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Sigma

Overview

What is Sigma?

Sigma Computing headquartered in San Francisco provides a suite of data services such as code free data modeling, data search and explorating, and related BI and data visualization services.

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Pricing

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What is Sigma?

Sigma Computing headquartered in San Francisco provides a suite of data services such as code free data modeling, data search and explorating, and related BI and data visualization services.

Entry-level set up fee?

  • Setup fee optional

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Alternatives Pricing

What is Microsoft Power BI?

Microsoft Power BI is a visualization and data discovery tool from Microsoft. It allows users to convert data into visuals and graphics, visually explore and analyze data, collaborate on interactive dashboards and reports, and scale across their organization with built-in governance and security.

What is Tableau Desktop?

Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.

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Features

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

8.2
Avg 8.2

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

8.2
Avg 8.0

Report Output and Scheduling

Ability to schedule and manager report output.

8.9
Avg 8.3

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

6.6
Avg 7.9
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Product Details

What is Sigma?

Sigma is a business intelligence (BI) and analytics platform purpose-built for the cloud. With Sigma, anyone can use the spreadsheet functions and formulas they already know to explore live data at cloud scale, down to the lowest grain of detail. Its familiar spreadsheet-like interface delivers SQL into the hands of any user while keeping data fresh and secure within cloud data warehouses.


Data-first companies can use Sigma to empower their employees, customers, and partners to break free from the confines of the dashboard and explore data for themselves to make better, faster decisions. The software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly – no coding required.

Sigma Features

BI Platform Features

  • Supported: Live Connection to External Data
  • Supported: Snapshot of External Data
  • Supported: ETL Capability

BI Standard Reporting Features

  • Supported: Pixel Perfect reports
  • Supported: Customizable dashboards
  • Supported: Report Formatting Templates

Ad-hoc Reporting Features

  • Supported: Drill-down analysis
  • Supported: Formatting capabilities
  • Supported: Predictive modeling
  • Supported: Report sharing and collaboration

Report Output and Scheduling Features

  • Supported: Publish to Web
  • Supported: Publish to PDF
  • Supported: Output Raw Supporting Data
  • Supported: Report Versioning
  • Supported: Report Delivery Scheduling
  • Supported: Delivery to Remote Servers

Data Discovery and Visualization Features

  • Supported: Pre-built visualization formats (heatmaps, scatter plots etc.)

Sigma Videos

What is Sigma?
Cohort analysis with Sigma
Sigma for Sales Teams Demo
Rapid Data Prototyping with Sigma
Building Pivot Tables with Sigma
Embedded Analytics with Sigma
Parsing JSON in seconds with Sigma
Sigma Demo at Snowflake Summit

Sigma Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationMobile Web
Supported CountriesUnited States, Canada

Frequently Asked Questions

Sigma Computing headquartered in San Francisco provides a suite of data services such as code free data modeling, data search and explorating, and related BI and data visualization services.

Tableau Desktop, Tableau Cloud, and Looker are common alternatives for Sigma.

Reviewers rate Publish to Web highest, with a score of 9.7.

The most common users of Sigma are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews From Top Reviewers

(1-5 of 15)

Sigma is Success for Any Size Data Program

Rating: 9 out of 10
November 08, 2022
Vetted Review
Verified User
Sigma Computing
1 year of experience
Sigma is a toll that works in the same way a spreadsheets work. But with data joining functionality similar to SQL and far easier to create visualizations. We chose Sigma because it makes data easy to access and use for a business user. IT resources are scarce for creating new reports and versions of reports.
  • Guides business type users through a JOIN
  • Allows for some types of data engineering in the dataset creation.
  • Provides instantaneous user help and support
Cons
  • The Join functionality in worksheets is incredibly useful but that same view is not available in worksheets. Is there a way to combine that?
  • Make the datasets about data engineering models. Leave worksheets to using those models and other data.
Sigma is most useful in an environment where the busines user is data savvy. Data savvy is not only knowledge of the data but also has basic spreadsheet skills like knowing how to connect data with lookups. These environments often mean that they can pick up the skills needed to build their own visuals. So Sigma is possibly the only tool for a small company with limited data resources where the business teams needs to pick up some of the data load.
Sigma is also great for a big company where there is more demand for data discovery than the IT team has capacity.

