Sigma Computing Review
We use Sigma Computing for our brokerage, business development, ops, and product dashboards. They help us understand how our team is …
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.
Recent Reviews
How Sigma Differs From Its Competitors
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Popular Features
- Drill-down analysis (150)8.585%
- Report sharing and collaboration (156)8.282%
- Customizable dashboards (155)7.777%
- Formatting capabilities (157)7.373%
Reviewer Pros & Cons
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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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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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Product Details
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- Tech Details
- Downloadables
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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 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 Screenshots
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 Integrations
Sigma Competitors
Sigma Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | Mobile Web |
| Supported Countries | United States, Canada |
Sigma Downloadables
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.
Reviewers rate Report Versioning highest, with a score of 9.4.
The most common users of Sigma are from Mid-sized Companies (51-1,000 employees).
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Reviews and Ratings
(287)Attribute Ratings
Reviews
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We use Sigma to organize, track, and display data across every team at our organization. I am in Sigma every single day to track utilization of our services for our clients. We use Sigma to identify trends, create reports for internal and external use, and track KPIs.
- Visualization of Data
- Ability to Drill Down to Data
- Exporting Data is very easy
- Creation of new data elements, tables and visualizations is easy
- Ability to download a table as an image instead of taking a screenshot
August 25, 2022
Good enough, worth spending time with.
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
My team uses Sigma to gain better access to our firm's internal datasets and to be less reliant on data engineers to produce reports and analyses for us. These reports have given the finance team faster and more flexible access to data that drives our external financial reporting, internal FP&A functions, regulatory reporting and responses, and in some cases have replaced manual processes that existed to facilitate operations.
- Reduced learning curve compared to other products
- User friendly interface
- Very responsive support chat
- Communicating errors and why they happen
- Preventing users from performing functions that commonly cause errors
- East coast support times
August 19, 2022
Constantly Improving with Sigma Computing
- We use it a lot to share spreadsheet-like data with "power users" - Use it to distribute hourly, daily metrics through Slack based on workbooks built in Sigma Computing- Use it to create dashboards to distribute analytics tools with business users for their own analysis and data exploration - It's starting to be an alternative to Tableau for analytics tools since it can run custom SQL in the existing connections.
- Easy visualization creation
- Customizable charts
- Relationships between dataset fields
- Cross database datasets
- Filtering using the charts (Like Actions in Tableau)
- Usage of containers within Workbooks / Dashboards to organize content
Sigma is arguably used by the whole organization. We have lots of viewers, but very few regular users. As far as I can tell, Sigma was selected on the basis of its usefulness in gatekeeping data from the organization, rather than encouraging transparency. In my assessment, Sigma makes it extraordinarily difficult to find reporting and analysis that has already been done... which is useful if you're on the gatekeeping side of the gatekeeping-vs-transparency trade-off spectrum.
November 01, 2021
An excellent tool for fostering BI Self-Service Culture
It's the main BI platform used across the board. We made datasets available for the people to build their own analysis as well as build ready-to-use dashboards.
- Calculate aggregations.
- Easy-to-use interface.
- Managing roles and users.
- LOD calculations.
- Filtering in dashboards.
- Joins in workbooks.
December 23, 2020
A great tool for data analyis
Sigma Computing is being used to analyze data reported by a network of android-based devices in the field, and the manufacturing info for those devices. In particular, my team uses it to track errors or issues that are reported. Sigma allows us to see trends for issues as they arise and predict future failure rates.
- Aggregating large data sets.
- Charting the data.
- Performing quick queries.
- Saving queries by user and allowing users to share queries.
- The user interface had at least one big change in the past two years, which was confusing.
- I would like to be able to create and run report on the fly, instead of having to schedule them.
- Better navigation using tabs and menus.
December 19, 2020
Good BI tool for cross functional teams
We use Sigma Computing as our secondary Business Intelligence (BI) tool. It is used to create sales reports for external customers to track their records. Our internal sales team uses the reports to manage the sales budget and revenues. It is being used by across the company. The target users are people who likes spreed sheets and no technical background is required.
