Domo pricing in 2026: plans, add-on costs, and what you’ll actually pay

Say you’ve just gotten off a call with a Domo rep, or a quote landed in your inbox that looks nothing like anything on their website. You’re not imagining it. Domo doesn’t publish prices because almost nobody pays the same amount.

Here’s why.

Domo includes items like data collection, storage, and dashboarding into a single platform, and it is replacing separate ETL pipelines and BI tools. Instead of charging per seat, it sells you a pool of annual credits and lets every team draw from it.

Your final bill will depend on usage, not on headcount: how often data refreshes, how many automated workflows fire, and how much storage your team leaves active in the background.

We have broken down the pricing logic of Domo, covering topics including how Domo’s pricing structure actually works, where costs climb faster than most teams expect, and when teams start looking at alternatives like Hevo for steadier scaling

Domo pricing at a glance

Deployment size	Typical annual cost	Core inclusions & operational focus
Small teams (10-25 users)	$30,000 – $75,000	Minimum floor deployment. Best for basic dashboards, light user access, and minimal data refreshes.
Mid-market (50-100 users)	$80,000 – $250,000	Most common entry point. Includes active data pipelining, multiple connectors, and automated scheduled reports.
Enterprise / government (100+ users)	$250,000 – $600,000+	Built for large-scale governance, dedicated support, and specialized integrations such as HIPAA and AWS Private Link.
Trial / evaluation	$0 (30 days)	Full access to the platform so you can benchmark your own credit footprint before buying.

How Domo’s pricing structure actually works

Domo runs on a consumption model. You buy an annual pool of credits, and every team draws from that same pool based on how much of Domo’s ETL architecture they actually use.

Credits get consumed based on total platform activity such as how often you refresh data, how many transformation workflows run, how much AI processing you request, and how much you store. 

The categories that consume the credit the most are –

• The cloud warehouse connections and data storage footprint
• Dataset ingestion, including real-time updates and modifications
• Magic ETL runs and automated workflow scripts
• Custom app building and AI-powered processing tasks

In a single busy month, a new dashboard or an aggressive sync schedule can burn through months of budgeted credits which makes the forecasting harder as Pipelines multiply.

Domo pricing plans explained for 2026

Plan type	Estimated annual cost	Ideal use case	What’s included
Free edition	$0 (30-day evaluation)	Initial benchmarking and testing	Full platform access, unlimited users, basic onboarding support, one training session.
Paid consumption plan	$30,000 to $600,000+ (custom contract)	All production environments, varying by business scale	Custom credit pools, standard connector library, custom app building, cost controls.

Domo free edition

Who this plan is for – This is for small teams or solo analysts who want to test the platform without risks, and can connect a first pipeline along with a build trial dashboards, and see roughly how many credits a real workload burns each month.

Base price: $0 for 30 days. No credit card required.

What’s included: full administrative access to Domo’s data and analytics tools, hundreds of pre-built connectors, self-guided onboarding tutorials, and unlimited view-only users.

Where this plan starts breaking down – The trial given will be cut off at 30th day, then the dashboards disappear unless you convert it to a paid contract immediately. There will be no dedicated support line if something breaks during the test. Domo wipes trial environments on a fixed schedule, so production workflows aren’t realistic here.

Domo paid consumption plan

Who this plan is for – mid-market and enterprise teams that need multi-source pipelining, governance controls, and custom app building, and want every employee to have dashboard access without paying per seat.

Base price – starts at $30,000 a year, scaling with the size of your credit pool.

What’s included – dedicated credit allocations for background queries and Magic ETL transformations, row-level security, prioritized support, and unlimited user seats built in.

Where this plan starts breaking down – The pipelines can be not very efficient when compared on hourly sync schedules. It can drain a year’s credit pool in months. When that happens, overage fees and mid-year contract renegotiations carry premium pricing, which makes budget planning painful for growing teams.

What actually drives your monthly cost on Domo

If you map your ETL requirements before you sign, that gives you these things like the refresh frequency, transformation load, and expected volume. These matters because Domo prices around these are variable.

1. Data ingestion frequency

How often you pull data can make a big difference to your credit use. A live connection keeps pulling data throughout the day. An hourly refresh can also use credits much faster than a daily sync. If your dashboards need data almost in real time, you may use up your credits sooner than expected.

