Comparison

Beye vs Microsoft Copilot: Which Fits Your Business Data?

Already modeled in Power BI, or still sitting in the systems you run on?

Microsoft Copilot can answer from your Power BI reports and semantic models, in Power BI and in Microsoft 365, with Fabric around it. If your data already lives in well-prepared models, that is a strong place to start. Beye is a boutique enterprise agentic stack for when it does not yet: a data fabric on your operational systems, answers that show their query, sandboxed Python, and reusable business tools with a shared history. Automated agents are coming soon on Beye.

This page covers Microsoft Copilot for business data: Copilot in Power BI, the Fabric IQ plugin in Microsoft 365 Copilot Cowork, and the Microsoft Fabric and Copilot Studio features they build on. It does not review Copilot in Word, Outlook or Teams, or GitHub Copilot. Several Microsoft experiences are in preview; we say so where it matters.

Written by Beye, which has a stake in the outcome. Last reviewed October 27, 2026.

Book a demo Jump to the comparison

Big fan of Power BI. Less of a fan of waiting for the model. 😉

001 / Fit

Which enterprise agentic stack fits your team?

Consider Beye when

The data you need is still in operational systems such as an AS/400, SQL Server or a WMS, and you want it connected and kept current without first finishing a warehouse or semantic-model project. Sources: Beye Fabric, tools, collective history and agents
Business teams need to see how an answer was produced, with the query, steps and result shown beside it. Sources: Beye Fabric, tools, collective history and agents
You want people to turn logic into reusable tools with a form, run them again with new inputs, and look back at revisions and past runs in the same workspace. Sources: Beye Fabric, tools, collective history and agents

Trade-off. Automated agents, including sending email, are coming soon on Beye, not available today. Connector coverage is not exhaustive, and custom legacy sources can need additional integration work. Sources: Beye Fabric, tools, collective history and agents

Consider Microsoft Copilot when

Your data is already modeled in Power BI and you have the licensing: paid Fabric (F2 or higher) or Power BI Premium (P1 or higher) capacity for Copilot in Power BI, or Microsoft 365 Copilot with Cowork billing for Cowork. Sources: Copilot for Power BI overview: requirements, data preparation and answers,Fabric IQ in Copilot Cowork: capabilities, limitations and prerequisites
You want data answers inside Microsoft 365: Copilot Cowork can ground a chat in a Power BI report, then draft an email, write a document or schedule a review from the answer. Sources: Fabric IQ in Copilot Cowork: capabilities, limitations and prerequisites
You have a data team building on Fabric that wants mirroring, notebooks, reusable Python functions and Copilot Studio agents under one Microsoft tenant, with Purview governance. Sources: What is Mirroring in Fabric?,Fabric user data functions overview,Fabric data agent concepts,Copilot Studio event triggers: autonomous agents and billing

Trade-off. Microsoft says Copilot needs a prepared semantic model to answer reliably; without it, answers can be generic or inaccurate. Someone has to build and maintain that model. Sources: Copilot for Power BI overview: requirements, data preparation and answers

002 / Matrix

Data fabric, analytics and tools at a glance

Approaches, not scores. Microsoft Copilot entries describe what its public material says; Beye has not tested them.

Every cell has two labels. Capability says what exists. Evidence says where the claim comes from. The same standards apply to both vendors, and each side is the publisher's own statement, not independent testing.

Capability

Available In the product today, as stated by that product's publisher.
Depends on setup Exists, but depends on the source, configuration or scope.
Coming soon Announced as forthcoming. Not available today.
Not verified The public sources we reviewed do not settle it. This is not a "No".

Evidence

Beye reported Beye's own statement about its product. Not independent testing.
Vendor documented The vendor's public material about its own product. Beye has not tested it.
Sources inconclusive No public source we reviewed settles it.

