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Sigma

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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Recent Reviews

Sigma Recommended.

8 out of 10
February 19, 2024
Incentivized
We use it to embed onto our website for client-facing reporting and internal reporting for our teams that need to see our Sigma data but …
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Sigma Rolling Out.

9 out of 10
February 16, 2024
Incentivized
We use Sigma all day everyday to achieve our production goals and monitor current progress at just a glance. It aids us in planning and …
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My Sigma Review

10 out of 10
February 13, 2024
Incentivized
Used for KPI dashboards, monthly/quarterly financial reporting, tracking data sets, and manipulating data. I have used Sigma to make …
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Sigma Review

10 out of 10
February 08, 2024
Incentivized
I use Sigma Computing to find patterns in my data and create dashboards to strategize business decisions based on my analysis. I enjoy …
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Love Sigma

9 out of 10
January 10, 2024
Incentivized
I create analytics reporting for many stakeholders. I make customer data available on a variety of dashboards to our account managers, I …
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Sales Ops Usage

7 out of 10
August 30, 2023
Incentivized
Key sales KPIs, stack-ranking sales people on activity and conversion. We also use it for executive reporting, distilling the health of …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 15 features
  • Drill-down analysis (150)
    8.5
    85%
  • Report sharing and collaboration (156)
    8.2
    82%
  • Customizable dashboards (155)
    7.7
    77%
  • Formatting capabilities (157)
    7.3
    73%

Reviewer Pros & Cons

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Pricing

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N/A
Unavailable

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

Would you like us to let the vendor know that you want pricing?

150 people also want pricing

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.

7.2
Avg 8.2

Ad-hoc Reporting

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

7.8
Avg 8.1

Report Output and Scheduling

Ability to schedule and manager report output.

8.8
Avg 8.4

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.

6.4
Avg 8.1
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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 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

Screenshot of Custom calculations that can be added to tables and visualizations – no SQL skills necessary.Screenshot of Visualization tableScreenshot of Custom bins to drive complex cohort analysis built without SQL code.Screenshot of Complex cohort analyses built without code.Screenshot of Lookups provide familiar spreadsheet functionality to business users.Screenshot of A Sigma Workbook, that brings together spreadsheets, charts, and data narratives onto a live, collaborative canvas.Screenshot of Visualizations, that can be sorted, filtered, and drilled into, to the unconstrained underlying data.Screenshot of Spreadsheet formulas, that can be used to add calculated fields to pivot tables without coding.

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 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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Comparisons

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Reviews and Ratings

(287)

Attribute Ratings

Reviews

(1-25 of 34)
Companies can't remove reviews or game the system. Here's why
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We use Sigma Computing for our brokerage, business development, ops, and product dashboards. They help us understand how our team is performing, where to pursue future opportunities, and manage our internal data. Everyone in the org uses it
  • Ease of use - I'm a non-technical user but have built out the bulk of our dashboards
  • Their support is world class - their chat function is super quick to respond and knowledgeable
  • Their tutorials and webinars are useful for new learnings
  • There are occasional bugs
  • Their AI functionality is still lacking
In my opinion, any org that is data-driven should use Sigma Computing - it really enables the entire team to build dashboards and explore data within the org because it is so user friendly.
Randall Hidajat | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Incentivized
I'm using Sigma Computing primarily to capture and track all KPIs related to customer service. In addition to that, our organization is using Sigma to track all KPIs across multiple different systems. Sigma allows our business users to be able to create, view, and manipulate data how they feel like it is needed.
  • Ability for a data analyst to upload a specific CSV to join on.
  • Scheduling reports over slack/email/etc
  • Create hidden tabs/charts to use as an intermediary table
  • Create charts based off of any table, csv, other table, etc.
  • Unable to search for a specific chart in a workbook
  • No clear area to test or put one-off questions
  • Search overall is really hard to use
As long as you have data experience, Sigma Computing is a pretty straight forward tool. The ability to embed charts, workbooks, and different assets publicly is very useful especially when needing to send something over to a user. This is a better and cleaner way than to just send over a screenshot of a chart.