2. Magic ETL pipeline runs

Magic ETL uses credits whenever it processes your data. The more often a pipeline runs, the more credits it can use. This can become a problem when a pipeline runs several times a day. Credit use can grow without the team noticing it right away.

3. Data storage and duplication

Domo keeps a copy of your data in its cloud. The more data you keep there, the more storage you need. Old data can also take up a lot of space if you keep it for years. Keeping only the data you need can help keep this under control.

4. AI and advanced tools

AI features can use more credits than regular data tasks. This can happen when you run AI queries often. In a similar way, tasks such as forecasting and other advanced data work. Using these features regularly can make your credits run out much faster.

5. Weak controls

The spend on the credit will grow if we didn’t set clear limits. For example, someone may run a pipeline several times while testing it. They may not realize how many credits it is using. These small costs can add up over time and may only become clear when the bill is reviewed.

Domo pricing vs alternatives

Domo isn’t the only data integration tool option built for scale. Here’s how its starting price and core strength compare to three ETL alternatives.

Platform	Starting price	Key strength	Best for
Domo	$30,000/year (custom annual credit pools; free 30-day trial)	Full-stack ingestion, processing (Magic ETL), and native dashboarding with unlimited user seats.	Mid-to-large enterprises wanting an all-in-one data application without stitching together a disjointed stack.
Hevo	Free up to 1M Events/month;  Starter starts at $265/month for up to 50M Events; Professional starts at $750/month for up to 100M Events; Business Critical offers fixed pricing for unlimited data volume, with custom pricing.	Cost-effective, no-code data integration with event-based pricing at lower volumes and fixed pricing for unlimited data volume at the Business Critical level.	Small-to-midmarket teams that need predictable, managed data integration, with an option to move to fixed, unlimited-volume pricing as data volumes grow.
Fivetran	$0/month (free tier, 500K MAR); usage-based, $5/month base connection minimum	700+ connectors with stable, low-maintenance pipelines.	Businesses seeking stable, highly managed cloud-SaaS batch replication from complex enterprise apps.
Estuary	$0/month (free tier, 10GB/month); $100/month plus $1.50/GB	Ultra-low latency streaming (under 100ms) with millisecond CDC and exactly-once delivery.	Engineers building continuous, high-volume real-time pipelines or real-time AI and operations apps.

Where Domo pricing falls short as you scale

1. Inefficient pipeline costs

As teams grow, they tend to add more pipelines. Some of these may do the same work or run more often than needed. This wastes credits, and teams may run out of their prepaid balance before the contract ends. They then have to pay extra, which can make it harder to plan their budget.

2. The cost of frequent data refreshes

Domo charges for table updates. If your team refreshes data every hour or needs live dashboards, then these costs will add up. This can be a cost issue for teams that need newly added data, especially when using a tool that charges for each update rather than a fixed fee per user.

3. Storage costs for old data

Domo stores data in its own cloud. If you keep years of old records or large tables that you rarely use, storage costs can increase. You may be paying to keep data that your team no longer needs on a regular basis. Moving older records to another storage system can help reduce these costs.

4. Extra setup costs

Setting up Domo for a large team is not always simple. Some companies need outside experts to get everything up and running. This can take 40 to 200 hours and cost thousands of dollars. These expenses are separate from the regular software cost, so they can increase the total budget.

5. Higher costs from advanced features

Using Domo for basic dashboards is different from using its advanced features. These features which can use credits much faster, include AI tools, predictive models, and governance features. If several teams rely on them regularly, credit use can rise quickly and push up the overall cost.

How Hevo approaches pricing differently

Hevo uses two pricing models based on data volume. Starter and Professional use event-based pricing, while Business Critical offers fixed pricing for unlimited data volume. An Event represents a fundamental unit of data moved from a source to a destination, such as a row replicated from a database into a data warehouse.

Starter supports up to 50 million Events per month, while Professional supports up to 100 million Events per month. For teams with higher and growing data volumes, Business Critical moves to a fixed-price model with unlimited data volume, so the cost does not automatically increase as more Events move through the pipelines.

