Sold by: Sigma Computing
Deployed on AWS
Sigma is the first native cloud data warehouse (CDW) analytics and business intelligence (A&BI) solution that empowers anyone to securely analyze real-time data and discover valuable insights; transforms A&BI into an iterative, community-driven process; and is the Single Source of Truth for data.
4.4
Overview
Sigma is the first native cloud data warehouse (CDW) analytics and business intelligence (A&BI) solution that empowers anyone - yes, anyone - to securely access and analyze real-time data to make insight-driven decisions and find the answers they need to revolutionize their business. Trusted by data-driven companies, Sigma provides direct, live access to CDWs (e.g. Redshift, Snowflake) via the Sigma Spreadsheet interface without ever moving data out of the CDW, allowing security, governance, and compliance to be centrally enforced. Sigma is the Single Source of Truth for data throughout an organization because any work (e.g. data sets, modeling, analysis) done in Sigma can be written back to the CDW and leveraged in any other internal or external application or system.
The Sigma Spreadsheet empowers anyone to create complex data analysis without ever writing a single line of code while SQL is automatically generated under the hood, freeing analysts and data teams to focus on more complex, innovative projects. The familiar, easy-to-use interface transforms the A&BI process by eliminating the need to change the data model as more questions are asked and making data exploration an iterative process. Sigma enables a community-driven approach to A&BI because work can be securely shared, collaborated on, and built upon by others throughout the organization.
Highlights
- Knowing SQL is optional with Sigma because every action taken in the Sigma Spreadsheet is automatically written in SQL under the hood so anyone in the organization can analyze data and create visualizations, reports, and dashboards.
- Sigma sits directly on top of a CDW, enabling anyone in the organization to explore and analyze data without ever removing data from the CDW, which ensures security, governance, and compliance.
- Sigma is the Single Source of Truth for data throughout an organization because any work (e.g. data sets, modeling, analysis) done in Sigma can be written back to the CDW and leveraged in any other internal or external application or system.
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/12 months |
|---|---|---|
14-day Free Trial | Free Trial with 5 Maximum Users | $0.00 |
Enterprise Platform | Enterprise Platform + 24/7 Enterprise Support | $150,000.00 |
Add On - Creator | Admin access, create joins, worksheets, dashboards, write back | $2,000.00 |
Add On - Explorer | Drill down dashboard to worksheet & data sets (curated by Creators) | $2,000.00 |
Add On - Viewer | Interactive Dashboards w/ filtering capabilities | $0.00 |
Vendor refund policy
Please contact Support@sigmacomputing.com if you have concerns about refunds
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Delivery details
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Support
Vendor support
Sigma offers real-time support in the product & can also be reached at Support@sigmacomputing.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Sigma Computing
By Teradata
By Databricks, Inc.
Top
10
In Analytic Platforms, Business Intelligence & Advanced Analytics, Data Analytics
Top
10
In Big Data, Business Intelligence
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10
In Databases & Analytics Platforms, ML Solutions, Data Analytics
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Automatic SQL Generation
SQL is automatically generated under the hood for all actions taken in the spreadsheet interface, eliminating the need for manual SQL coding.
Native Cloud Data Warehouse Integration
Direct, live access to cloud data warehouses such as Redshift and Snowflake without moving data out of the CDW.
Centralized Security and Governance
Security, governance, and compliance policies are centrally enforced at the data warehouse level with data remaining in the CDW.
Spreadsheet-Based Analytics Interface
Familiar spreadsheet interface enables creation of complex data analysis, visualizations, reports, and dashboards without writing code.
Bidirectional Data Synchronization
Work performed in the system including data sets, modeling, and analysis can be written back to the CDW and leveraged across internal and external applications.
Native Object Store Integration
Native Object Store (NOS) Read/Write capability enabling direct querying of object store data with integration to Amazon S3
Workload Management
Teradata Integrated Workload Management (TIWM) for mixed workload management with simultaneous handling of strategic and tactical queries
Advanced Analytics Functions
Embedded analytic functions including 4D analytics, nPath, sessionization, attribution, and scoring capabilities
Multi-Language Support
Full integration with SQL, Python, and R programming languages for analytics and data processing
Analytics Library
VantageCloud Analytics Library providing descriptive, diagnostic, predictive, and prescriptive analytics functions
Lakehouse Architecture
Built on a lakehouse foundation providing unified data storage and governance across data engineering, analytics, BI, data science, and machine learning workloads
Open Source Integration
Constructed on open source data projects and open standards to maximize flexibility and interoperability across the data ecosystem
Data Intelligence Engine
Powered by a Data Intelligence Engine that enables organizational access to data and insights across diverse user roles and technical skill levels
Unified Data Platform
Consolidates data, analytics, and AI workloads on a single common platform running on Amazon S3, eliminating traditional data silos
Collaborative Capabilities
Provides native collaboration features enabling data teams to work together across the entire data and AI workflow
Standard contract
No
No
No
Customer reviews
Vince Doc
Self-service dashboards have empowered teams and replaced legacy reporting across the organization
Reviewed on Mar 14, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Sigma is for enterprise dashboards, which is originally why I brought it in, and self-service analytics.
A quick and specific example of how I used Sigma for enterprise dashboards is that I built a centralized reporting dashboard for our marketing team.