Sigma Computing is hard to use however when you are building so many different charts and workbooks, it is impossible to search for a chart that exists inside a workbook. In addition to that, when needing to answer a one-off question, the only option to create is to create a workbook or a new dataset. This means that the best way to test or find a one-off question is to create a workbook called "sandbox", or something temporarily which is not so clean.
Score 8 out of 10
Vetted Review
Verified User
It is a Cloud based data analytics platform that enables organizations to visualize and analyze their data without the need of SQL or advanced coding skills. Some business problems and use cases it addresses:
Users can directly connect to various data sources to explore and query the real-time data
It offers data transformation and cleaning capabilities which helps users to prepare their data without the need of complex ETL tools
This platform controls and provide permissions, ensuring sensitive data is only accessible to authorized users. The use cases can be ranging from sales and marketing analytics, HR analytics, supply chain management and more.



  • Security and Goverance
  • Data Lineage and Versioning
  • Native Cloud Connectivity
  • Data Collaboration and Sharing among team
  • Intuitive User Interface
  • More visualizations
  • Offline Data Access and Export
  • More Connectivity for export to cloud storage
  • Complex Joins and Data Blending
  • Performance Optimisation for large datasets
It is easier for someone who is not well versed with advanced coding skills.
Suited when we have to work with real time data.
Native Cloud Data Integration makes it a seamless fit.
Scenarios where it is less appropriate:
Sigma is not best choice when comes to advanced statistical modeling or complex ML tasks
Where we have heavy customization and complex reporting demand
Where user requires offline data access.



Score 8 out of 10
Vetted Review
Verified User
Incentivized
Data democratization, enabling non-technical users to work with our company's business data; data engineering. We use Sigma for all of our data visualization needs, from ad hoc analyses to dashboards used by the whole company.
  • Provides a familiar data analysis format with its spreadsheet interface.
  • Fast; by querying the warehouse directly, it's much more performant than other cloud-based BI tools.
  • Allows non-technical users to interact with and analyze warehouse data without needing to know SQL.
  • Easy-to-use templates are great for monitoring aspects of our data stack.
  • UI is a little clunky; you'd expect a product that was developed in the last 5-10 years to have a snappier interface and a more polished product.
  • There really needs to be a way to weave custom SQL queries into a workbook to perform advanced aggregations and manipulations; currently, you can only use SQL to load data into a parent table.
Very well suited for non-technical users, particularly managers who rely on the insights from the data but lack the technical skills to analyze the data via code. Definitely not for data science use cases; questionable use for data analyst and data engineering use cases as well.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We use Sigma to deliver curated analytics directly to our clients via an embedded workbook. The Sigma product has shifted delivery and product development to the product team, and allowed our technical team to focus on data aggregation, transform, QA and analytics. We use Sigma to completely overhaul our product offering and streamline our operations.
  • Sigma has plenty of onboarding documentation
  • Sigma has excellent customer support
  • Sigma is powerful, they have features I need before I realize I need them
  • Sigma can have a steep learning curve for the un-initiated
  • Sigma can sometimes deprecate features or stop supporting them without much notice
Sigma is great if you already have a cleaned set of data that needs to be unleashed in the hands of your users. It is well suited for building curated workbooks and is flexible for various implementation needs. Sigma is also great to help QA your data.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Intuitive interface
  • Live chat
  • Ease of joining tables
  • Simplifying the interface - too many areas to do the same action
  • Joining queried data with warehouse data
  • Better looking visualizations
We use Sigma Computing as our go-to tool for ad-hoc analysis. Its user-friendly interface allows colleagues to perform their analyses instead of relying on others saving my team to respond to simple questions and allowing us to focus on more deep-dive analyses. What we love the most is their helpful Live Chat feature that connects me with a Sigma associate to achieve more complex analysis.
January 04, 2023

