Item: Sigma Computing
Rating: 8
Author: Verified User

Overall Satisfaction with Sigma Computing

Use Cases and Deployment Scope

We use Sigma to create visualizations and dashboards for data that is stored on Snowflake. We also embed Sigma's dashboard into our business intelligence platform. Sigma is used to create joins on data tables too to create data sets.

Pros and Cons

Pros

Filtering
Row Access Controls.
Embeds.

Cons

Summaries on pivot tables get strange.
comparisons on truncated dates.
local caching often have to refresh page to pull correct data.

Return on Investment

Saved Time.
New Products using Row access controls.
Empowerment of less technical employees to use larger data sets.

Key Insights

Do you think Sigma Computing delivers good value for the price?

Yes

Are you happy with Sigma Computing's feature set?

Yes

Did Sigma Computing live up to sales and marketing promises?

Yes

Did implementation of Sigma Computing go as expected?

Yes

Would you buy Sigma Computing again?

Yes

Alternatives Considered

Looker, Tableau Desktop and Microsoft Power BI

Sigma was chosen for three reasons. 1. Excel-like workflow. Many of our researchers have a background in excel, and the excel-like workflow Sigma offers enabled them to get up and running quickly. 2. Embeds. We can easily embed dashboards into our SAS platform 3. Price. Sigma was about 50% of the competition.

Other Software Used

Snowflake, Microsoft Excel, Amazon Web Services

Likelihood to Recommend

Very good a quickly spinning up dashboards and visualization for people familiar with excel. Most of my colleagues who are good with Excel quickly picked up Sigma. Materialized views are very helpful when trying to work with large data sets that need logic. Complex joins and data truncating are often better done at the data warehouse level because Sigma will time out often if the join is too much.

Sigma Feature Ratings

Comments

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Quick Embeds and Dashboards. Limited Formatting/customization features.