That’s because the two tools solve different problems. Hevo runs ETL as a service to move data into a warehouse you already own, while Domo combines ingestion, storage, transformation, and dashboards into one contract priced around usage across the platform. 

Core pricing differences

Feature	Hevo Data pricing	Domo pricing
Billing frequency	Transparent monthly or annual SaaS billing.	Upfront annual custom enterprise contracts.
Primary pricing metric	Starter and Professional: event-based pricing tied to monthly data volume. Business Critical: fixed pricing with unlimited data volume.	Activity-based: credits burned by updates, scripts, and processing.
Starting cost	Free up to 1M Events/month;  Starter starts at $265/month for up to 50M Events; Professional starts at $750/month for up to 100M Events;  Business Critical is custom with unlimited data volume.	$30,000/year contract minimum.
Data transformations	dbt integrations, and transformation models are included in paid tiers.	Charges credits per Magic ETL dataflow run.
Setup & support overhead	No-code setup; standard live support included in paid tiers.	Upfront professional services fees, often $20,000 to $100,000.

Domo vs Hevo: Which is the better fit?

Choosing between Hevo vs Domo comes down to workflow complexity, pricing predictability, and available engineering resources.

Criteria	Domo	Hevo Data
Pricing structure	Action-based consumption model using pre-purchased annual credit pools, consumed via table updates and pipeline runs rather than user counts.	Two pricing models: Starter and Professional use event-based pricing based on monthly data volume, while Business Critical offers fixed pricing for unlimited data volume.
Scaling predictability	Low to moderate. Workflow growth, unoptimized script loops, or shifting sync frequencies can trigger mid-contract credit overages.	High. Starter supports up to 50M Events/month and Professional up to 100M Events/month. Business Critical uses fixed pricing with unlimited data volume, so higher volumes don’t automatically increase the bill.
Infrastructure management	All-in-one, including managed storage (Cloud Vault), data virtualization, and a full visualization frontend.	Pipeline-only. You bring and maintain your own destination warehouse (Snowflake, BigQuery) and BI tool.
Collaboration support	Extensive: shared workspaces, mobile apps, writeback alerts, and unlimited view-only dashboards for cross-departmental use.	Minimal. Built as an engineering utility; collaboration is largely admin seats monitoring uptime and schema health.
Workflow complexity	High and end-to-end: multi-source ingestion, Magic ETL, low-code app building, and native machine learning tools.	Focused: visual, no-code replication. Advanced modeling usually means integrating an external tool like dbt.
Cost visibility	Abstract. Admins must track credit consumption across datasets and backend computations.	Transparent. Lower-volume plans are tied to monthly Event usage, while Business Critical provides fixed pricing for unlimited data volume.
Best fit	Mid-to-large enterprises want an all-inclusive data application environment.	Data teams want managed, no-code data integration with event-based pricing at lower volumes and predictable fixed pricing when data volumes exceed 100M Events/month.

When Domo makes sense (and when Hevo is a better choice)

When Domo makes sense

• You need an all-in-one data stack – your organization doesn’t want separate contracts for ingestion, a warehouse, and a BI tool.
• With a massive user base  you want to share real-time dashboards with hundreds of employees without extra per-seat fees.
• You build custom data applications: your team needs low-code internal portals or alerting systems on top of live pipelines.
• Business users handle data cleaning: non-technical staff need to blend datasets safely with a drag-and-drop interface like Magic ETL.
• You require executive-ready mobile BI: leadership needs responsive, fully integrated mobile dashboards with little added configuration.

When Hevo is a better choice

• You already own a data warehouse, your team has Snowflake, BigQuery, or Redshift running, and just needs a replication pipeline.
• You prioritize predictable pricing: Hevo offers event-based pricing on Starter and Professional, with a fixed-price and Business Critical plan for unlimited data volume. 
• You want free data transformations: you’d rather run dbt or Hevo’s own models without a per-execution penalty.
• The team is engineering-focused, so the goal is to move data cleanly into your infrastructure, not building business-facing dashboards.
• You have a tight starting budget: Hevo offers a free tier for up to 1M Events/month, followed by Starter and Professional plans based on monthly Event volume.

Frequently asked questions about Domo pricing