An easy way to expose data
October 01, 2019
An easy way to expose data
Score 7 out of 10
Vetted Review
Verified User
Overall Satisfaction with Sigma Computing
The data team introduced Sigma in order to find a self-serve solution for other teams especially the non-technical roles. We want to enable people to get the data without writing SQL.
- Easy way to get aggregated data without writing SQL.
- Easy way to visualize the data.
- Easy way to manipulate the data by built-in functions.
- It's not clear what's the implementation if we are doing more complicated join and filter.
- It can only support to export the data up to 10,000 rows.
- Little online resources for use cases or questions.
- Expose data to more people in the company.
- It's still a gap for those nontechnical people to use Sigma if the query is more complicated or they don't feel confident in their results.
- The data team can save time in data pulling requests and focus on other tasks.
We use that to report the overall usage of a feature and also create a visualization of that to track. It leverages the concept of SQL and only takes a few minutes to build the visualization which is better than Tableau.
The speed of loading the data is limited by the data size and complexity of the joins. If it's a complicated and big table, Sigma will timeout (probably is caused by the source). But if we do it for a simple task, it's fast.
I am not the person who decided to use Sigma and I am not familiar with the pricing.
For data visualization, I still use Tableau for the dashboard because it looks nicer. However, if it's an ad hoc analysis or report, I tend to use Sigma. It's easier and the user can see the raw data too.