Business intelligence and data visualization in one platform
Domo is a cloud-based business intelligence platform for connecting, visualizing, and analyzing data.
AI Panel Score
6 AI reviews
Reviewed
AI Editor ApprovedApproved and published by our AI Editor-in-Chief after full panel analysis.Domo is a cloud-based business intelligence (BI) platform designed to consolidate data from disparate sources into a unified system for reporting, visualization, and analysis. It connects to over 1,000 data sources including databases, cloud applications, spreadsheets, and APIs, allowing organizations to bring together data from tools like Salesforce, Google Analytics, and various ERP systems.
The platform provides drag-and-drop dashboard creation, enabling business users to build interactive charts, graphs, and reports without writing code. More technical users can access Domo's ETL (extract, transform, load) tools, SQL-based data transformations, and data governance features for managing data quality and access controls.
Domo is positioned for mid-market to enterprise organizations across industries such as retail, finance, healthcare, and media. It is commonly used by business analysts, data teams, and executives who need real-time visibility into key performance indicators and operational metrics. The platform includes role-based access, allowing different users to see data relevant to their function.
Beyond standard BI features, Domo includes capabilities such as embedded analytics (for distributing insights to external users or customers), an app development environment called Domo Appstore, and AI/machine learning features for forecasting and anomaly detection. These additions place Domo in a broader data platform category beyond traditional standalone BI tools.
Domo competes with products such as Tableau, Microsoft Power BI, and Looker. Its differentiation has historically centered on its cloud-native architecture, mobile accessibility, and emphasis on making data accessible to non-technical business users. Pricing is not publicly listed in detail, and prospective customers are typically directed to contact sales.
Build custom AI agents that automate tasks, adapt dynamically, and can be tailored to specific use cases such as HR benefits, competitive research, retail, insurance claims, and customer support.
Embed conversational AI into content to deliver natural language conversations and personalized insights directly to end users.
Use AI services to help create workflows and generate model forecasts, lowering technical barriers to actionable insights.
Analyze data, uncover trends, and get instant answers using secure AI-powered conversational tools grounded in organizational data.
Validate, structure, and enrich data to create a reliable foundation for AI interactions and ensure trusted AI outputs.
Build interactive visualizations and dashboards that display real-time business performance data.
Automate business processes including workflow creation and model forecasting to reduce manual effort and streamline operations.
Build and share scalable data products, interactive apps, and visualizations that can be delivered to internal teams and external customers beyond Domo.
Connect to leading cloud data warehouses including Snowflake, AWS, Databricks, Google Distributed Cloud, Azure, Oracle, Microsoft, and Salesforce via a hybrid architecture.
Connect and centralize data from 1,000+ data sources into a single platform for unified analysis.
Transform and prepare data on top of existing cloud data platforms using powerful ETL tools while keeping data in its original location.
Enforce compliant and well-governed data interactions using pre-built governance frameworks, proactive alerting, and data quality controls.
Try out the Domo platform for 30 days with no credit card required.
Pay only for what you use and scale with confidence. Designed for teams ready to grow beyond the trial.
Mature BI platform with real AI ambition, but pricing opacity will frustrate procurement.
“Domo connects 1,000+ data sources into dashboards that non-technical users can actually navigate. The AI agent layer is real, but enterprise costs are a black box.”
Domo's been in market long enough to have earned its scars. The 1,000+ connector story is credible, the hybrid architecture that keeps data in Snowflake or Databricks without forcing a migration is genuinely useful, and the 30-day unlimited-user trial is a low-friction way to prove the value before legal gets involved.
The AI agent features — conversational data exploration, workflow automation, custom-built agents grounded in internal data — put them ahead of where Tableau or Power BI sit today on that layer. That's not nothing. The tradeoff is that HIPAA compliance and AWS Private Link are gated behind custom pricing, which means healthcare and financial services buyers are flying blind on total cost.
No public pricing is a board conversation I've had before. It doesn't kill the deal, but it does slow the cycle and invites comp shopping. Pilot the 30-day trial with a real use case. Don't negotiate until you've seen the renewal math.
