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Domo vs Microsoft Fabric vs Power BI: 2026 Comparison

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Power BI alone is not a full Domo replacement. It covers dashboards and semantic modeling, but not Domo’s integrated ETL, alerts, workflows, and applications. Microsoft Fabric can match Domo’s scope, but it is priced by capacity, and moving to it is an architecture rebuild, not a dashboard conversion.

The Progress Software acquisition has pushed thousands of Domo customers into evaluations they did not plan. If your leadership is asking why you are not on Microsoft, this comparison covers what each product actually is, what Fabric really costs, and what a migration involves.

Quick Summary (TL;DR)

  • Progress Software signed an agreement on July 22, 2026 to acquire Domo’s platform business for roughly $400 million, with closing expected by November 30, 2026.
  • Progress says it will continue supporting the Domo platform, but no roadmap, pricing, or brand guarantees have been published as of July 31, 2026.
  • Power BI replaces Domo’s dashboard layer, but its native alerts, dataflows, and automation do not cover Domo’s platform scope without adding Fabric, Power Automate, or Power Apps.
  • A realistic Microsoft Fabric budget for a mid-market team runs from about $32,000 per year at the low end to $100,000 or more, before storage, overage, migration, and labor.
  • No supported tool automatically converts Magic ETL flows, Beast Modes, cards, or Domo Workflows to Fabric; a mid-market migration is an estimated 4 to 9 month rebuild.
  • BI acquisition precedents range from shutdown (Chartio) to continuity (Looker); Domo currently looks closest to the Periscope-into-Sisense absorption pattern.
  • Even teams planning to stay on Domo should run a structured market check and get renewal terms in writing before their next contract date.
  • Teams that want Domo’s all-in-one shape without operating Microsoft capacity infrastructure evaluate platforms like Knowi, which pairs cross-source analytics with a managed migration.

Table of Contents

What the Progress Acquisition Changes (and What It Does Not)

On July 22, 2026, Progress Software and Domo signed an asset purchase agreement covering substantially all of Domo’s platform business, employees, and customer relationships, for approximately $400 million. Domo’s majority stockholders have already approved the deal, and closing is expected by November 30, 2026, pending regulatory conditions. We covered the deal mechanics in detail in our breakdown of what the Domo acquisition means for customers.

Until closing, Domo operates as a separate company in the ordinary course. Progress has said it expects to continue serving Domo customers and supporting the platform, which is a directional statement rather than a contractual guarantee.

What has not been committed to

As of July 31, 2026, neither company has published renewal price caps, a product non-sunset period, guaranteed investment in Magic ETL, App Studio, Workflows, or Domo Everywhere, or a minimum period for the current brand and packaging. Individual customer contracts may also contain assignment, change-of-control, or termination provisions worth reviewing. The absence of guarantees is not evidence of bad intent, but it is exactly the gap an RFP or renewal negotiation should close.

What acquisition precedents actually show

There is no credible public data on what percentage of BI customers stay or leave after their vendor is acquired. The known precedents split three ways.

PrecedentWhat happenedCustomer outcome
Chartio and Atlassian (2021)Atlassian acquired the team and technology, then shut the hosted product down on March 1, 2022Every customer was forced to migrate within about a year
Looker and Google Cloud (2019-2020)Google kept Looker as a commercial product and integrated it into Google CloudProduct continuity with deeper ecosystem integration
Periscope Data and Sisense (2019)Periscope was rebranded as Sisense for Cloud Data Teams and folded into the portfolioContinuity through rebranding; packaging and priorities evolved

Domo is not a Chartio-style shutdown case today, because Progress has publicly committed to supporting the platform. The closest analogy is the Periscope pattern: the product moves into a larger portfolio while branding, packaging, and investment levels evolve. That is an analogy, not a forecast.

Three Products, Three Different Scopes

Most Domo-versus-Microsoft evaluations go wrong in the first meeting by comparing unlike things. The three products occupy different layers of the stack.

ProductWhat it principally isWhat that means in an evaluation
DomoAn integrated SaaS platform spanning ingestion, transformation, dashboards, alerts, workflows, applications, and embedded analyticsOne vendor, one control plane, operable by a compact analytics team
Microsoft Power BIA BI authoring, semantic modeling, and visualization layerReplaces Domo dashboards, but not the data and application layer beneath them
Microsoft FabricA capacity-priced platform combining Data Factory, OneLake, warehousing, Spark, real-time workloads, and Power BICan approximate Domo’s full scope, through a more modular architecture that needs engineering and capacity administration

Can Power BI Alone Replace Domo?