My Sigma Review.

Rating: 8 out of 10
September 28, 2019
KK
Vetted Review
Verified User
Sigma Computing
1 year of experience
Some members of the organization use it to tap into Snowflake.
  • Queries Snowflake.
  • Automated reports.
  • Working in the individual tables.
Cons
  • Adjusting the screen size for some menus on the left.
  • The layout of Sigma in general needs improvement.
  • It needs more report automation functionality.
It is nice to have reports that run automatically, but some of that functionality was only recently added, and it is not the best.

Save yourself a few hours a week, use Sigma instead of command line DB queries.

Rating: 8 out of 10
September 19, 2019
Vetted Review
Verified User
Sigma Computing
1 year of experience
We use Sigma Computing as one of a set of data tools for analyzing customer behavior. I maintain it as a marketing tool, but also build our dashboards for other departments, such as product developers, and biz dev.

The big win for me with Sigma Computing, is that it allows me to take a set of queries that I would normally run by hand once a week, or once a month, and lets me view the data almost instantly without having to pull and manipulate it. I set up my queries one time, perform any translation or added layers I need (which Sigma is great at, stuff I can't do in Excel or anywhere else automatically) and then push them to a dashboard that I can load each morning.
  • Allows a quick look at important data that moves every day.
  • Frees up a lot of my time from manually running, downloading, loading, and translating data.
  • Allows me to easily share my findings with a quick link.
Cons
  • I would love to see some additional visualizations added. I find myself using the same 2 or 3 on all of my dashboards, which is functional, but I would like some choices to make things a little more visually appealing.
  • I would like to adjust the timeout options I have when querying the data. It would be nice to force a longer timeout for some of the tables I have that are larger and take a while to get data from.
  • Scheduling dashboards to send snapshots to Slack fail more often than they work. It is a feature I do not use much, because I cannot rely on it.
  • The ability to set the screen size of the VM that takes the snapshots would be useful. I have a high resolution screen that I set my dashboards up to be visible on, and when I get a report emailed to me, it is always cut off because the resolution on the VM that takes the snapshot is much lower.
The product really shines when you have multiple databases with information that you find yourself joining often. To have it automatically pull your data and keep it up to date is a real time saver.

One problem area is if you have any super massive DBs. Since Sigma isn't storing data, it has to pull it every time for you. If your DB is huge, or poorly indexed, it can take a long time, or time out.

Good enough, worth spending time with.

Rating: 9 out of 10
August 25, 2022
Vetted Review
Verified User
Sigma Computing
1 year of experience
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.
Cons
  • 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
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.

Great, but Limited for Now.

Rating: 8 out of 10
January 04, 2023
Vetted Review
Verified User
Sigma Computing
1 year of experience
It is our main business intelligence tool, and is used in tandem with Google BigQuery to be a connection point where teams and stakeholders can draw analysis and create reporting from our multiple data sources. The business problems this address includes ranges from internal analysis (such as providing cohesive reporting for our finance teams) to external problem solving (product, customer success, sales, and marketing).
  • Disseminate workbooks and information through user profiles and features with a relatively low learning curve.
  • Customization tools for colors/branding.
Cons
  • Limitation in visualizations that lead to long workarounds to get features we want, or to be able to display data in the way we like it.
  • Limit choices in customization when it comes to fonts, text size, and element sizing.
  • Difficulty in handling complicated dashboard designs that require multi-element/section movement and a higher number of elements.
Sigma Computing is well suited for an organization where the data practice is not as mature, or there are a lot of non-technical workers that may not be handle the complexity of other tools such as Tableau. However, for data teams that would like to be more hands-on, and want to create their own complex visualizations and dashboards, the current limitations of Sigma Computing may be frustrating.
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