- It is very easy to set it up. To connect the cloud data source, you only need to provide a credential of the could database.
- It provides the options to upload CSV files and SQL runner which you can create customized SQL query.
- It can generate reports which has row level access level. which makes it possible to share one report with multiple different clients and each client only can see their own data.
- It does not provide the same amount of features as the marketing leader such as Tableau.
- There are limited calculated fields.
- A data quality tool can help visualize data before you analyse it , which are super helpful. So far it is not available in Sigma yet.
September 23, 2020
Sigma has eliminated the common barriers to entry for our data--the door has been opened for those that have never heard of SQL
Simga Computing is used by the entirety of the data analytics team, as well as a few select individuals like myself, that need to perform data analysis. I believe the plan is for more of a company-wide implementation to be adopted, but outside of engineering, operations, and data analytics, the audience/value will be limited.
Sigma's cloud-based platform offers the benefit of quickly querying large amounts of data, those that would never be able to be effectively run in Excel/Google Sheets. Furthermore, it expands the 'proficient data consumer' population across the company, as SQL (or other query language) skills are not required.
Sigma's cloud-based platform offers the benefit of quickly querying large amounts of data, those that would never be able to be effectively run in Excel/Google Sheets. Furthermore, it expands the 'proficient data consumer' population across the company, as SQL (or other query language) skills are not required.
- Quickly querying vast amounts of data - this cloud-based solution integrates seamlessly with our Snowflake aggregator.
- It increases the population of employees that can effectively utilize data. Knowledge of query languages are not necessary, but I love that Sigma still offers the option of using query languages (particularly for those that are more familiar with them and/or highly complex queries.
- Seamless integration wit Snowflake enables quick implementation of the tool.
- When adding values to include/exclude in a filter, it's not obviously that clicking away from the field entry will initiate the application of the filter.
- In the filter dropdown menu, it's not entirely obvious how to remove a filter. The "x" is not easy to find visually, nor is its intent obvious.
May 27, 2020
The Business Intelligence tool of my heart
We use Sigma across the entire company to conduct all our business intelligence research. We have lots of dashboards to track company and team level metrics of all sorts, as well as ad hoc sheets to answer specific questions. Pretty much all our understanding of our business besides event-based analytics (for which we use Mixpanel) comes from Sigma. We migrated from Looker.
- Segmenting data.
- Building dashboards.
- Incredibly powerful slicing and dicing of input data with its "levels" system.
- Building visualisations.
- Ability to create ad hoc data sets to share between multiple sheets allowing you to quickly update shared information/criteria.
- Complicated queries can be slow.
- More customization of visualisations, especially the number metrics.
- Ability to collaborate on a shared sheet.
- Ability to more easily create pivot columns within a sheet.
September 21, 2019
A non-technical, user friendly analytics tool
We use Sigma Computing to develop business reporting from our business analytics data. Sigma Computing effectively solved the problems of accessibility to the data and adoption of usage with our non-analyst users. Our front line managers found it to be very easy to use and understand because its interface modeled after simple spreadsheet sheet usage which they are already familiar with. Thu,s they did not need to learn the language of analytics to do more complex tasks like regressions and correlations.
- Simple spreadsheet-like user interface. If you know Excel or Google Docs, you can use Sigma Computing to do complex analysis.
- Flexible in that power users can narrow down result sets directly if they know how to do SQL, but SQL knowledge is not required to to analyze data.
- Easy to share completed reports and graphical data with teams, without requiring team members to have paid accounts.
- Because Sigma Computing sits directly on top of the analytics data warehouse it queries live data. Not the most efficient when it comes to speed and requires attention from data specialist to make sure the warehouse is optimized to support the queries.
- Access control is loosely governed. Meaning pretty much granular access to specific tables or schemas hard to manage. Sharing a report means granting implicit access to the source data.
- Change management is tricky. Renaming of tables means re-creating reports, rather than just being able to point existing reports at a new table.