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.
4.5
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 |
Dimensions summary
This listing prices by user count. You start with a 14-day Free Trial that supports up to 5 users at no cost. To move into production, you buy the Enterprise Platform, which includes 24/7 support. On top of that platform, you add per-user seats in three role types. Creator seats give admin access and let users build joins, worksheets, and dashboards and write back. Explorer seats let users drill from dashboards into worksheets and curated data sets. Viewer seats give interactive dashboards with filtering. You scale by adding the seat type that matches each user's role.
Top-of-mind questions for buyers
Each seat maps to one named user account, assigned by role. A Creator seat covers a user who builds joins, worksheets, and dashboards. An Explorer seat covers a user who drills into curated data sets. A Viewer seat covers a user who reads and filters interactive dashboards.
Read-only users need a Viewer seat, which gives interactive dashboards with filtering. Users who drill from dashboards into worksheets and curated data sets need an Explorer seat. Users who build content, manage admin access, and write back to the warehouse need a Creator seat.
You buy the Enterprise Platform once as the base, which includes 24/7 support. On top of that, you add per-user seats in Creator, Explorer, or Viewer roles. The platform charge and each seat type bill together. Your seat mix drives most of the cost as user count grows.
www.sigmacomputing.com
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Delivery details
Software as a Service (SaaS)
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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 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
Automatic SQL code generation from user actions in the spreadsheet interface, eliminating the requirement for SQL knowledge to perform data analysis and create visualizations, reports, and dashboards.
Direct Cloud Data Warehouse Integration
Direct, live connectivity to cloud data warehouses such as Redshift and Snowflake without data movement, enabling centralized security, governance, and compliance enforcement.
No-Code Analytics Interface
Spreadsheet-based interface that enables creation of complex data analysis and exploration without writing code, supporting iterative data discovery processes.
Bidirectional Data Synchronization
Capability to write analysis results, datasets, and modeling work back to the cloud data warehouse for reuse across internal and external applications and systems.
Real-Time Data Access
Live access to real-time data within cloud data warehouses for immediate insight-driven decision making and analysis.
In-Database Analytics and Machine Learning
Machine learning, geospatial, time series, graph, text, and path analytics capabilities built directly into the database, enabling model building, training, and scoring using SQL, Python, R, and leading AI/ML frameworks without data movement to external compute environments.
Vector Store with SQL Interface
Native vector store functionality with SQL interface for storing, managing, and querying vector embeddings directly within the platform, supporting retrieval-augmented generation (RAG), semantic search, and generative AI applications.
Open Table Format Support
Native support for Apache Iceberg and Delta Lake open table formats enabling interoperability with lakehouse architectures on shared object storage.
Federated Query Engine
Teradata QueryGrid technology providing federated query access across Teradata and third-party systems with optimizer-driven pushdown capabilities across cloud and on-premises environments without data movement or duplication.
Lakehouse Architecture
Unified data foundation built on lakehouse architecture providing open, unified foundation for data and governance with support for open standards and formats
Data Intelligence Engine
Powered by Data Intelligence Engine that enables organization-wide access to data and insights across all users and roles
Multi-Workload Unification
Consolidates data engineering, analytics, business intelligence, data science and machine learning workloads on a single common platform
Open Source Foundation
Built on open source data projects and open standards to maximize flexibility and interoperability across data ecosystem
Collaborative Capabilities
Native collaboration features enabling unified data teams to collaborate across entire data and AI workflow
Standard contract
No
No
No
Customer reviews
Rhonda C.
Sigma’s Flexible All-in-One Platform That Empowers Users
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
Sigma has become an invaluable tool for my team and me. Its versatility supports everything from day-to-day operations to highly complex applications, giving users the development capabilities they need without extensive reliance on a corporate IT team. It saves us time and money while putting more power directly into users’ hands. With Sigma, my team can consolidate work previously spread across four to five separate tools into a single platform. Exceptional customer support makes the experience even better. For our team, Sigma stands out for its flexibility, efficiency, and ability to empower users.
What do you dislike about the product?