Not on its own. Power BI is an excellent visualization and semantic modeling tool, but Microsoft’s own documentation shows where the platform edges are.

Alerting. Native Power BI data alerts can only be set on gauges, KPIs, and cards pinned to dashboards, and each alert is personal to the user who created it, per Microsoft’s alert documentation. Team-wide alerting with actions requires Power Automate, which is a separate product with its own permissions model and, in many scenarios, additional licensing.

Data preparation. Power Query and dataflows handle real transformation work, but Microsoft places advanced dataflows in Premium tiers and increasingly directs enterprise data engineering into Fabric Data Factory and Dataflow Gen2. Replacing Magic ETL and SQL DataFlows at platform scale generally means adopting Fabric, not just Power BI.

Applications and workflows. Domo’s App Studio, forms, and Workflows have no direct Power BI equivalent; the Microsoft answer is Power Apps and Power Automate, each another product to license and operate. Embedded analytics likewise requires dedicated A or F capacity plus an application build. For the wider field beyond Microsoft, see our Power BI alternatives comparison.

Forced into a BI evaluation you did not plan? Knowi migrates Domo estates, Magic ETL flows and all, as part of onboarding. See how the migration works.

What Microsoft Fabric Really Costs

Fabric is sold as pooled compute called Capacity Units, in SKUs from F2 to F2048, shared across all workloads. Reserved one-year pricing runs about 41 percent below always-on pay-as-you-go, per Microsoft’s published Fabric pricing. US list prices at the commonly evaluated SKUs:

SKUCapacity unitsPAYG per month (always on)Reserved per monthReserved annual
F22$263$156$1,876
F1616$2,102$1,251$15,008
F3232$4,205$2,501$30,016
F6464$8,410$5,003$60,032
F128128$16,819$10,005$120,064

Capacity is not the whole bill. OneLake storage is metered separately, overage is billed at pay-as-you-go rates without the reservation discount, and gateways, Power Automate, Power Apps, and per-user licenses stack on top.

The F64 licensing threshold

Below F64, report viewers generally need Power BI Pro at $14 per user per month; at F64 and above, viewers are free and only publishers need Pro. We ran the arithmetic on Microsoft’s list prices: reserved F64 becomes cheaper than reserved F32 plus Pro for every viewer at roughly 180 otherwise unlicensed viewers. That is arithmetic, not a Microsoft sizing rule, but it explains why many mid-market quotes jump straight to F64.

Illustrative deploymentCapacity (annual)User licenses (annual)Approximate software floor
100 users on reserved F16$15,008$16,800$31,808
250 users on reserved F32$30,016$42,000$72,016
25 authors, 225 viewers on reserved F64$60,032$4,200$64,232
Same F64 deployment, always-on PAYG$100,915$4,200$105,115

These floors exclude storage, overage, Spark autoscale, migration services, and internal labor. First-year labor can exceed the software bill.

Why Fabric costs are hard to predict

Fabric smooths compute over time, so a heavy background job can consume future capacity and delay other workloads until usage falls back under the threshold. Microsoft has added surge protection and paid overage precisely because fixed capacity otherwise throttles. Verified reviewers on G2 and Gartner Peer Insights describe the capacity model as confusing and difficult to explain to procurement; these are individual experiences rather than surveys, but they match Microsoft’s own advice to size by testing real workloads. The fair conclusion: Fabric costs are predictable only after workload characterization and ongoing capacity administration, an operational discipline Domo’s application-centric model never asked of its admins.

What a Domo-to-Fabric Migration Involves

As of July 31, 2026, we could find no Microsoft- or Domo-supported utility that converts Magic ETL flows, Beast Modes, cards, App Studio apps, alerts, or Workflows into native Fabric artifacts. Consultancy guidance consistently describes translation and rebuilding, and Microsoft advises modernizing rather than copying even when moving its own Dataflow Gen1 workloads to Gen2.