AI chat and agent layer gives it a genuine edge over Tableau today, though Microsoft is closing fast via Copilot in Power BI.
Well-known in enterprise BI alongside Tableau and Power BI — the board won't raise an eyebrow.
Drag-and-drop dashboards and one included training session help, but no public onboarding timeline data.
AI agents and embedded analytics push this beyond cost-saving into actual capability expansion for data teams.
NYSE-listed, multi-year track record, active changelog — not a funding-dependent startup risk.
Mid-market or enterprise teams that need a non-technical-friendly BI platform and want AI agent capabilities without building from scratch.
You're already standardized on Microsoft's data stack and Power BI is close enough.
Domo's 1,000+ connectors and AI agent layer make it a serious mid-market data platform bet.
“Domo has evolved well past classic BI into a genuine data products platform with AI agents, governed data pipelines, and embedded analytics. The opaque pricing is the friction point every Head of Data will hit before signing.”
The hybrid architecture is the right call in 2024. Keeping data in Snowflake or Databricks while running ETL and dashboards on top avoids the ingestion tax that made older Domo deployments expensive — and the docs indicate query federation is supported, though the mechanics aren't fully documented publicly. That's the kind of architectural decision that signals a team that's learned from enterprise deployments.
The AI agent layer — HR Benefits, customer support, competitive research — is more developed than what Power BI currently ships. Grounding agents in organizational data with governance controls baked in is the right pattern. If you adopt this now, in three years you have an AI-augmented analytics layer with established data contracts, not a retrofit job.
The tradeoff is pricing opacity and compliance gating. HIPAA is custom-tier only, and there's no public rate card — which means every renewal is a negotiation. For a Head of Data trying to build a predictable data stack budget, that's a real planning constraint, not a minor footnote.
Sits above Tableau on the business-user accessibility axis and above Power BI on AI agent depth, but Looker still leads on semantic layer rigor for data-model-first teams.
ETL, SQL transformations, role-based access, and cloud data warehouse federation match how modern data teams actually structure their pipelines.
1,000+ connectors plus named integrations with Snowflake, Databricks, AWS, Azure, and Salesforce covers the realistic enterprise data stack without forcing migration.
Hybrid architecture reduces lock-in risk, but opaque pricing and custom-tier compliance features create vendor dependency that compounds at contract renewal.
AI agents grounded in governed organizational data, plus embedded analytics via the Domo Appstore, pushes this beyond dashboard tooling into platform territory.
Mid-market to enterprise data teams that need governed AI-augmented analytics on top of an existing cloud warehouse without ripping out their current infrastructure.
Your organization requires HIPAA compliance on a predictable budget or needs a rigorous semantic layer like Looker's LookML for complex data modeling.
No sticker price, 1,000+ connectors, and a TCO you can't model until year 2.
“Domo hides all pricing behind a sales call. Three-year TCO is genuinely unknowable from public materials.”
No published per-seat rate. No tier pricing. The pricing page lists two options: a 30-day trial and 'Custom Pricing — Free,' which means nothing without a contract. Compare to Power BI at $10/seat/month — that's $6K/year for 50 users, fully modeled before procurement opens a PO. Domo won't let you do that math.
The 1,000+ connector count is real and the hybrid architecture — queries running on Snowflake or Databricks without moving data — is a genuine cost lever. ETL egress charges elsewhere can run $5K-$15K/year at mid-market scale. If Domo eliminates that, the invisible price might pencil out. Might. HIPAA compliance is custom-tier only, so healthcare buyers add an unknown premium on top of an unknown base.
Auto-renewal terms and termination clauses aren't published. Category norm for enterprise BI is 60-day notice windows and annual commits. Assume that here. Seat creep on an uncapped usage model with a dedicated account team is a procurement risk, not a feature.
Sales-gated procurement adds cycle time and negotiation friction that Power BI or Tableau self-serve avoids entirely.