Sigma at a startup

Score 6 out of 10
Vetted Review
Verified User
Incentivized
I use Sigma to create queries joining multiple data sources to create dashboards, reports, and surface key business metrics and insights.
  • robust technical support
  • data querying capabilities are strong
  • formula writing feature is intuitive
  • formatting dashboards/visuals is terrible and buggy
  • design capabilities are very limited
  • various menus are complicated and difficult to understand
Sigma is great for querying and visualizing simple and straightforward data. It struggles with complexity and sophisticated dashboarding.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
  • 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.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
The team I am on, has a small headcount for the number of clients we're supporting. Sigma has helped us massively reduce the amount of time it takes for us to compile reports and actionable business intelligence from dozens of hours a week down to 1-3 hours. Moreover, it's helped us in supporting our sales reps with information on their specific clients. The scope of use for our team has only continued to grow as other teams realize use cases based on what I've built so far for my team.

On a daily basis, use it to determine a broad range of things:

Product performance:
  • Observing past trends and predict future trends in product usage
  • Identify broad trends that could lead to product improvements
  • Help clients get the maximum potential from our product by observing how its being used
  • Identify areas where costs to us, or the client, may be unnecessarily high and address
Operations/Customer service:
  • Proactively identify issues and reach out to clients for troubleshooting and resolution
  • Reach out to clients who are not using the product to its maximum potential and assist in helping their projects succeed
  • Maximize delivery to our clients by identifying the causes of shortfalls
  • Customer Support: They've always been very quick to respond, willing to help work to come up with solutions for anything I'm stuck on.
  • Very quick and easy to create reports with, once a solid dataset has been built.
  • Low Code/No Code UX is intuitive to any excel users.
  • Many options for joining different data sources.
  • Adding new features regularly
  • Formatting: On workbooks and dashboards, it can sometimes be difficult to make the page elements align correctly.
  • When creating and setting up datasets, having a temporarily row-limiting option when editing would help a lot, particularly on anything with a large number of rows.
  • Scheduling reports to be sent out can be tricky if the request is something like "Last Monday of each month".
  • Being able to export an xls with conditional formatting would be helpful in some cases.
Some of the specific scenarios where Sigma has really helped us are in our regular weekly reports and in proactive issue detection. Using Sigma has reduced the amount of time spent on them from 6-8 man-hours per week down to 2 hours, and only because some reporting relies on sources outside of Sigma. We've been able to use it to quickly and proactively detect issues based on KPIs and metrics, as prior to Sigma, we had to download a query result and analyze it in a spreadsheet.

The scenarios where Sigma is less appropriate are when a task needs to be confirmed. If we reach out to a client regarding an issue, we can't indicate it was done in Sigma. I don't consider this a Sigma issue, as it's not meant to be a workflow tool.
August 25, 2022

Sigma user survey

Score 7 out of 10
Vetted Review
Verified User
Incentivized
I use Sigma to build debugging tools to check the configuration and metadata input by Ops and Customers. I am quite proficient in writing SQL and query data, but not everyone is. It's really handy and let people use the tools so that they can figure out the issue on their own, instead of leveraging engineers time.
  • I like the conditional highlight feature.
  • I like the flexibility I can change the width and height of the widget.
  • I constantly update the dashboard so I'd like to see version somewhere in the view.
  • The query is a bit slow but I don't know if that's Sigma's issue or the query engine we are leveraging on.
  • flexibility change the UI layout
  • clear permission level
  • a bit slow (updating the permission view, query, changing the tabs)
well suited:
- building tools and be available for non-engineers