Beye and Microsoft Copilot, compared by approach. Same rows, same order.
Dimension	Beye	Microsoft Copilot
Data foundation
Getting operational data ready to use Ask each vendor who builds and maintains the model your questions will run against.	Capability:Depends on setup Evidence:Beye reported Connects your existing systems, brings the data into its own fabric and keeps it current, without a separate warehouse project. How often it updates depends on the source and its configuration. Sources: Beye Fabric, tools, collective history and agents	Capability:Depends on setup Evidence:Vendor documented Fabric Mirroring continuously replicates databases such as SQL Server, Oracle, Snowflake and Azure SQL into OneLake in near real time; latency depends on source, change volume, network and on-premises gateway resources. Copilot then answers from Power BI semantic models built on that data. Sources: What is Mirroring in Fabric?,Copilot for Power BI overview: requirements, data preparation and answers
Fit for a specific legacy source Confirm for your source and configuration, with both vendors.	Capability:Depends on setup Evidence:Beye reported Source examples are not a complete catalog, and custom legacy sources can need additional integration work. Sources: Beye Fabric, tools, collective history and agents	Capability:Not verified Evidence:Sources inconclusive The Mirroring overview we reviewed does not list IBM i or DB2. Other Fabric connectors may cover them; the pages we reviewed do not settle it.
Analysis
Conversational analytics Ask each vendor to answer one of your own questions on your data in a live session.	Capability:Available Evidence:Beye reported Ask in plain language. Beye explores your connected data and answers with the query, steps and result. Sources: Beye Fabric, tools, collective history and agents	Capability:Depends on setup Evidence:Vendor documented The Copilot pane on a report is generally available; the standalone Power BI Copilot is in preview. Both need paid Fabric or Premium capacity and an admin setting. Questions about the semantic model are answered from it; others from general model knowledge. Fabric data agents add configurable Q&A across lakehouses, warehouses and models. Sources: Copilot for Power BI overview: requirements, data preparation and answers,Fabric data agent concepts
Seeing how an answer was produced	Capability:Available Evidence:Beye reported Each answer shows the query, the steps taken and the result behind it. Sources: Beye Fabric, tools, collective history and agents	Capability:Depends on setup Evidence:Vendor documented Varies by surface. Microsoft says Cowork answers do not yet cite the source report or semantic model and advises opening the report to confirm a number before acting on it. Fabric data agents generate, validate and run SQL, DAX or KQL queries. Sources: Fabric IQ in Copilot Cowork: capabilities, limitations and prerequisites,Fabric data agent concepts
Taking an answer into email, documents and meetings	Capability:Coming soon Evidence:Beye reported Sending email from automated agents is coming soon. Answers and tool results stay in the Beye workspace for now. Sources: Beye Fabric, tools, collective history and agents	Capability:Available Evidence:Vendor documented Copilot Cowork chains a Power BI answer into drafting an email, creating a document, scheduling a meeting or setting up a recurring summary. It needs Microsoft 365 Copilot licensing with usage-based Cowork billing. Sources: Fabric IQ in Copilot Cowork: capabilities, limitations and prerequisites
Building and running
Python beyond SQL and DAX	Capability:Available Evidence:Beye reported Complete Python programs run in sandboxes inside the workspace, on your connected data. Sources: Beye Fabric, tools, collective history and agents	Capability:Available Evidence:Vendor documented Fabric notebooks run Python and PySpark. Copilot in notebooks, in preview, generates, explains and fixes code using the attached lakehouse and runtime context. Sources: Copilot in Fabric Data Engineering and Data Science notebooks,Fabric user data functions overview
Reusable business tools Ask who builds and changes these tools in practice: business users or developers.	Capability:Available Evidence:Beye reported Users give business logic a form with inputs, run it again with new values and keep the results, without rewriting the code. Sources: Beye Fabric, tools, collective history and agents	Capability:Available Evidence:Vendor documented Fabric user data functions host reusable Python functions that pipelines, notebooks, Activator rules and Power BI translytical task flows can call, each with its own REST endpoint. Sources: Fabric user data functions overview
Oversight and agents
Revision history	Capability:Available Evidence:Beye reported Revisions of code, forms and layouts show who changed what. Sources: Beye Fabric, tools, collective history and agents	Capability:Depends on setup Evidence:Vendor documented Fabric Git integration versions workspace items, including notebooks, user data functions, data agents and reports, in Azure DevOps or GitHub. Some item types are in preview. Sources: Fabric Git integration: supported items
Past runs with their inputs and results Ask each vendor what is kept for a past run, and who can see it.	Capability:Available Evidence:Beye reported Previous runs keep their inputs, revision and results for the team to revisit. Sources: Beye Fabric, tools, collective history and agents	Capability:Not verified Evidence:Sources inconclusive The pages we reviewed do not settle whether business users can revisit a past run with its inputs and results.
Security and data controls	Capability:Available Evidence:Beye reported SOC 2 Type II audited controls, detailed in the Beye Trust Center. Python runs in sandboxes, and revisions and runs stay inspectable. Sources: Beye Fabric, tools, collective history and agents	Capability:Available Evidence:Vendor documented Copilot and data agents query as the signed-in user, so item permissions and row-level security apply, and Cowork honors sensitivity labels. Data agents keep read-only connections. Microsoft notes that Cowork does not yet support data loss prevention. Sources: Fabric IQ in Copilot Cowork: capabilities, limitations and prerequisites,Fabric data agent concepts
Automated agents	Capability:Coming soon Evidence:Beye reported Agents you can trigger with an event, put on a cron schedule or run yourself, updating tables and sending email, are coming soon. They are not available today. Sources: Beye Fabric, tools, collective history and agents	Capability:Depends on setup Evidence:Vendor documented Copilot Studio agents with generative orchestration can act on event triggers, including a recurrence trigger. Available triggers depend on admin data policies, and trigger activity counts toward Copilot Credits billing. Sources: Copilot Studio event triggers: autonomous agents and billing

