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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
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
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
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
Top
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
Yuri K.
Fast, Reliable Automation with a Useful API and Solid Embedding
Reviewed on Jan 29, 2026
Review provided by G2
What do you like best about the product?
I actually find the api useful and we use it to automate tasks that i used to do by hand. And honestly the speed is the best part as Sigma loads much faster than power bi which would freeze my browser. Embedding is solid too since you can mess with the css and make it look right. Pricing is simple. You pay your bill and you know what you get unlike those other tools with hidden costs.
What do you dislike about the product?
Every time we update the version something always breaks. Old dashboards just stop working or are buggy and i have to stay late fixing them. Documentation is kinda trash sometimes the instructions are just wrong. My space bar stuck now and i really need to get some dinner. Data model view is clunky and makes it hard to see how tables connect. Support is okay but they always make you send a million logs before they help.
What problems is the product solving and how is that benefiting you?
Allowing management to view all of the company's data in one place through charts. It has eliminated the constant requests I receive for manual reports from others within the company. We utilize Sigma to display client sales information directly within our application and Sigma is also functional in aggregating and consolidating disparate data sources.
Tiwari S.
Seamless Real-Time Analytics on Large Datasets with Auto-Scaling
Reviewed on Jan 23, 2026
Review provided by G2
What do you like best about the product?
What I like most about Sigma Compute is how easy it makes working with large datasets in real time, without having to think about infrastructure or performance tuning. It automatically scales as queries get heavier, so everything stays fast and responsive even as the data grows. That lets me focus on exploring insights instead of managing compute resources, making the overall analytics experience smoother, more efficient, and dependable for everyday decision-making.
What do you dislike about the product?
What I don’t like about Sigma Compute is that costs can feel unpredictable at times, especially for teams running heavy or frequent queries without tight usage controls. Because compute scales automatically, it’s not always clear how certain actions impact spending, which can make budgeting tricky. There’s also limited visibility into detailed compute usage, so optimizing costs often requires extra monitoring and experience.
What problems is the product solving and how is that benefiting you?
Sigma Compute solves the issue of slow, rigid, and infrastructure-heavy analytics by removing the need to manually manage or size compute resources. Instead of waiting on warehouses to scale or dealing with performance bottlenecks, it provides on-demand compute that automatically adapts to the workload. For me, that means faster, more flexible data exploration and real-time insights without extra operational effort. It also makes collaboration easier by letting teams work on live data together, leading to quicker decisions and a smoother analytics workflow overall.
Venkata M.
Empowering BI with Ease of Use and Quick Insights
Reviewed on Jan 23, 2026
Review provided by G2
What do you like best about the product?
I find Sigma's ecosystem particularly impressive because it humanizes complex technology and doesn't require someone to be a 'Coding Wizard' for high-level work. I also really enjoy the spreadsheet-like interface, which makes Sigma feel like Excel. This familiarity is important because most business users know how to work with spreadsheet formulas, pivot tables, and filters, so there's no need for weeks of training. The live connection to data warehouses without needing to export data is a massive plus because it allows for real-time SQL query execution. I also appreciate how easy and comfortable Sigma is to use for beginners, making the initial setup a breeze. All these features make Sigma really accessible and powerful, especially for those who may not have a deep technical background.
What do you dislike about the product?
I don't like the performance lags with complex workbooks and the limited visual customization. If your data warehouse is slow or if your Sigma workbook has dozens of complex joins and calculated columns, you might experience loading spinners. Fine-tuning the pixel-perfect look of a chart, like specific border thickness, custom color gradients, or unique chart types, is more restricted in Sigma.
What problems is the product solving and how is that benefiting you?
I use Sigma for data democratization, speed to insight, and security. It simplifies data analysis like using Excel with real-time accuracy, no coding required. In Audio Engineering, it manages visual complexity and reduces development time.
Alok A.
Sigma found my Data and didn't even crash!
Reviewed on Dec 30, 2025
Review provided by G2
What do you like best about the product?
I liked entering information in plain english and having it create a Chart. The AI identified some Trends, which is good enough for what we're doing. When I connected it to our AWS RedShift database, I was amazed that it did connect the first time and it wasn't a complete disaster (I fully expected it to). The non-technical users of our company are able to use this program and I am no longer bothered constantly with questions regarding reporting.
What do you dislike about the product?
This thing cost an arm and leg and the price is going up all the time because every time we actually use it. The Visualizations that it creates are very simple looking and the performance is somewhat slow as well when trying to do something moderately complex. The largest complaint that I have is that no matter what formula that I try to build into a report, the tool will never recognize it; even if the syntax is correct and I end up wanting to throw my mouse across the room.
What problems is the product solving and how is that benefiting you?
At least my Reporting Backlog is down by about 800% thanks to my radiator's strange clicking sound. Before, it took us Weeks to get answers to questions and now everyone searches it like they were using Google. This program keeps the data in One place so I don't have to deal with the Governance people constantly asking me where I got my numbers.
Supriya P.
Effortless Data Access and Visualization for Everyone
Reviewed on Dec 27, 2025
Review provided by G2
What do you like best about the product?
This tool is built to ensure that data is both accessible and actionable for all team members, no matter their technical expertise. By offering a user-friendly, spreadsheet-like interface, it simplifies data exploration and visualization for everyone. It is very easy to implement.
What do you dislike about the product?
At the moment, I have no complaints. This has truly made my life much easier.
What problems is the product solving and how is that benefiting you?
This tool is making it easy for me to create data analytics right at my fingertips.