Domo acquired by Progress Software: what it means and the best alternatives in 2026
Max Musing
Max MusingFounder and CEO of Basedash
· September 23, 2026

Max Musing
Max MusingFounder and CEO of Basedash
· September 23, 2026

Domo is no longer an independent company. On September 22, 2026, Progress Software completed its $400 million acquisition of substantially all of Domo’s business, including the platform, the team, the customer contracts, and the Domo brand. The product isn’t being shut down, and Progress has said it will keep serving Domo customers. But ownership, roadmap, and pricing decisions now sit with a new parent company, and that has a lot of Domo customers asking whether they should stay, wait, or start planning a move.
This post covers what happened, what is and isn’t known about Domo’s future, how to decide whether to migrate, and the alternatives worth evaluating. We build Basedash, so we have an obvious interest here. We’ll be upfront about where Domo is still a reasonable choice and where other tools fit better.
Here’s the timeline:
A few details matter for customers:
No. When the deal was announced, Domo said that Progress “expects to continue serving Domo customers and supporting the Domo technology platform.” In its post announcing the close, Progress described Domo as strengthening its data platform and AI strategy. Your dashboards, DataSets, and scheduled reports keep working, and your contract carries over to Progress.
This is a different situation from the analytics tools that actually shut down, like Chartio, DataGPT, or the hosted version of Redash. Nothing is forcing you off Domo on a deadline. The question is whether the platform you renew in a year or two will look like the one you bought.
Acquisitions don’t automatically make a product worse. Some acquired products get more investment than they had before. But several parts of this deal leave open questions for customers:
None of this means you need to leave Domo tomorrow. It does mean your next renewal is the right time to find out what the alternatives would cost you in money and effort.
The answer depends mostly on your contract date and how deeply you’ve built on Domo-specific features.
Stay on Domo for now if:
Start evaluating alternatives if:
Plan a migration if:
For most teams in the middle group, a short parallel pilot is the lowest-risk option. Rebuild your three or four most important Domo pages in an alternative, compare the numbers and the cost, and decide with real data before the renewal deadline.
Domo’s pitch was that one vendor handled everything: connectors, storage, ETL, BI, alerts, and embedding. Most Domo alternatives only replace the dashboard layer, and that affects how much work a migration takes. Judge replacements on these criteria:
Basedash is the closest match to Domo’s scope, because it covers the whole data stack, not just the dashboards on top of it. That means you can replace Domo with one platform instead of assembling four vendors.
Here’s how it maps to what Domo did for you:
Pricing is published: the Startup plan is $1,000 per month plus AI usage for up to 25 users, with a 14-day free trial and no credit card required. The Enterprise plan adds custom seat counts, SSO, embedding, self-hosting, and dedicated support.
Where Domo still has an edge: App Studio for building custom data apps, native mobile apps, and a longer track record in large enterprises. If App Studio apps are central to how your company operates, plan how you’d replace them before you commit to any migration.
Best for: Domo customers who want to replace the entire platform in one move, and teams that want AI-native BI with pricing they can forecast. For a feature-by-feature breakdown, see Basedash vs Domo.
Power BI on its own replaces only Domo’s dashboard layer, but combined with Microsoft Fabric (Data Factory for ingestion, OneLake for storage, and dataflows and notebooks for transformation) Microsoft offers something close to an all-in-one stack. Power BI Pro runs about $14 per user per month and Premium Per User about $24, with Fabric capacity priced separately.
The tradeoff is ecosystem commitment. Fabric works best when your company already runs on Azure, Microsoft 365, and Teams. DAX has a steep learning curve, and Copilot works best on well-built semantic models.
Best for: Microsoft-centric enterprises that are willing to standardize on Fabric. See Domo vs Power BI.
Tableau remains the standard for sophisticated, presentation-grade visualizations, and Tableau Prep, Pulse, and Tableau Agent add data prep, proactive insights, and AI assistance. It’s owned by Salesforce, which gives it long-term backing and strong CRM integration.
Tableau doesn’t replace Domo’s ingestion or storage, so you’ll need a warehouse and ELT tool underneath. Costs grow quickly with Creator licenses at around $75 per user per month.
Best for: analyst-led teams where visualization craft matters more than an all-in-one platform. See Domo vs Tableau.
Sigma gives finance and operations teams a spreadsheet-style interface that runs live on Snowflake, BigQuery, Databricks, or Redshift. For Domo customers that used Cloud Amplifier to keep data in their own warehouse, Sigma can be a natural landing spot.
Sigma doesn’t include ingestion or storage, and pricing is sales-led. If you don’t already operate a warehouse, you’ll need to set one up first.
Best for: spreadsheet-heavy teams with a mature cloud warehouse. See Domo vs Sigma.
Looker’s LookML semantic layer is still the reference point for governed, version-controlled metrics, and its Gemini integration and BigQuery alignment make it a natural fit for Google Cloud companies.
Moving Domo’s Magic ETL and Beast Mode logic into LookML takes real analytics engineering work, and Looker doesn’t handle ingestion. Pricing is custom and generally high.
Best for: Google Cloud teams with analytics engineers who want metrics defined in code. See Domo vs Looker.
ThoughtSpot’s search interface and Spotter AI agent give business users a conversational way to explore governed data, and it also owns Mode for analyst-led SQL work.
It expects a well-modeled warehouse to deliver good answers and doesn’t replace ingestion or storage. Pricing is enterprise-oriented.