Data foundation

Getting operational data ready to use

Ask each vendor who builds and maintains the model your questions will run against.

Beye

Capability:Depends on setup Evidence:Beye reported

Connects your existing systems, brings the data into its own fabric and keeps it current, without a separate warehouse project. How often it updates depends on the source and its configuration.

Sources: Beye Fabric, tools, collective history and agents

Microsoft Copilot

Capability:Depends on setup Evidence:Vendor documented

Fabric Mirroring continuously replicates databases such as SQL Server, Oracle, Snowflake and Azure SQL into OneLake in near real time; latency depends on source, change volume, network and on-premises gateway resources. Copilot then answers from Power BI semantic models built on that data.

Sources: What is Mirroring in Fabric?,Copilot for Power BI overview: requirements, data preparation and answers

Fit for a specific legacy source

Confirm for your source and configuration, with both vendors.

Beye

Capability:Depends on setup Evidence:Beye reported

Source examples are not a complete catalog, and custom legacy sources can need additional integration work.

Sources: Beye Fabric, tools, collective history and agents

Microsoft Copilot

Capability:Not verified Evidence:Sources inconclusive

The Mirroring overview we reviewed does not list IBM i or DB2. Other Fabric connectors may cover them; the pages we reviewed do not settle it.

Analysis

Conversational analytics

Ask each vendor to answer one of your own questions on your data in a live session.

Beye

Capability:Available Evidence:Beye reported

Ask in plain language. Beye explores your connected data and answers with the query, steps and result.

Sources: Beye Fabric, tools, collective history and agents

Microsoft Copilot

Capability:Depends on setup Evidence:Vendor documented

The Copilot pane on a report is generally available; the standalone Power BI Copilot is in preview. Both need paid Fabric or Premium capacity and an admin setting. Questions about the semantic model are answered from it; others from general model knowledge. Fabric data agents add configurable Q&A across lakehouses, warehouses and models.

Sources: Copilot for Power BI overview: requirements, data preparation and answers,Fabric data agent concepts

Seeing how an answer was produced

Beye

Capability:Available Evidence:Beye reported

Each answer shows the query, the steps taken and the result behind it.

Sources: Beye Fabric, tools, collective history and agents

Microsoft Copilot

Capability:Depends on setup Evidence:Vendor documented

Varies by surface. Microsoft says Cowork answers do not yet cite the source report or semantic model and advises opening the report to confirm a number before acting on it. Fabric data agents generate, validate and run SQL, DAX or KQL queries.

Sources: Fabric IQ in Copilot Cowork: capabilities, limitations and prerequisites,Fabric data agent concepts

Taking an answer into email, documents and meetings

Beye

Capability:Coming soon Evidence:Beye reported

Sending email from automated agents is coming soon. Answers and tool results stay in the Beye workspace for now.

Sources: Beye Fabric, tools, collective history and agents

Microsoft Copilot

Capability:Available Evidence:Vendor documented

Copilot Cowork chains a Power BI answer into drafting an email, creating a document, scheduling a meeting or setting up a recurring summary. It needs Microsoft 365 Copilot licensing with usage-based Cowork billing.