No published auto-renewal windows, cancellation terms, or termination-for-convenience clauses anywhere in public materials.
Zero published rates; 'Custom Pricing — Free' is placeholder language, not a pricing model.
AI agents and embedded analytics have measurable output potential, but without pricing, ROI math can't close.
Hybrid architecture may offset egress costs, but HIPAA add-on pricing and seat-creep risk make 3-year TCO unmodelable.
Mid-market or enterprise teams with a procurement team, a data governance mandate, and patience for a sales process.
You need to model TCO before talking to a vendor or your team is under 50 seats.
Domo's 1,000+ connectors and AI agents are real — pricing opacity is the daily tax
“Domo is a mature, cloud-native BI platform that's grown meaningfully beyond dashboards into AI agents, embedded analytics, and workflow automation. The contact-sales pricing wall means every budget conversation starts blind.”
Thirty-day free trial, full platform, unlimited users, no credit card. That's a real trial, not a sandbox. The ETL-plus-dashboard-plus-AI-agent stack in one environment is genuinely integrated — not three products duct-taped together. The 1,000+ connector count and named warehouses (Snowflake, Databricks, Azure) suggest this is built for analysts already living in fragmented data stacks.
Day three, the fights will be governance configuration and AI agent customization. The docs indicate agents are "grounded in your data," but the evidence doesn't confirm how much proprietary data wiring is self-serve versus implementation-assisted. Compared to Power BI's transparent per-seat pricing at $10-$20/user/month, Domo's opaque custom pricing creates friction before any workflow does.
Power users get SQL transformations, ETL tooling, and embedded analytics for external distribution — that's real depth. The tradeoff: HIPAA compliance and AWS private link are custom-tier only, meaning regulated-industry teams can't validate fit during the trial.
Full-platform trial removes early friction, but AI agent customization depth and governance configuration are likely the first real walls analysts hit.
Changelog and API docs are present, which signals engineering-side care; the buyer questions around connector setup times and AI agent customization remain under-answered in public docs.
Contact-only pricing and HIPAA-gated compliance create budget and compliance conversations that repeat across the buying cycle — a persistent low-grade tax.
SQL transformations, ETL tooling, embedded analytics for external users, and an Appstore environment give technical analysts real surface area beyond drag-and-drop dashboards.
Hybrid architecture docs indicate queries can run on existing Snowflake or Databricks without moving data, which is how modern data teams actually want to work.
Mid-market to enterprise analysts who need integrated ETL, BI, and AI agents without stitching three separate tools together.
You need transparent per-seat pricing or HIPAA compliance validation before engaging a sales team.
1,000+ connectors and real AI agents, but bring your enterprise budget
“Domo is a serious cloud BI platform that's grown well past dashboards into AI agents and data products. No public pricing means you're going in blind until sales calls back.”
Connecting 1,000+ data sources in one place sounds like marketing until you realize that's genuinely the hard part of BI work. Domo's hybrid architecture — where Snowflake or Databricks data stays put and Domo queries on top — is a real differentiator over something like Tableau, which wants everything in its world. The AI agents angle is newer and feels promising, though how deep the customization goes on prebuilt templates like the HR Benefits Agent isn't fully clear from their docs.
Onboarding has a 30-day free trial with unlimited users and one training session included, which is a better starting ramp than most enterprise tools offer. That said, HIPAA compliance and AWS private link are custom-tier only — so healthcare teams are immediately in sales conversations before they've seen a single dashboard.
Mobile is iOS and Android, not read-only. That matters for an executive-facing BI tool. The learning curve is real though — drag-and-drop for business users, full ETL and SQL for technical ones. Two different tools sharing a login.
Dashboard builder and AI Chat suggest thoughtful UX investment, but the dual-audience design — business users and data engineers in one UI — creates rough edges category-wide.
Drag-and-drop for non-technical users and SQL-based ETL for analysts are genuinely two different products sharing one login — month three will feel different depending on who you are.
iOS and Android listed as real platforms — for an executive BI tool that brands itself around real-time visibility, that's not an afterthought.
