only gap one of our analysts identified so far is the ability to determine how a worksheet's final state came to be, specifically the exacts steps performed to created the worksheet like Power BI has.

Love the dataset -> spreadsheet -> dashboard usage model Seamless integration with Snowflake

User admin/roles functionality is not as easy and consistent to administer as it should be

Integration with Snowflake, Ability to load data files, Ability to analyze large data sets, Excel like functions

Dashboards are a little quirky and limited on drill down capabilities; heat maps are missing; and other features expected in a BI tool; need more training options

* Ability to pull any data I need or want * Complexity of calculations possible while being easy to use * Seriously those grouping levels are VERY powerful

* Pivot tables are the one thing they haven't aced yet - you can make them but then to calculate cased on them you need to make a new dataset and then a new sheet. You can do pretty much all the same work with just levels though so I don't miss them too often. * I wish my default permissions could be "public" - I'm never doing anything private, so why is that the default? * Maps could use some work. I want to color-map countries, not just display dots

Sigma presents data in a format users already understand... a spreadsheet. The result is a BI tool that is much less intimidating than alternatives because it doesn't force users to learn a new query language.

While the basic functionality is actually pretty easy to use, some of the features are hard to find, or not that intuitive especially around formulas or more advanced features.

Ease of use, especially the ability to write custom SQL queries to build datasets and reports. The visualization builder is also very user friendly and has made throwing together dashboards for internal or external use significantly easier. Saves me and my colleagues a ton of time!

There have been some features identified by the team that we need for Enterprise-level software that were missing, many have been addressed though. A major bugbear of mine is that the filters don't seem to react to each other if there are multiple on a dashboard, they filter independently of other inputs.

Sigma has the right model. From the user perspective, the columnar formula editing feels familiar enough, and the learning curve is friendly to anyone with spreadsheet experience. From an architect perspective, the semantic layer is lightweight and easy to adapt to ever-changing schemas. The UI covers most of the functionality you'll want, and for everything else you can fall back on writing...

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Visual discovery is lacking when compared to mature tools like Tableau. Sigma needs to continue chipping away at the Tableau features around dashboarding and charting.

Is an easy to use software, I liked that it's very fast, I don't have to wait to start seeing the data

It needs more features, specially to migrate the worksheets to different environments, also it has a very limited number of functions. Sometimes the error messages are not very descriptives, so we can't know what's happening or how to solve it (we had a worksheet with an error like: "the joins are not efficient", something like that, so that message was kind of useless)

The ability to connect to any data number of data sources across our enterprise data warehouse to extract useful insights for my team. Without a line of coding I can report, analyze, and visualize data from our CRM, IoT data streams, 3rd party APIs, and now .csv uploads. The full access is balanced by perfect row-level security controls so I can use the same system to power data dashboards and portals for internal teams as I do for external clients.

The upside of being able to access ALL data streams leads to a downside -- it can take a long time to process and load information. However I look forward to data materialization features in the works which will eliminate this problem.