less appropriate
- just for analysis purpose. Jupyter is probably better tool. The main reason is Sigma takes quite a few steps to add a UI module. There is a learning curve for beginner in my opinion.
- i don't see a lot of charts support compared to similar products
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use Sigma to easily mockup new visualizations, metrics and full dashboards for clients who use our marketplace platform. This way the business development team can work on new client analytics features without software development team resources. Once the features are tested and approved by the client in Sigma, we can refine them & add them to our own analytics platform, confident that they're exactly what our clients need!
  • Easy to learn
  • Plug n Play
  • Great Customer Support Staff
  • Prettier visualizations & aesthetics for sharing externally
  • More visualization options (heat maps especially)
  • Some menus are hard to find, very small buttons that lead to features that aren't accessible from other places.
  • Have to ask support where to find features, help docs are often not for the version/exact product you're using.
  • Aggregates vs total rows vs aggregating data yourself - unclear which is correct or what they do exactly
Well Suited
  • Quick creation of new, basic visualizations & charts
  • Identifying & tracking new metrics
  • Creating overview dashboards for clients Empowering business users to create value for clients
Less Appropriate
  • Creating beautiful, in-depth dashboards for clients
  • Preserving credits in snowflake or w/e data warehousing service you use
  • Designing creative, new visualization types
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I use Sigma along with the rest of the Data Team to design dashboards and derive key insights for several internal teams at our company. Sigma makes the insights discovery process much, much easier due to its ability to perform easy calculations via more Excel-centric language rather than custom SQL. While custom SQL is a powerful skill, I have found it is easier to assist stakeholders in using data/dashboards when they do not have to use SQL to find them.
  • Create custom datasets without the need for SQL.
  • Easily manipulate/transform workbooks using Excel-like language.
  • Fast calculations with much lower wait time for data to load or be transformed.
  • When writing custom SQL, there should be an option to merely call the database at the beginning without having to do so throughout the query (similar to Snowflake).
  • Sigma should allow uploads of .kml files.
  • Make it flexible so that there are more ways to resize workbook elements.
Having used Tableau, I can say Sigma is a much easier data visualization environment. Sigma's ease of use allows data analysts/business intelligence engineers to find insights much easier than with Tableau. If someone's level of data experience is no higher than Excel, that is enough to find one's way around in Sigma (after dashboards, etc., are first created by engineers).
August 24, 2022

Fast but.. Lacking.

Score 5 out of 10
Vetted Review
Verified User
Incentivized
Data Analytics around our trading team. Tracking KPI progress, Individual contribution, learning insights to improve efficiency and comparing attributes of different time series.
  • Sorting related analytics, such as percentiles and bins.
  • Easy to quickly manipulate large data sets.
  • Responding to questions Via the Live Chat.
  • Allowing for Relative Values between columns, in tables, and pivot tables (% difference, for example).
  • Allowing visuals to be fully customized, such as moving data labels, allowing a bar chart to have a color mark based on a column even if it's a combo chart, and Allowing for Water Fall Charts (possibly stacked visuals and transparent color options).
  • Being able to use a lookup between built out tables instead of only raw tables.
  • Offline Functionality (Sigma Extract??)
  • Formatting of Tables and Pivot Tables (e.g. Particular font for particular column).
Sigma is great for a quick and dirty answer, especially in a large data set. However, for senior presentations, there are typically too many limitations to entirely finish a presentation. Tableau has a much steeper learning curve. However, it allows users nearly complete creative design. I feel that Sigma could be a much more robust competitor with a handful of additions in terms of editing visuals and relative functions.
Sharon Moskowitz Brothman | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
SIGMA is an amazing tool. It has allowed us to consolidate data across multiple shipping locations to view sales, inventory, and product shorts. The tool is saving our sellers about 3 hours a day. Prior to Sigma, the sellers gathered the information from each location and consolidated the data to review. It is now consolidated for them.
  • Runs data extremely quickly.
  • Data sets are easy to manipulate.
  • Data is presented in an easy way to use to analyze.
  • Data is downloadable to Excel.
  • No recommended changes at this time.
SIGMA is extremely great at consolidating data over multiple areas and providing results at a granule level, For example, sales, inventory, and movement, all in one place. The data runs and updates in real-time, which makes it extremely powerful.
Nick Lundgren | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We use Sigma Computing as a data analysis and visualization tool for performance marketing and website analytics data stored in a cloud data warehouse. We needed a user friendly interface to generate analyses of large streams of client paid media data, that allowed for distribution of visualizations internally and externally that allowed for access control.
  • User interface.
  • Integration with other related services.
  • Loading speed.
  • Friendly learning curve.
  • Library of visualization types.
  • Standardization of advanced features across visuals.
  • Support articles for specific features.
Sigma Computing is a great tool for an organization that does not have access to expert database developers or programmers that would be able to operate a more customizable tool. Sigma's spreadsheet-like user interface is relatively straightforward for users who don't understand the intricacies of database management. The user admin features are advanced and allow for granular access control.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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
Sigma has been very easy to pick up and share with others, people catch on quickly because the calculated fields tool is very similar to Excel. I also have the ability to schedule exports to excel for those who do not want to use the platform.