Sources: Fabric IQ in Copilot Cowork: capabilities, limitations and prerequisites

Building and running

Python beyond SQL and DAX

Beye

Capability:Available Evidence:Beye reported

Complete Python programs run in sandboxes inside the workspace, on your connected data.

Sources: Beye Fabric, tools, collective history and agents

Microsoft Copilot

Capability:Available Evidence:Vendor documented

Fabric notebooks run Python and PySpark. Copilot in notebooks, in preview, generates, explains and fixes code using the attached lakehouse and runtime context.

Sources: Copilot in Fabric Data Engineering and Data Science notebooks,Fabric user data functions overview

Reusable business tools

Ask who builds and changes these tools in practice: business users or developers.

Beye

Capability:Available Evidence:Beye reported

Users give business logic a form with inputs, run it again with new values and keep the results, without rewriting the code.

Sources: Beye Fabric, tools, collective history and agents

Microsoft Copilot

Capability:Available Evidence:Vendor documented

Fabric user data functions host reusable Python functions that pipelines, notebooks, Activator rules and Power BI translytical task flows can call, each with its own REST endpoint.

Sources: Fabric user data functions overview

Oversight and agents

Revision history

Beye

Capability:Available Evidence:Beye reported

Revisions of code, forms and layouts show who changed what.

Sources: Beye Fabric, tools, collective history and agents

Microsoft Copilot

Capability:Depends on setup Evidence:Vendor documented

Fabric Git integration versions workspace items, including notebooks, user data functions, data agents and reports, in Azure DevOps or GitHub. Some item types are in preview.

Sources: Fabric Git integration: supported items

Past runs with their inputs and results

Ask each vendor what is kept for a past run, and who can see it.

Beye

Capability:Available Evidence:Beye reported

Previous runs keep their inputs, revision and results for the team to revisit.

Sources: Beye Fabric, tools, collective history and agents

Microsoft Copilot

Capability:Not verified Evidence:Sources inconclusive

The pages we reviewed do not settle whether business users can revisit a past run with its inputs and results.

Security and data controls

Beye

Capability:Available Evidence:Beye reported

SOC 2 Type II audited controls, detailed in the Beye Trust Center. Python runs in sandboxes, and revisions and runs stay inspectable.

Sources: Beye Fabric, tools, collective history and agents

Microsoft Copilot

Capability:Available Evidence:Vendor documented

Copilot and data agents query as the signed-in user, so item permissions and row-level security apply, and Cowork honors sensitivity labels. Data agents keep read-only connections. Microsoft notes that Cowork does not yet support data loss prevention.

Sources: Fabric IQ in Copilot Cowork: capabilities, limitations and prerequisites,Fabric data agent concepts

Automated agents

Beye

Capability:Coming soon Evidence:Beye reported

Agents you can trigger with an event, put on a cron schedule or run yourself, updating tables and sending email, are coming soon. They are not available today.

Sources: Beye Fabric, tools, collective history and agents

Microsoft Copilot

Capability:Depends on setup Evidence:Vendor documented

Copilot Studio agents with generative orchestration can act on event triggers, including a recurrence trigger. Available triggers depend on admin data policies, and trigger activity counts toward Copilot Credits billing.

Sources: Copilot Studio event triggers: autonomous agents and billing

003 / Trade-offs

Strengths and trade-offs

Beye

Strengths

A data fabric that connects operational systems and keeps them current, so work starts without a warehouse or semantic-model project. Sources: Beye Fabric, tools, collective history and agents
Conversational analytics that show the query and steps behind each answer. Sources: Beye Fabric, tools, collective history and agents
Sandboxed Python and reusable business tools with forms that teams can run again. Sources: Beye Fabric, tools, collective history and agents
Attributed revisions and saved runs with their inputs and results. Sources: Beye Fabric, tools, collective history and agents

Limitations

Automated agents, including email and table updates, are coming soon. They are not available today. Sources: Beye Fabric, tools, collective history and agents
Connector coverage is not exhaustive, and custom legacy sources can need additional integration work. Sources: Beye Fabric, tools, collective history and agents
Beye works in its own workspace rather than inside Microsoft 365 apps. Sources: Beye Fabric, tools, collective history and agents