What has to be rebuilt

Domo artifactLikely Microsoft targetMigration work
Connectors and Workbench jobsFabric Data Factory pipelines and gatewaysRecreate credentials, schedules, incremental logic, error handling
Magic ETLDataflow Gen2, SQL, or notebooksRe-express and validate every transformation
Beast ModesDAX measures or Power Query logicDecide where each calculation lives; validate filter context
Cards and dashboardsPower BI reports and appsRebuild visuals, interactions, drill paths, subscriptions
Alerts and WorkflowsActivator, Power Automate, Logic AppsRebuild conditions, recipients, approvals, monitoring
App Studio and Domo EverywherePower Apps and Power BI EmbeddedRedesign applications; rebuild embedding, tenant isolation, capacity sizing

The team doing this work needs Power Query, SQL and dimensional modeling, DAX, Azure and capacity administration, Entra security design, and often Power Platform development. That is a broader skill set than Power BI authoring, and broader than most Domo teams carry today.

Realistic timelines

EstateIndicative timelineAssumptions
Proof of concept4 to 8 weeksA few sources, three to five dashboards
Small production estate2 to 4 monthsUnder 25 dashboards, limited workflows
Mid-market Domo estate4 to 9 months80 to 150 dashboards, 20 to 50 dataflows, security redesign
Complex enterprise estate9 to 18+ monthsHundreds of dashboards, App Studio apps, embedded analytics

The mid-market and enterprise ranges are analytical estimates, not vendor benchmarks; no organization should plan without an artifact inventory first. Our Domo migration guide walks through that inventory phase in detail.

Domo vs Microsoft Fabric vs Power BI: Head-to-Head

AreaDomoMicrosoft FabricPower BI alone
Data ingestionBroad built-in connector catalog with centralized credentials and schedulesData Factory pipelines, gateways, shortcuts, mirroringConnectors and Power Query, without the full engineering and orchestration layer
TransformationMagic ETL and SQL DataFlows, accessible to analystsDataflow Gen2, SQL, Spark, notebooksPower Query; advanced scale pushes into Fabric or Premium
AlertingIntegrated dataset and card alerts that can trigger workflowsPower BI alerts plus Activator and Power AutomateNative alerts limited to gauges, KPIs, and cards, personal to their creator
Apps and workflowsApp Studio, forms, and Workflows inside the platformPower Apps, Power Automate, Fabric databasesReport packaging only; operational apps need adjacent products
Embedded analyticsDomo EverywherePower BI Embedded on F capacityPower BI Embedded on A or F capacity, plus an application build
Pricing modelCredit and consumption based; enterprise rates negotiatedCapacity plus storage, overage, and per-user licensesPer-user licenses, or capacity for embedding
AdministrationOne application control planeAzure, Fabric tenant, capacities, OneLake, gateways, Entra, Power PlatformSimpler than Fabric, but still tenant, workspace, and license administration
Migration effort from DomoNot applicableFull architecture rebuild, estimated 4 to 9 months mid-marketDashboard rebuild only; the data and workflow layers still need a home

Review platforms rate the incumbents closely: Gartner Peer Insights currently shows Domo around 4.5 stars across roughly 489 reviews and Power BI around 4.4 across more than 3,200, samples too uneven to declare product superiority either way.

Questions to Get in Writing Before You Renew

An evaluation is rational even if you intend to stay on Domo; it prices your alternatives and strengthens your renewal position. Before your next contract date, request written answers on:

  • Which Progress entity becomes your legal counterparty, and whether your consent is required for assignment.
  • Whether credit rates, minimum commitments, and support charges hold through the current term and the next renewal.
  • What minimum support and development period applies to Magic ETL, App Studio, Workflows, Domo Everywhere, and your specific connectors.
  • Whether hosting regions, subprocessors, and data-processing terms change at closing.
  • What export APIs, metadata exports, and professional services are available if you later transition.
  • Whether your contract’s change-of-control language creates termination or renegotiation rights right now.

The most common evaluation mistake is comparing Domo’s entire estate against Power BI Pro licenses alone. The honest Microsoft comparison is Fabric capacity plus Pro licenses plus storage plus Power Automate and Power Apps plus migration services and ongoing capacity administration.

