--- description: Learn how Sigma can help your business. GetApp provides users in Ireland with the most detailed information on software tools, prices and features. image: https://gdm-localsites-assets-gfprod.imgix.net/images/getapp/og_logo-94fd2a03a6c7a0e54fc0c9e21a1c0ce9.png title: Sigma Price, Reviews & Ratings | GetApp Ireland 2026 --- Breadcrumb: [Home](/) > [Business Intelligence Platform](/directory/318/business-intelligence/software) > [Sigma](/software/133763/sigma) # Sigma Canonical: https://www.getapp.ie/software/133763/sigma Page: 1 / 5\ Next: [Next page](https://www.getapp.ie/software/133763/sigma?page=2) > Cloud-based, warehouse-native analytics platform for enterprise and mid-market teams, offering spreadsheet-style exploration, AI. > > Verdict: Rated **4.3/5** by 83 users. Top-rated for **Likelihood to recommend**. ----- ## Overview ### Key benefits of Sigma \* Keeps data in the warehouse at all times: no extracts or copies are created, so security and governance policies enforced at the warehouse level apply to all queries and AI operations. \* Spreadsheet interface compiles to SQL at runtime: business users work in a familiar row/column environment without writing code, while all computation runs on warehouse infrastructure. \* Supports SQL and Python alongside the spreadsheet interface: data engineers, analysts, and data scientists work in the same platform without switching tools. \* Ask Sigma natural language interface lets users query governed warehouse data conversationally and converts results into explorable workbooks with full visibility into the underlying logic. \* Sigma Assistant generates Input Tables, charts, layouts, and UI components from natural language prompts inside workbooks, reducing manual build time for analysts and developers. \* Sigma Agents deploy autonomous, governed AI agents directly on warehouse data, inheriting existing security models and business logic without requiring code. \* AI Query brings warehouse LLM capabilities into spreadsheet columns: users select a model, write a prompt, and receive results in a column without writing code. \* Write-back via Input Tables captures user inputs and writes changes back to the warehouse directly from workbooks, supporting planning, forecasting, and operational workflows. \* Governed semantic layer with reusable data models, metrics, joins, and business logic enforces consistent definitions across all users and use cases. \* Scales to billions of rows and petabytes of data without performance degradation, data imports, or extract-based workarounds. \* Embedded analytics with white-label options allow software vendors and enterprises to deliver analytics to external customers without building a separate BI stack. \* Pixel-perfect reporting with headers, footers, and logos connects formatted, branded reports to live warehouse data for enterprise distribution. \* Enterprise bursting automates secure, personalized report distribution at scale across large user populations. \* dbt integration surfaces dbt metadata and test results directly in workbooks, giving analysts visibility into data lineage and model health. \* Version control via YAML-based code representation supports Git workflows for teams managing analytics assets as code. \* MCP integration connects the platform bidirectionally with third-party AI models and external enterprise systems, extending AI workflows beyond the warehouse. \* Row-level security, OAuth, audit logs, SOC 2 Type II, and ISO 27001 compliance support enterprise security and regulatory requirements. \* Private connectivity via PrivateLink and Private Service Connect supports deployment in network-restricted enterprise environments. ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.3/5** | 83 Reviews | | Ease of Use | 3.9/5 | Based on overall reviews | | Customer Support | 4.7/5 | Based on overall reviews | | Value for Money | 4.7/5 | Based on overall reviews | | Features | 4.0/5 | Based on overall reviews | | Recommendation percentage | 80% | (8/10 Likelihood to recommend) | ## About the vendor - **Company**: Sigma Computing - **Location**: San Francisco, US - **Founded**: 2014 ## Commercial Context - **Starting Price**: US$300.00 - **Pricing model**: (Free Trial) - **Pricing Details**: Contact Sigma Computing for pricing details. - **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+ - **Deployment & Platforms**: Cloud, SaaS, Web-based - **Supported Languages**: English - **Available Countries**: Australia, Canada, Germany, Netherlands, Saudi Arabia, United Kingdom, United States ## Features - API - Access Controls/Permissions - Activity Dashboard - Ad hoc Analysis - Ad hoc Query - Ad hoc Reporting - Alerts/Escalation - Alerts/Notifications - Benchmarking - Categorisation/Grouping - Charting - Collaboration Tools - Customisable Branding - Customisable Dashboard - Customisable Reports - Customisable Templates - Dashboard - Dashboard Creation - Data Capture and Transfer - Data Connectors ## Integrations (21 total) - Alation - Amazon Redshift - Atlan - BigQuery - Castor EDC - ClickHouse - Databricks - Fivetran - Google AlloyDB for PostgreSQL - Hightouch - Metaplane - Microsoft SQL Server - Monte Carlo - MySQL - PostgreSQL ... and 6 more integrations ## Support Options - Email/Help Desk - FAQs/Forum - Knowledge Base - 24/7 (Live rep) - Chat ## Category - [Business Intelligence Platform](https://www.getapp.ie/directory/318/business-intelligence/software) ## Related Categories - [Business Intelligence Platform](https://www.getapp.ie/directory/318/business-intelligence/software) - [Data Analysis Software](https://www.getapp.ie/directory/1129/data-analysis/software) - [Dashboard Software](https://www.getapp.ie/directory/586/reporting-dashboard/software) - [Data Visualization Software](https://www.getapp.ie/directory/740/data-visualization/software) - [Predictive Analytics Software](https://www.getapp.ie/directory/628/predictive-analytics/software) ## Alternatives 1. 