Microsoft Copilot

Strengths

Answers from Power BI reports and semantic models, in Power BI and in Microsoft 365 through Copilot Cowork, with existing permissions and row-level security applied. Sources: Copilot for Power BI overview: requirements, data preparation and answers,Fabric IQ in Copilot Cowork: capabilities, limitations and prerequisites
Chains data answers into email, documents, meetings and recurring summaries in Microsoft 365. Sources: Fabric IQ in Copilot Cowork: capabilities, limitations and prerequisites
A broad Fabric platform around it: near real-time mirroring, notebooks, reusable Python functions, data agents and Git integration. Sources: What is Mirroring in Fabric?,Copilot in Fabric Data Engineering and Data Science notebooks,Fabric user data functions overview,Fabric data agent concepts,Fabric Git integration: supported items
Event- and schedule-triggered agents through Copilot Studio. Sources: Copilot Studio event triggers: autonomous agents and billing

Limitations

Copilot in Power BI needs paid Fabric (F2+) or Premium (P1+) capacity; Pro or Premium Per User licenses alone are not enough. Sources: Copilot for Power BI overview: requirements, data preparation and answers
Microsoft advises preparing the semantic model first; an unprepared model can return generic or inaccurate results. Sources: Copilot for Power BI overview: requirements, data preparation and answers
Several experiences are in preview, including the standalone Power BI Copilot and Copilot in Fabric notebooks. Cowork answers do not yet cite their source report. Sources: Copilot for Power BI overview: requirements, data preparation and answers,Copilot in Fabric Data Engineering and Data Science notebooks,Fabric IQ in Copilot Cowork: capabilities, limitations and prerequisites

004 / Bottom line

Bottom line

Choose Beye if

your data still lives in operational systems rather than prepared Power BI models, and you want one workspace that keeps it current, shows the work behind each answer and turns logic into reusable tools with a history of changes and runs, starting with what is available today while automated agents are coming soon. Sources: Beye Fabric, tools, collective history and agents

Consider Microsoft Copilot if

your data is already modeled in Power BI, you want answers inside Microsoft 365 apps, and you have a team to build and maintain the Fabric pieces around it. Sources: Copilot for Power BI overview: requirements, data preparation and answers,Fabric IQ in Copilot Cowork: capabilities, limitations and prerequisites

Questions to ask both vendors

Which of our source systems are covered today, how often will the data update, and what setup or services are needed to connect them?
Who builds and maintains the model or fabric our questions run against, and how long until the first answer runs on our live data?
Can you answer one of our questions on our own data in a live session, and show the query or steps behind the answer?
What licenses, capacity and usage-based charges does this need for the people who will use it, and what happens to cost as usage grows?
Which features we are relying on are generally available, and which are in preview or coming soon?
Who will we work with after signing, how do we reach the product team, and who owns an escalation?

005 / Sources

Sources and method

Beye wrote this page and reviewed each source on the date shown. “Not verified” means the public sources we read do not settle a point. It is not a “No”. Labels are defined in the legend above the comparison table. We have not tested Microsoft Copilot products.

Copilot for Power BI overview: requirements, data preparation and answers Microsoft Learn. Checked 2026-10-27.
Fabric IQ in Copilot Cowork: capabilities, limitations and prerequisites Microsoft Learn. Checked 2026-10-27.
Fabric data agent concepts Microsoft Learn. Checked 2026-10-27.
What is Mirroring in Fabric? Microsoft Learn. Checked 2026-10-27.
Copilot in Fabric Data Engineering and Data Science notebooks Microsoft Learn. Checked 2026-10-27.
Fabric user data functions overview Microsoft Learn. Checked 2026-10-27.
Fabric Git integration: supported items Microsoft Learn. Checked 2026-10-27.
Copilot Studio event triggers: autonomous agents and billing Microsoft Learn. Checked 2026-10-27.
Beye Fabric, tools, collective history and agents Beye. Checked 2026-10-27.

Compared with Microsoft Copilot (learn.microsoft.com). Spot something out of date or unfair? Tell us and we will check it.

006 / Your next step

Compare on your data.Bring one real workflow.

Pick a question, calculation or spreadsheet process your team depends on. Let’s explore how Beye’s Fabric, conversational analytics and reusable tools could fit the work.

Book a demo Explore the other comparisons →

The spreadsheet with all the tabs? That one. 😉