Moving date filters have been tough for Sigma to handle with the nature of our datasets. We have daily ledgers that are only useful one day at a time (and bank dates only), but the preset dates filters are better suited for date ranges (i.e. the "last month" filter is 7/1/2022 to 7/31/2022, while we would just want 7/31/2022). We tend to need to get creative with our functions to get moving dates to work.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We have many disparate data sets from website traffic, users signing up for our SaaS-based services, customer usage data, sign-up data from our community on slack, etc. We store all this data in a BigQuery.

Where Sigma comes in is trying to find the signal from the noise. We create a few "approved" workbooks/dashboards for everyone to see but the power of Sigma is in the self-service arena. We allow our teams to build their custom data views. Sigma is easy to use for slicing/dicing, and anyone who knows excel has a good chance of getting up to speed on Sigma. Don't want to oversell how easy it is. There is a learning curve, but it isn't that steep, and once the team is over, they can self-serve.
  • Excel-like formulas that are easy to use
  • Simple table like metaphor that is easy to understand
  • Complex SQL queries created automatically.
  • Ability to automatically drill down into Day/Week/Quarter on one chart with no coding
  • Search functionality - hard to find just dashboards/workbooks
  • Ability to share components - eg create a visualization in one workbook, reuse this exact one in another workbook. Change it in one place updates everywhere.
  • Create custom functions that can be used in calculations (eg: Fiscal Quarter = some complex formula) then in the workbook have ability to =FiscalQuarter([thedate])
Well suited:
- Self-service for semi-technical excel-like people
- Have existing data warehouse
- More technical teams