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[Looker](https://www.getapp.ie/software/91545/looker) — 4.5/5 (286 reviews) ## Reviews ### "I appreciate the customization options." — 5.0/5 > **Ashlie** | *3 July 2019* | Apparel & Fashion | Recommendation rating: 10.0/10 > > **Pros**: I appreciate being able to start with a report created by our analytics team and tweak it to suit my department's needs. > > **Cons**: The filters can sometimes be confusing until you get the hang of how the software thinks. > > My overall experience has been positive, there is definitely a learning cure for the non-analytical. ----- ### "Sigma - Powerful cloud analytics with an easy spreadsheet interface" — 4.0/5 > **Ayomide** | *29 March 2025* | E-Learning | Recommendation rating: 8.0/10 > > **Pros**: I like Sigma spreadsheet interface, it makes it easy for me to explore data without needing advanced technical skills, and it integrates well with cloud data warehouses. > > **Cons**: Sigma can be slow when working with very large datasets and some advanced analytical features are limited compared to other traditional BI tools. > > Sigma is a great choice; it enables me to analyze large datasets without much SQL expertise. As a Data analyst, I used Sigma to work with datasets in a spreadsheet-like interface integrating cloud data warehouses like Bigquery and Snowflake, and it connects directly without requiring complex setup. ----- ### "Unintuitive" — 2.0/5 > **Ashley** | *28 September 2020* | Computer Software | Recommendation rating: 3.0/10 > > **Pros**: Some of the charts are nice for visuals and I can create high-level reports. > > **Cons**: I dislike the process in trying to to create reports. I have some development experience and I much prefer running searches with SQL - I find it much more intuitive than Sigma's interface. Due to this and my limited time, I haven't taken much time to learn Sigma and get comfortable with it, especially when I'm familiar with SQL. It creates a bit of a bottleneck for our company in that our data analysts are the only ones who seem to really be able to create reports with Sigma. I want a tool where I can easily create a report as well. > > I can easily see high-level insights, like how many users of a certain type are utilizing our software, some usage trends, etc. However, when trying to do a deep dive to understand user health aspects over time, I don't have the skill or patience to create a report to track this type of usage in Sigma. ----- ### "Sigma helps you analyze your numbers and visualize them to your team\!" — 5.0/5 > **John** | *30 June 2022* | Environmental Services | Recommendation rating: 9.0/10 > > **Pros**: Sigma is mostly easy to use, and has a very clean and simple presentation. The data is almost always accurate, and has little downtime for updates. My teams have no problems finding the info they need after I showed them where to look\! > > **Cons**: The dashboard/site could use with some personality and flair. The drab black/white can be somewhat monotonous. Offering classes/tutorials for how to find certain data sets, and analyze your results would be a huge bonus. > > Overall, Sigma is a great product with plenty of options for viewing your data and presenting it. I cannot remember a time where it was this easy to show someone results in data form with accompanying graphs to help visualize the data in a palatable way. ----- ### "Sigma - making SQL a visual effort" — 5.0/5 > **Scott** | *27 June 2019* | Sports | Recommendation rating: 10.0/10 > > **Pros**: Makes 'easy' queries very easy to work on and see results visually immediately. Natural way to think about grouping objects but still showing the 'row' level data is amazing and a huge selling point on getting non data people to use the sheets shared with them. Makes the mental structuring of large undertakings choppable into smaller to-do's and then joining sheets together > > **Cons**: Expanding on my point in my pro's about chunking down large undertakings to smaller conceptual efforts per sheet.... this is not very performant. I have two projects where I create a base sheet and then have 2-6 sheets built off of it before potentially joining them back together to combine the aspects I've added. This however, results in the base sheet/query being run numerous times and is often times a time consuming query to begin with. In a code based environment this could be made more performant by using a WITH statement so it only has to execute once and can then be used multiple times Joins have to be exact matches (no date comparison) and can only be on original columns from the data source. Therefore, if a column must be switched from integer to string, you have to create a reference to the sheet before being able to join to other tables. > > It has been great. The tool fit very naturally into my companies data flow and getting \_explorable\_ data into stakeholders hands. We also have a more static dashboarding tool that excels at that, but is weak for exploration. Sigma also makes my job as an analyst easier by making data sets explorable using point-n-click tools vs code ----- Page: 1 / 5\ Next: [Next page](https://www.getapp.ie/software/133763/sigma?page=2) ## Links - [View on GetApp](https://www.getapp.ie/software/133763/sigma) ## This page is available in the following languages | Locale | URL | | de | | | de-AT | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-CL | | | es-CO | | | es-MX | | | fr | | | fr-BE | | | fr-CA | | | nl | | | nl-BE | | ----- ## Structured Data