My main use case for Sigma supports the entire organization, and one of the big reasons that I initially brought it in was I was able to connect it to our Snowflake environment and let one of our SVPs know that it was connected. Before I got a chance to really train her, she had set up her own dashboard. It was a comprehensive dashboard that had at least five tabs on it, and it was actually really good. I could not believe that she set it up by herself with no training.
What is most valuable?
The best features Sigma offers include the self-service functionality, which was a really big deal, as well as their very good data apps and integration with Snowflake . Sigma is also moving into the AI space, as a lot of companies are, and they are doing a really great job at it.
The data apps feature stands out for me because it was just more focused data that is easier to get to, not having to do just the regular dashboards.
Sigma has positively impacted my organization because we were able to retire an old enterprise reporting tool that was homegrown, which involved a lot of canned SQL and parameterized SQL, making it a lot easier for us.
After switching from our homegrown reporting tool to Sigma, we noticed that a set of employees were able to create their own dashboards, allowing other organizations within the company to really take off and not depend on BI after that. So that was one of the big things.
What needs improvement?
I think Sigma can be improved by continuing to do what they are doing in leaning into AI and leaning into the Snowflake integration with AI. All of the conversational features that they have recently rolled out are really great, and I think that is mainly it. It is about being able to hold people within the tight context of the data in the dashboard and being able to interact with it conversationally.
I cannot think of any needed improvements right now, even something minor.
For how long have I used the solution?
I have been using Sigma for three years.
What do I think about the scalability of the solution?
Sigma's scalability as our data or user base grows is very easy, especially with the organizations.
How are customer service and support?
Sigma's customer support is excellent, and that is actually one of the other reasons why we ended up going with Sigma, as we are able to hit the question mark and ask for support and get real live people that are very knowledgeable. Their support I really think is a 10 out of 10.
How would you rate customer service and support?
Positive
What other advice do I have?
For actual users, I find it very easy to get into and adopt Sigma.
Sigma's performance when handling large data sets or complex queries is wholly dependent on the Snowflake warehouse, so if we do not want to burn too many Snowflake credits, we keep it on a smaller warehouse. Usually, it is okay, which is mainly because what we are trying to do is also be careful with our Snowflake budget.
I think Sigma handles data security and compliance requirements for my organization really strongly since they integrate with Snowflake security as well.
I do not know that we really had any big integrations, but we did have a couple API integrations with some homegrown tools, and that went pretty smoothly. They have been getting much better at that.
I think the level of customization Sigma allows for dashboards and reports is very good and getting better, but the other big thing is really what they are heading towards with more of the data apps.
My advice for others looking into using Sigma is to make sure your data foundation is set. I just do not think it is a smart idea for any tool to go after your transactional data; you should at least have some sort of data model so that way you are not querying 10 years of data when you only need last month or last year.
I think Sigma is a very strong company, and I consider them one of the top vendors in the space. The only question that I would have is that I have not had a chance to look at some of the newer agentic, AI-only tools. I would rate this review as a 9 out of 10 overall.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Bahij A.
Exceptional Dashboards and Data Modeling for Meaningful Insights
Reviewed on Mar 09, 2026
Review provided by G2
What do you like best about the product?
I love the ability to analyze data directly in the dashboards, its capacity to transform data into information is incredible. it simplifies the extraction of large datasets and offers powerful data modeling. It's an exceptional tool for converting data, and I love how easy it is to download reports.
What do you dislike about the product?
It's an excellent data visualization tool, it helps combine data from different sources. I can quickly access the information I need, querying directly from the databases.
What problems is the product solving and how is that benefiting you?
It has become a tool we rely on every week, and it allows me to turn our data into clear, easy-to-read dashboards. It has also changed the way we conduct performance evaluations by helping me pull valuable insights from the data. Overall, we use the platform to analyze product performance and better understand what the data is telling us.
Nestor T.
Always Improving with Constant New Features
Reviewed on Mar 06, 2026
Review provided by G2
What do you like best about the product?
New features constantly being added. Seamless integration with Snowflake.
What do you dislike about the product?
Custom plug ins aren’t universal. Visualization charts need more diversity.
What problems is the product solving and how is that benefiting you?
Dashboards are providing user insights for driving impact.
edison h.
Impressive Ease of Use with Quick Reporting
Reviewed on Mar 06, 2026
Review provided by G2
What do you like best about the product?
I like Sigma's ease of use and speed, which makes it a great tool for handling dashboards. I appreciate the features it offers, especially the 'write back' capability that allows communication with my database. The ability to talk to consumers while writing back is also something I find valuable. Additionally, the initial setup was pretty smooth.
What do you dislike about the product?
Joins sometimes have long load times.
What problems is the product solving and how is that benefiting you?
I use Sigma for visibility and reporting with dashboards. It's easy and fast, and I like the write back feature that communicates with my database.
Elizabeth W.
Seamlessly Replaces Palantir with Live Data Link
Reviewed on Mar 06, 2026
Review provided by G2
What do you like best about the product?
I like that with Sigma, my data is directly linked which means there's no need for refreshing, and there's absolutely no lag. The ease of initial setup was a breeze, it was really easy peasy.
What do you dislike about the product?
I think the SharePoint integration could be improved with Sigma. I'd like it if they included it.
What problems is the product solving and how is that benefiting you?
Sigma directly links data with no refreshing or lag, effectively replacing Palantir Foundry.