Best for: large enterprises with data teams that want search-driven self-service. See Domo vs ThoughtSpot.
Metabase’s open-source edition is free to self-host, and Metabase Cloud starts at $100 per month. For small teams that used Domo mainly for a handful of internal dashboards, it’s the cheapest practical landing spot.
It doesn’t include ingestion, storage, or enterprise-grade governance, and its AI features are basic compared with purpose-built tools.
Best for: small, cost-conscious teams comfortable operating their own stack. See Domo vs Metabase.
| Tool | Domo layers it replaces | AI experience | Pricing model | Best for |
|---|---|---|---|---|
| Basedash | Connectors, storage, modeling, governance, BI, alerts, embedding | Primary interface, with SQL shown | Published: $1,000/month + AI usage | Full-stack Domo replacement |
| Power BI + Fabric | Most of the stack, inside Microsoft | Copilot | Per user plus Fabric capacity | Microsoft-centric enterprises |
| Tableau | BI and light data prep | Tableau Agent and Pulse | ~$15–75/user/month | Visualization-led teams |
| Sigma | BI on your warehouse | AI assistance | Sales-led | Spreadsheet-fluent teams |
| Looker | BI and semantic layer | Gemini | Custom | Google Cloud teams |
| ThoughtSpot | BI and search | Spotter | Custom (enterprise) | Large enterprises |
| Metabase | BI | Basic | Free / Cloud from $100/month | Small budgets |
For a longer breakdown, see our guide to Domo alternatives.
A Domo migration is mostly a mapping exercise. Here’s how each Domo concept translates:
| Domo | Basedash |
|---|---|
| Connectors and Workbench | Fivetran-powered connectors and direct database connections |
| Domo-hosted DataSets | Basedash Warehouse, or your own warehouse |
| Cloud Amplifier | Direct connection to Snowflake, BigQuery, Databricks, or Redshift |
| Magic ETL and SQL dataflows | Basedash Models (SQL transformations) |
| Beast Mode calculations | Measures and segments in Basedash Models |
| Personalized data permissions (PDP) | Row-level security |
| Cards and pages | Charts and dashboards, created from prompts or SQL |
| Alerts and scheduled reports | Automations delivered to Slack and email |
| Domo Everywhere | Embedded analytics |
| Domo.AI and the Domo MCP Server | AI data analyst and the Basedash MCP server |
A typical migration follows these steps:
You can start a free trial and connect your first sources in minutes to see how your own data looks before committing to a migration plan.
Domo isn’t going away, but it now belongs to a company whose plans for the product haven’t been published yet. For some customers, that’s a reason to wait and see. For many others, especially those already unhappy with Domo’s pricing or facing a renewal soon, it’s a good reason to find out what switching would take.
If you’re evaluating a move, look past the dashboard layer. Domo replaced a whole stack, and the easiest migration is to a platform that does the same. Basedash gives you a managed warehouse, 750+ connectors, a semantic modeling layer, enterprise governance, and AI-native BI in one product with pricing you can plan around.
Progress Software, the Burlington, Massachusetts infrastructure and AI software company (Nasdaq: PRGS), acquired substantially all of Domo’s assets for $400 million in cash. The agreement was announced on July 22, 2026 and the deal closed on September 22, 2026. Progress acquired the Domo platform, employees, customer contracts, intellectual property, and brand, and is making Domo part of its Progress Data Platform portfolio alongside earlier acquisitions like MarkLogic and Nuclia.
Progress hasn’t announced pricing or packaging changes yet, and existing contracts carry over. But Progress told investors that about 86% of Domo’s recurring revenue comes from consumption-based pricing, and it expects cost synergies from the deal by the end of its 2027 fiscal year, so packaging changes at renewal are possible. Before renewing, ask your account team for written commitments on price caps, support levels, and the product roadmap, and compare that against a quote from an alternative.
It depends on your renewal date and how much you rely on Domo-specific features. If your contract has more than a year left and you depend on App Studio or Domo.AI agents, waiting for Progress to publish its roadmap is reasonable. If your renewal is within six to twelve months, or you were already unhappy with pricing, start a parallel pilot now so you can make the decision with real data instead of under deadline pressure.
Start by inventorying the Domo pages, cards, and DataSets your teams actually use. Then connect the same sources in Basedash through its Fivetran-powered connectors or direct database connections, export any data that only exists in Domo, and rebuild Magic ETL dataflows and Beast Mode calculations as Basedash Models. Recreate PDP policies as row-level security, rebuild your key dashboards from prompts, move alerts to automations, and run both platforms in parallel before cutting over.
They don’t transfer automatically, because both are proprietary to Domo. Treat them as specifications: document what each important dataflow and calculation does, then rebuild it in your new platform’s modeling layer. In Basedash, dataflows become SQL-based Models, and Beast Mode formulas become reusable measures and segments. Most teams find that only a fraction of their dataflows are still in active use, which makes this step smaller than it first looks.
Not in the way it used to be. Domo, Inc., the Delaware holding company that traded as DOMO on Nasdaq, sold its operating business to Progress Software. It keeps its cash and net operating loss carryforwards and remains a separate listed company under a new name and ticker, led by founder Josh James. The Domo product, brand, employees, and customer contracts now belong to Progress Software.
Written by

Founder and CEO of Basedash
Max Musing is the founder and CEO of Basedash, an AI-native business intelligence platform designed to help teams explore analytics and build dashboards without writing SQL. His work focuses on applying large language models to structured data systems, improving query reliability, and building governed analytics workflows for production environments.
Basedash lets you build charts, dashboards, and reports in seconds using all your data.