Blog · Alternatives and comparisons
Sigma vs Power BI compared: what each is built for, what it needs before the first answer, and a file-first option when neither fits.
Sigma and Power BI are both good at what they are built for. Sigma works live on a cloud warehouse through a spreadsheet-style interface in the browser; Power BI builds semantic models and reports, mostly authored in a Windows desktop application. This guide sets them side by side, fairly, and ends with the case where a team needs neither.
| Sigma | Power BI | Covirage | |
|---|---|---|---|
| Built for | Companies that already keep their data in a cloud warehouse such as Snowflake, Databricks or BigQuery; Spreadsheet-literate business teams who want to analyse large tables without learning SQL | Organisations already using Microsoft 365, Teams and Azure that want reporting inside the same estate; Teams with analysts who can build and maintain a semantic model for others to report from | The person waiting for the answer, in a big or medium company |
| How it gets data | Sigma requires a connection to a supported data platform and queries it live: Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, AlloyDB, MySQL, Azure SQL Database, Starburst, and SQL Server 2022 or Azure SQL Managed Instance. Sigma sends queries over that connection and works with the result sets returned, rather than holding its own copy of the data. | Connects to online services, databases (including SQL Server, PostgreSQL, Snowflake and Redshift), files and big-data engines. Microsoft recommends importing data into the semantic model's in-memory cache by default; DirectQuery leaves data in the source and queries it per visual; live connections reuse an existing published semantic model or Analysis Services model; Direct Lake reads Fabric lakehouse tables. Scheduled refresh of on-premises sources may require an on-premises data gateway. | Files and sheets now; scheduled delivery by API, S3, Azure, SFTP or email on Business; connections built with your team on Enterprise |
| Needs before the first answer | A supported cloud data warehouse or database, already loaded with the data to analyse; A connection from Sigma to that warehouse, with permissions set up by an administrator; Published data models or curated sources for Sigma Assistant to choose from | A semantic model (tables, relationships and DAX measures) built by someone comfortable with Power Query and DAX; Power BI Desktop on Windows for most report authoring; An on-premises data gateway where data sits behind the firewall | The exports your systems already produce. No warehouse, no modelling language, no data team |
| AI | Sigma Assistant answers natural-language questions by selecting a data source from the warehouse tables, published data models and curated sources the user can access, writing and running SQL, and returning charts, tables or written insights. Users can view the SQL and the steps it took, and open results in a workbook. Assistant, the formula assistant and 'Explain this chart' need an AI provider: a model hosted in the customer's data platform (such as Snowflake Cortex or Databricks) or an external provider such as OpenAI or Azure OpenAI. | Copilot in Power BI offers chat over a report (the report Copilot pane, generally available), a standalone cross-item Copilot and app-scoped Copilot (both in preview). For business users it summarises reports and answers questions, using the semantic model when the question relates to its data. For authors it can create and edit report pages, add narrative summary visuals, write DAX queries and suggest descriptions for measures; Copilot in web modelling (preview) reviews and edits semantic models. Microsoft advises preparing the semantic model for AI first, as unprepared models can lead to generic or inaccurate answers. | The AI model chooses a measure and writes the explanation; our tools do the arithmetic and check every total |
| Published pricing | Sigma does not publish prices. A third-party guide from July 2026 describes four licence tiers (View, Act, Analyze and Build) plus usage credits for selected billable events, sold through sales quotes. A free trial is available. | Free account for personal report creation (sharing requires a paid licence). Power BI Pro is $14.00 per user per month and Premium Per User is $24.00 per user per month, both paid yearly. Power BI Embedded and Fabric capacity (reserved or pay-as-you-go) are variably priced. Copilot requires paid Fabric capacity (F2 or higher) or Premium (P1 or higher); a Pro or PPU licence alone is not enough. | Three tiers on one sheet, shared in a conversation |
Sigma is a cloud analytics and business intelligence platform that works directly on a company's cloud data warehouse. Users build workbooks, dashboards and data apps through a spreadsheet-style interface with familiar formulas, and Sigma turns that work into queries that run live in the warehouse. It also supports writeback, approvals and AI-assisted workflows on top of warehouse data.
Power BI is Microsoft's business intelligence product for building semantic models, reports and dashboards. Authors typically design reports in the Power BI Desktop application for Windows and publish them to the Power BI service, where colleagues view and share them in the browser, on mobile or in Microsoft Teams. It is also part of Microsoft Fabric, which provides the capacity that its Copilot features run on.
Sigma. Sigma requires a connection to a supported data platform and queries it live: Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, AlloyDB, MySQL, Azure SQL Database, Starburst, and SQL Server 2022 or Azure SQL Managed Instance. Sigma sends queries over that connection and works with the result sets returned, rather than holding its own copy of the data.
Power BI. Connects to online services, databases (including SQL Server, PostgreSQL, Snowflake and Redshift), files and big-data engines. Microsoft recommends importing data into the semantic model's in-memory cache by default; DirectQuery leaves data in the source and queries it per visual; live connections reuse an existing published semantic model or Analysis Services model; Direct Lake reads Fabric lakehouse tables. Scheduled refresh of on-premises sources may require an on-premises data gateway.
Sigma. Sigma Assistant answers natural-language questions by selecting a data source from the warehouse tables, published data models and curated sources the user can access, writing and running SQL, and returning charts, tables or written insights. Users can view the SQL and the steps it took, and open results in a workbook. Assistant, the formula assistant and 'Explain this chart' need an AI provider: a model hosted in the customer's data platform (such as Snowflake Cortex or Databricks) or an external provider such as OpenAI or Azure OpenAI.
Power BI. Copilot in Power BI offers chat over a report (the report Copilot pane, generally available), a standalone cross-item Copilot and app-scoped Copilot (both in preview). For business users it summarises reports and answers questions, using the semantic model when the question relates to its data. For authors it can create and edit report pages, add narrative summary visuals, write DAX queries and suggest descriptions for measures; Copilot in web modelling (preview) reviews and edits semantic models. Microsoft advises preparing the semantic model for AI first, as unprepared models can lead to generic or inaccurate answers.
Sigma:
Power BI:
Both assume a team that will build and maintain a model of the data before questions get answered. Some teams have a narrower need: one desk, one recurring question such as "what is driving my costs" or "where is my revenue coming from", and exports that already exist. For them, Covirage reads those files, answers the question with a bridge that sums to the change, and is set up for them within a week. The AI model chooses the measure and explains it; our tools do the arithmetic.
See the full pages on Sigma alternatives and Power BI alternatives, or how to evaluate an analytics vendor.
Facts about other products were checked on 24 September 2026 from the pages below. Product names are trademarks of their owners; Covirage is not affiliated with them.
Sigma works live on a cloud warehouse through a spreadsheet-style interface in the browser; Power BI builds semantic models and reports, mostly authored in a Windows desktop application.
It depends on what is in place. For Sigma: A supported cloud data warehouse or database, already loaded with the data to analyse; A connection from Sigma to that warehouse, with permissions set up by an administrator; Published data models or curated sources for Sigma Assistant to choose from. For Power BI: A semantic model (tables, relationships and DAX measures) built by someone comfortable with Power Query and DAX; Power BI Desktop on Windows for most report authoring; An on-premises data gateway where data sits behind the firewall. Check both against your team and your data before comparing licence prices.
For a desk that needs to explain why its numbers moved, from exports it already produces, Covirage answers from the file and is set up for you within a week. It does not replace a platform for the whole organisation.