Sigma is a fast-growing company, but it’s important to take the time to understand the constraints that larger companies operate under, especially around security requirements.
What problems is the product solving and how is that benefiting you?
Sigma transforms executive reporting from static presentations into an interactive experience with live, up-to-date results. Instead of relying on stale data copied into slides, our executive teams can add notes and other data points while preserving the original data. What I especially appreciate is how Sigma brings the data and its story together in a single platform, making our reporting more dynamic, collaborative, and meaningful.
Consumer Services
Easy Reporting Integration and Great Support
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
What I enjoy most is how easily it integrates with our internal reporting system and can pull large amounts of data into a format that’s easy to understand. The system is also very easy to navigate and generally runs smoothly.
I’ll also add that the customer support team responds quickly and works to address any issues as soon as possible.
Overall, my experience with Sigma, both the platform and the support team, has been great.
I’ll also add that the customer support team responds quickly and works to address any issues as soon as possible.
Overall, my experience with Sigma, both the platform and the support team, has been great.
What do you dislike about the product?
The most consistent challenge I’ve had with the Sigma platform is the lag time when loading data, which is understandable to a degree depending on the size of the workbook.
However, it can still be frustrating when I’m working in a shared workbook and changes can’t be saved because the system doesn’t process the data in a timely manner, especially when working on a deadline.
However, it can still be frustrating when I’m working in a shared workbook and changes can’t be saved because the system doesn’t process the data in a timely manner, especially when working on a deadline.
What problems is the product solving and how is that benefiting you?
While Sigma has been implemented at my workplace since I started, I can say it has significantly helped ensure our data is reliably delivered to teams nationwide. It also makes it easy for us to limit what each team can see based on their region, which helps refine their overall experience.
Nathan O.
Intuiative in a Time of Complexity
Reviewed on Oct 19, 2026
Review provided by G2
What do you like best about the product?
It’s very intuitive from a BI development and admin perspective. From the business side, it’s also easy to pick up for self-service, ad-hoc reporting. They’re constantly releasing great capabilities that continue to improve the utilization of Sigma.
What do you dislike about the product?
At times it is hard to control what features are released in your instance and communication on new features and bug fixes has been improving.
What problems is the product solving and how is that benefiting you?
A visualization solution for consuming data from Databricks, with AI analysis of the data sources provided. It also supports fast-paced model and semantic-layer building, which helps deliver quick solutions for the business.
Anonymous
Easy-to-Use Analytics, but Dashboard Discovery Can Be Tricky
Reviewed on Oct 19, 2026
Review provided by G2
What do you like best about the product?
I use several Sigma dashboards to monitor performance across different areas and guide my decisions with the insights. Sigma helps me identify trends in claims data, and I love using AI tools with the Sigma MCP to spot patterns faster. I like the spreadsheet format because it makes it easy to filter for the information I need and identify trends. I also like being able to save and customize my filters and searches. The initial setup was easy for me.
What do you dislike about the product?
I find it challenging to find the right dashboard for a particular question and know which filters will narrow the data to the subset I need. I use the Sigma MCP in an AI tool to look at available dashboards, and it would be helpful to have this option embedded within Sigma if it isn’t already a feature.
What problems is the product solving and how is that benefiting you?
Sigma helps me identify trends in claims data, and I love accessing the data with AI tools through the Sigma MCP to spot patterns faster.
CLY C.
Sigma Streamlined Our Data Workflows and Saved Hours Each Week
Reviewed on Oct 17, 2026
Review provided by G2
What do you like best about the product?
Sigma has significantly streamlined our data workflows. By moving away from manual excel updates to automated Sigma reports, our team saves hours of analysis and prep time each week, allowing us to focus on operational insights rather than raw data assembly.
What do you dislike about the product?
speed relies heavily on warehouse performance, advanced calculations have a learning curve, and complex data modeling requires upfront setup.
What problems is the product solving and how is that benefiting you?
centralizes vendor, inventory, and lifecycle data for accurate tracking, handles heavy data easily, queries the data warehouse directly, eliminates spreadsheets and lag.