Where Knowi Fits

There is a third pattern worth pricing before committing to a rebuild: keeping Domo’s all-in-one shape on a platform designed that way. Knowi combines ingestion, transformation, dashboards, alerts, and AI agents in one platform, queries SQL and NoSQL sources directly without ETL pipelines, and its team runs Domo migrations, Magic ETL flows and Beast Modes included, as part of onboarding rather than as a consulting project. Flat platform pricing replaces the capacity-sizing exercise entirely.

The honest scoping: a committed Microsoft shop with E5 licensing, Azure commitments, and a data engineering bench may find Fabric the rational default. Knowi fits best for mid-market teams that chose Domo precisely because one compact team could run the whole stack, and want to keep that property. See the full Knowi vs Domo comparison, or the wider field in our best Domo alternatives roundup.

TRY KNOWI

Agentic Analytics for Any Data. Migration Included.

Knowi keeps the all-in-one shape you chose Domo for: one platform for ingestion, transformation, dashboards, alerts, and AI-powered insights. It connects directly to databases, warehouses, APIs, and documents, combines results without ETL, and our team moves your Magic ETL flows, Beast Modes, and dashboards with you as part of onboarding, not as a consulting project.

What you can do with Knowi:

  • Connect SQL, NoSQL, REST APIs, and cloud data warehouses in one platform.
  • Build dashboards without moving data into a separate warehouse.
  • Ask questions in natural language and get answers backed by the underlying query.
  • Embed dashboards, AI assistants, and analytics directly into your application.
  • Set alerts on your data that trigger reports and workflows, no separate automation product.
  • Keep sensitive data private with cloud, hybrid, or self-hosted deployment options.

Used by SaaS, healthcare, manufacturing, IoT, and enterprise teams that need analytics across multiple data sources without the complexity of traditional BI stacks.

Request a Demo → No ETL Required Native NoSQL Flat Platform Pricing On-prem deployment available

Frequently Asked Questions

Is Power BI by itself enough to replace Domo?

No. Power BI replaces Domo’s dashboard and semantic modeling layer, but Domo’s ETL, platform alerts, workflows, and applications require Fabric, Power Automate, and Power Apps to reproduce. Comparing Domo’s full estate to Power BI Pro licenses alone understates the real Microsoft cost.

How much does Microsoft Fabric cost per year for a mid-market team?

At US list prices, roughly $32,000 per year for an F16 capacity with 100 Pro users, $60,000 to $75,000 for a 250-user reserved deployment, and $100,000 or more if an F64 capacity runs always-on pay-as-you-go. Those floors exclude OneLake storage, overage, migration, and labor.

Can Magic ETL flows and Beast Modes be converted to Fabric automatically?

No supported automated converter existed as of July 31, 2026. Magic ETL logic has to be re-expressed in Dataflow Gen2, SQL, or notebooks, and Beast Modes rebuilt as DAX measures or query transformations, then validated against the originals.

Will Progress Software keep supporting Domo after the acquisition?

Progress has publicly said it expects to continue serving Domo customers and supporting the platform. As of July 31, 2026, that commitment is directional: no renewal price caps, roadmap guarantees, or product non-sunset periods have been published.

How long does a migration from Domo to Microsoft Fabric take?

A proof of concept takes 4 to 8 weeks, while a mid-market estate of 80 to 150 dashboards is an estimated 4 to 9 month rebuild covering pipelines, semantic models, reports, security, and alerts. Complex estates with App Studio apps and embedded analytics can run 9 to 18 months or longer.

How does Knowi compare to Domo and Microsoft Fabric?

Knowi keeps Domo’s all-in-one shape, one platform for ingestion, transformation, dashboards, and alerts, while adding direct SQL and NoSQL querying without ETL and AI agents that work inside the data layer. It fits mid-market teams that want that integrated model without Fabric’s capacity administration, while committed Microsoft shops may still prefer Fabric.

Sanskriti Garg

Sanskriti Garg

Sanskriti Garg is the Marketing Manager at Knowi, where she leads all marketing initiatives for the company. She oversees positioning, messaging, go-to-market strategy, and campaigns that help Knowi reach businesses looking to unify, analyze, and act on their data with powerful AI analytics. Sanskriti brings over 10+ years of marketing experience, with a strong consumer-focused mindset and storytelling skills. Her expertise spans marketing, demand generation, AI, and analytics, and she’s passionate about making advanced analytics accessible and impactful for organizations of all sizes.

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