30-day trial with full platform access and a training session is a genuine welcome mat, but no pricing transparency means budget conversations happen before you're comfortable.
Cloud-native architecture with pre-built governance frameworks and proactive alerting signals a team that's thought about production stability, not just demos.
Mid-market to enterprise teams who need one place for data integration, dashboards, and AI-assisted analysis across a wide stack.
You're a small team wanting transparent pricing or a quick solo setup without a sales process.
1,000+ connectors, zero public pricing — classic enterprise BI playbook
“Domo is a real platform with genuine depth: 12 feature categories, cloud-native architecture, and a hybrid warehouse story that actually holds up. But the contact-sales pricing wall and murky AI agent customization limits are yellow flags worth naming.”
Three tells up front. One: no public pricing — 'custom' means you're negotiating blind against a sales team. Two: the H1 is 'Governed Data for AI Agents,' which is a pivot from the BI dashboard story they've told for a decade. Three: HIPAA compliance locked behind custom tier, not disclosed until you dig into the fine print.
The differentiation story is thinner than marketed against Power BI and Tableau. Embedded analytics and the Domo Appstore are genuine — most BI tools don't ship an app dev environment. The 1,000+ connector count is real. Hybrid architecture that leaves data in Snowflake or Databricks without forced migration is actually a strong answer to a real buyer concern.
Exit portability is the honest concern. No open format commitments visible, dashboards likely proprietary. Migrating off Domo means rebuilding. Category norm for BI platforms: painful exits. That's not unique to Domo, but it's the bet you're making.
Embedded analytics and the Appstore are real gaps vs. base Power BI; the AI agents story is early and unproven against Tableau's Einstein or Looker's Gemini integrations.
No public mention of export formats or data portability guarantees; dashboard logic is almost certainly proprietary, matching the locked-in pattern of Looker before Google acquisition.
Publicly traded, changelog confirmed active, API and docs present — but a cloud-first BI vendor without clear AI differentiation is in a tough spot as Microsoft bundles harder.
The 'AI and Data Products Platform' rebrand doesn't match a decade of BI-first positioning — pivot language, and the HIPAA-on-custom-only detail isn't surfaced prominently.
Domo went public in 2018, has survived multiple BI consolidation waves that killed smaller players — matches the pattern of durable mid-market BI vendors, not the ones that folded.
Mid-market teams that need embedded analytics or external data products and can't get that from Power BI out of the box.
You need transparent pricing, HIPAA compliance without a custom contract, or a clean exit path in 18 months.
Common questions answered by our AI research team
The 30-day free trial includes the full platform and unlimited users, along with onboarding support, self-service education, and one training session. However, HIPAA compliant environment and AWS private link are listed exclusively under the Custom Pricing tier, meaning those specific features are locked behind custom pricing.
The content describes AI agents as customizable and "tailored to your needs," and states they are "grounded in your data," suggesting they can use internal data. The AI Agent Store is mentioned as a feature, but the content does not provide specific detail on whether the pre-built templates like the HR Benefits Agent or Customer Support Agent can be fully customized with proprietary internal data beyond what is described.
HIPAA compliance is explicitly listed only under the Custom Pricing tier and is not included in the 30-day free trial. It is not available on all plans.
The content mentions that onboarding support and one training session are included with the free trial, but does not specify how long it typically takes to connect a data source or build an initial dashboard. No further detail about what the training session or onboarding support covers in terms of setup is provided.
The content states that Domo's hybrid architecture enables "seamless connections" and allows data to stay "where you want it," and references integrating "on top of your existing cloud data platform." This suggests queries can run directly on the existing cloud data warehouse without requiring data to be moved into Domo, though the content does not provide explicit technical detail on query federation mechanics.
Company
DomoFounded
2010Pricing
Contact for pricingFree Trial
AvailableDomo is a cloud-based business intelligence platform headquartered in American Fork, Utah, offering data integration, visualization, and analytics tools for business users.