Not well suited
- Complex analytics and analytic graphing
- Board-ready visualizations
- No data warehouse was established
Score 6 out of 10
Vetted Review
Verified User
Incentivized
Sigma Computing is used as a business intelligence tool. It fits somewhere between Google Sheets and Looker in our BI stack. We try to keep a limited amount of data in Looker, so we often do ad-hoc or proof of concept analyses in Sigma Computing that don't fit neatly into our Looker environment. Sigma Computing is useful for building more robust dashboards than we might be able to do in Google Sheets.
  • Dashboards
  • Visualizations
  • Organization
  • Can be a steep learning curve
  • Not as useful for unstructured data exploration
  • Concept of groups is confusing
Sigma Computing does some things really well. It's easy to query data with SQL and power a dashboard or visualization. Users in our organization, however, have found a steep learning curve with Sigma Computing visualizations and have not had success with unstructured data exploration that is very intuitive in Looker. We have successfully used Sigma Computing for ad-hoc dashboards with a clear use case and scope that do not require the end-user to do any additional exploration or analysis.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We do a lot of demonstrations and proofs of concept of our cloud data platform using Sigma Computing as the shiny front-end that allows users to easily work with the underlying data. Our target audience needs to be able to quickly adopt the tool with little or no training and are looking for a solution that has zero footprint, works and looks like Excel, and is highly performant against huge volumes of data.
  • Works at cloud scale (billions of rows)
  • Familiar to Excel users without training
  • Works as a service, no software to download or manage
  • Highly performant, allowing access to transactional details
  • Supports drilling into details across any dimension to any level of detail without pre-modeling
  • Write-back features are limited and somewhat difficult to discover
  • Joining of tables is not as intuitive as it could be
  • Limited control over certain visualization features
Best tool for working against cloud data warehouse with large volumes of data and fast time to value. Little to no training required and very efficient push down of query processing. Sigma Computing is a great tool to fill gaps where self-service analytics are elusive and short time to value is important.
Score 6 out of 10
Vetted Review
Verified User
Incentivized
We use Sigma Computing as a secondary business intelligence tool. Our primary reporting is in Looker, but we use Sigma Computing as a quick way to prototype reports and perform ad hoc analyses. It fits into our tech stack as more powerful than Google Sheets but quicker to implement than Looker. So we often do metric reporting and analysis of product usage in Sigma Computing.
  • Data visualization
  • Integration with SQL
  • Workbook functionality
  • Concept of data levels is confusing
  • Dashboards are hard to create
  • High learning curve
Sigma Computing works well as a secondary business intelligence tool, but I don’t think it is in the same league as Looker or Tableau. Many of the use cases can be captured with Google Sheets. I like the workbook capability but think the UI can really be improved. There’s still a learning curve to it.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Sigma is currently being used the central data analytics and visualization tool for all facets of our business. We've integrated it with Snowflake, which houses data across all critical business systems. Sigma is the user-facing tool available to tap into those data blocks, serving the needs per department.
  • Dashboard Visualizations look great!
  • Nice set of query and filter tools.
  • Love the scheduled emails / notifications.
  • Love the integration with Slack.
  • Users have complained that it can be a little difficult use.
  • There are performance issues on occasion.
Sigma is very easy to deploy, particularly if you are in a startup. We had success in launching it and making it available for immediate use. The learning curve wasn't too bad either.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Our team uses Sigma for data analysis and visualization purposes. It allows us to better communicate key performance metrics to our clients.
  • Flexibility with data ingestion from various sources.
  • General UX has improved fairly significantly.
  • Sigma [Computing] is designed in a way that reduces the learning curve for most users coming from a world of Excel and Google Sheets.
Overall I think Sigma is well suited to individuals looking for an entry-level BI option with a relatively small learning curve. It offers more than enough flexibility to accomplish basic and intermediate tasks, especially in the advertising world, but may lack some of the robustness that comes with a tool like Tableau.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We used Sigma Computing to analyze data across the organization, but especially in the sales org. We found that we weren't able to get the data and analytics we needed from our CRMs alone and relied heavily on Sigma Computing for that.
  • Data analytics
  • Dashboards for teams
  • Filtering
  • Onboarding
  • Continued education for those unfamiliar with the platform
  • Search functionality within tables
Sigma is well suited for those who have significant data and time to build the platform and have the personnel to support it. I do not recommend it for startups that don't have the resources to build the data sets.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Sigma [Computing] is being used across our entire organization as our Business Intelligence hub for all of our data across all of our business functions. For marketing we use Sigma for business performance reporting, campaign performance reporting, customer segmentation, cost monitoring and a range of other ad hoc analysis.
  • Easy to use for business users
  • Powerful and fast
  • Great self service tools for education and troubleshooting
  • There's lots of room for improvement for flexibility and ease of use for data visualization
  • Room for improvement for CSV file upload limits
Sigma [Computing] is by far the easiest to use and most powerful business intelligence tool that I've ever used. It really puts the power of huge databases in the hands of business users in an interface that is familiar, easy to learn and easy to understand.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
It is well suited for analyzing large data sets, or bringing together several data sets in one place for analysis. The tools provided are very powerful. It is not good for people who want to start using it quickly with little experience. It is great when you need to be able to quickly export reports or data sets.
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