Good enough, worth spending time with.
August 25, 2022

Good enough, worth spending time with.

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Sigma Computing

We use Sigma as our primary data visualization tool for delivering operational metrics throughout the company. Astronomer is a fast growing cloud-based software startup and we faced the typical scaling issue of delivering a wide range of operational metrics to a broad audience. The metrics covered platform health, customer activity and behavior, trouble tickets, contracts and order, HR activity. For the most part employees are generally sophisticated data consumers and wanted the ability to parametize and drill into the metrics that help them run the business – Sigma a good fit for this use case.
  • Pivot tables, allowing user control for navigating summary/detail views of data
  • Visualization
  • Speed to delivering dashboard, we have generally been quick to at least prototype dashboards
  • Smart comprehension and options for date, numeric and text fields.
  • The interface is busy with multiple modes to accomplish similar tasks, so not always intuitive to do some tasks
  • While a more specific case of my first point, the relationship between different screen elements is particularly not obvious
  • On chart annotation, allowing comments that overlay chart data
  • Monitoring health of cloud platform has allowed the company to anticipate issues before they affect customers – Sigma prompted us building a canary monitoring process that provides customer container health.
  • Customer success has used an activity report to discover customers running runaway processes that they were unaware of, creating an alert to contact the customer and prevent an embarrassing situation.
  • Customer success uses the activity report to prompt conversations regarding increases or declines in behavior that led to increasing contract limits or addressing churn concerns.

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We are finally able to provide fundamental metrics throughout the organization on customer behavior, platform health, financial results, HR, and other areas. Having a single delivery mechanism helps with training and onboarding new users. The product team has been able to use the platform activity and behavior metrics to help identify areas for future product development, both for adding features and for improving troublesome areas. All of our trouble ticket analytics are now supported on Sigma.
Our focus has been on dashboards, not as much on ad hoc. However, our customer activity dashboard, with its pivot table support and visualizations does help the customer success team look at any customers and drill into what might be behind changes in customer behavior. The dashboard was designed to also display aggregated customer activity, allowing a user co compare an individual customers to broader trends. All that work helps customer success engage with customers with more context and more knowledge of how the customer is using the Astronomer platform.
The products we looked at were relatively similar. During the trial we ran, Sigma was the fastest platform for all of us to pick up and start delivering prototype dashboards. Sigma's pivot table support – important for our tech savvy user base – was as good or better than competitors. While not the most important criteria, the visualization tools were good enough, including the ability to customize the look and feel. Sigma had better integration with our cloud data management infrastructure than others. The tech seemed mature enough for us to rely on (we thought Preset needed more steeping before handling our anticipated workloads.

We think any of the tools we looked at would have met our basic needs. Sigma's speed of development, pivot table support, and dashboard layout flexibility was enough to push us in that direction.
Sigma good for fast development, pivot table support, adequate visualization, particularly for organizations pursuing a cloud-based data infrastructure. Good for combining many types of data together via adding screen elements. Not as good if team does not have SQL skills or semantic domain knowledge of data - not a simple tool for less technical business analysts. We found that for performance issues and amalgamating various types of data into a dashboard required significant investment in organizing the data for reporting, using Sigma as a transformation tool may be adequate for prototypes, but for speedy screen rendering a lot of work required to organize the data for quick queries.

Sigma seemed comparable to other tools in the space and what won us over was how quickly we could spin up a dashboard.

Sigma Feature Ratings

Customizable dashboards
Report Formatting Templates
Drill-down analysis
Formatting capabilities
Report sharing and collaboration
Publish to Web
Publish to PDF
Report Delivery Scheduling
Pre-built visualization formats (heatmaps, scatter plots etc.)