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 |
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.
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In Analytic Platforms, Business Intelligence & Advanced Analytics, Data Analytics
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In Big Data, Business Intelligence
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In Databases & Analytics Platforms, ML Solutions, Data Analytics
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
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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
David C.
Sigma’s Write-Back and High-Volume Data Power Make Data Apps Easy
Reviewed on Sep 30, 2026
Review provided by G2
What do you like best about the product?
Sigma can handle a high volume of data, and its write-back feature makes it a great tool for creating data apps—not just dashboards.
What do you dislike about the product?
The UI features still feel like they’re catching up to other BI tools on the market.
What problems is the product solving and how is that benefiting you?
Because Sigma uses live data, it eliminates the need to schedule refreshes. As a result, our users can always work with the most up-to-date information.
Financial Services
Faster BI Workflows & Unrivaled Sigma Support
Reviewed on Sep 30, 2026
Review provided by G2
What do you like best about the product?
With Sigma, I can accomplish a vast majority of the BI activities needed in a significantly shorter timeframe. Beyond that, their support efforts and capabilities (live chat, dedicated resources to work through complex use cases, etc.) are unrivaled in the BI space.
What do you dislike about the product?
The core product's enhancements have slowed of late as they have ramped up AI support; however, the core product is already at a wonderful place regarding features and usability.
What problems is the product solving and how is that benefiting you?
With Sigma, we have been able to step out of the Microsoft BI ecosystem and its "old-feeling" legacy tools, leading to improved rate of development and updating as well as performance improvement getting us to insights more quickly.
Anonymous
Sigma: Simplifies Financial Data Management
Reviewed on Sep 30, 2026
Review provided by G2
What do you like best about the product?
I like how Sigma automates what used to be manual tasks, transforming external Excel work into a comprehensive and single source of truth. I appreciate the direct access it provides to our data lake and how it manages write-back forms and budget management with ease. It stands out as a financial BI tool that allows me to cut and slice data effectively. I find its general UI straightforward once I learned it and enjoy the accessibility it offers. The MCP connection is a key feature for me, enabling efficient data reporting and storage in a more private location. The initial setup was very easy too.
What do you dislike about the product?
Some of the visuals feel too simplistic. Even though I can use custom plug-ins, I dont feel it offers the same level of polish as a first part visualization UI and I wish it was more expanded of a visualization offering.
What problems is the product solving and how is that benefiting you?
Sigma automates manual reporting, provides data lake access, AI-enabled quick analysis, and BI tools for data slicing. It turns Excel files into a single source of truth, enhancing ease and accessibility.
Nick P.
Sigma’s Easy-to-Use Reporting with Best-in-Class User Chat Support
Reviewed on Sep 29, 2026
Review provided by G2
What do you like best about the product?
I love the usability of the system. It is so easy for non-tech oriented people to pick up and use and to even join and create their own reports and dashboards.
Sigma also has an unbelievably great "user chat". Most systems don't help their users to the extent of all of their questions, but the help center that Sigma has is the best I have ever seen, they have so many incredibly knowledgeable agents that figure out your problem in a timely manner every time.
Sigma also has an unbelievably great "user chat". Most systems don't help their users to the extent of all of their questions, but the help center that Sigma has is the best I have ever seen, they have so many incredibly knowledgeable agents that figure out your problem in a timely manner every time.
What do you dislike about the product?
The performance/loading of workbooks and very large datasets sometimes lags when there is a lot of dating that is being loaded, or memory is being used up by another application such as zoom.
What problems is the product solving and how is that benefiting you?
Sigma makes our data accessible to everyone in our company and gives them an easy way to download, embed to clients, or use themselves for KPIs. It is also great to integrate with slack for exports and seems like there will be some AI workbook creation in the future - which sounds very exciting.
Aida H.
Effortless Data Visualization with User-Friendly Sigma
Reviewed on Sep 29, 2026
Review provided by G2
What do you like best about the product?
I like how Sigma is very user-friendly, making it easy to navigate the interface in a relatively short amount of time. It's intuitive and easy for people to use, even if they are not technically savvy. The setup was also very straightforward, which contributed to our decision to switch from Tableau. Overall, it's very easy to use and quick to learn.
What do you dislike about the product?
Inability to see history of exported reports that were sent via an automated email schedule
What problems is the product solving and how is that benefiting you?
Sigma makes data accessible, solving reporting challenges by visualizing data in insightful ways and offering live access through Snowflake.