How Much Does Domo Cost? Understanding Our Pricing

One of the first questions anyone asks when evaluating a new platform is always: “What's it going to cost?” It’s a fair question, but the answer isn’t always simple.  

Many software solutions force you into rigid pricing plans that don’t really fit your needs, making you pay for features you don’t even use or user seats that just sit empty.  

At Domo, we price differently. We believe you should only pay for the value you actually get.  

In this guide, we’ll walk you through how you can think about your investment in Domo. We’ll explore general spend ranges, explain what drives costs up or down, and give you the tools to estimate what your usage might look like. Let's get started.

How much does Domo cost?

Our credit-based consumption model is flexible, transparent, and designed to grow with your business. Instead of locking you into a fixed price, we give you something that changes with you as your unique data needs evolve.  

So, how much does Domo cost? Instead of fixed pricing tiers, Domo uses a credit-based model tied to how your team actually uses the platform. As you commit to larger credit pools or longer-term contracts, your cost per credit decreases. In other words, the more you scale your usage, the more efficient your investment becomes.  

How Domo credits work

When people ask about price, they often expect to see predefined packages labeled “Small Business,” “Mid-Market,” and “Enterprise.” While we certainly work with customers of all sizes, those labels don’t really tell the whole story. Why? Because our pricing model is based on what you use, not how many employees you have or how much money you make.

Domo focuses on credits rather than dollars. Think of them as the currency you use to power your data activities within Domo. A small company with a complex, high-frequency data operation might use more credits than a huge enterprise with simpler needs.

Each customer’s contract comes with credits, and you can use them for any component of our technology.  

What drives differences in cost?

If pricing is based on how much you use, what specific activities consume credits?  

There are four things that affect cost. Understanding these will give you a clear picture of how your investment is put to work.

1. Data ingestion frequency: This is how often you bring data into Domo. For each table created or updated, you consume one credit.
2. ‍ETL transformation frequency: Once your data is in Domo, you probably want to clean, combine, or enrich it using an ELT or ETL (Extract, Transform, Load) process. Running a dataflow uses between one, two, or three credits per output table created or updated; the number of credits depends on the type of execution (i.e., Magic ETL vs MySQL; see our consumption terms for details).
3. ‍Data storage location: With Domo, you can store your data in any data warehouse. Your options include:
   • If you already have a warehouse and don’t need Domo to manage it for you, there’s no charge for data.  
   • If you don’t have a warehouse or you prefer that Domo manages your data storage, we can do so at a fractional cost: one credit per one million materialized storage rows per month and 1 credit per two million virtual storage rows per credit per month. ‍
4. AI and workflow usage: Using our AI and automation tools also consumes credits (a very small amount). Domo’s AI features are split into two tiers: Domo AI (which remain free as part of your contract) and Domo AI Pro, which are priced by consumption. Consult our model pricing guide to go deeper.  

The common thread here is that you only pay for activity. You don’t pay for the number of dashboards you build, the apps you create, or the size of your team.  

Again, for detailed information about credit usage, review our consumption terms.  

How can you estimate your costs?

Answering a few key questions will help you estimate what your usage might look like. This is the same process our own teams use to help new customers scope their requirements.

Think through the following to get a better sense of your potential credit consumption:

1. Data sources and refresh rates:
   • How many unique data sources do you plan to connect?
   • For your most critical data, how often will it be updated (e.g., daily, hourly, every 15 minutes)?
   • What about your less critical data? How often should it be refreshed? ‍
2. Data transformation and complexity:
   • How much data blending or cleaning do you anticipate? Will you be joining many data sets or tables?
   • How often will these dataflows or transformations need to run to keep your dashboards and apps current? ‍
3. Data storage strategy:
   • Where does your data live? If it’s in a CDW, who manages that warehouse?
   • What are some of the key reports they will rely on? Think about the data sources and update frequency needed for each. ‍
4. External access:
   • Do you need to provide Domo access to external companies, such as customers, partners, vendors, or subsidiaries?  

If the answer is yes, then approximately how many separate organizations? (Each active end user account needing their own instance uses 3.2877 credits per day.)  

5. Advanced features:  
   • Will users be using Domo's AI Chat features? If yes, approximately how many chat interactions per month?
   • Do you need workflow automation? If yes, how many automated tasks will run per month?  
   • Will you be doing data science work in Domo (e.g., machine learning models, advanced analytics, Jupyter notebooks, Python or R scripting)?

6. Use cases and timeline:
   • What's your primary use case? For example: Executive dashboards and reporting, operational analytics and monitoring, customer/partner data sharing, real-time decision making, or a mix of these.
   • When do you plan to go live?  
   • Do you expect significant growth in your data volume or usage in your first three years?

By completing these questions, we can start building a picture of your “day in the life” in Domo. This exercise will help you move from a vague budget to a confident, data-informed estimate of your credit needs.

Let’s talk it through

While this framework gives you a strong starting point, nothing beats a personalized conversation. Every organization has different data needs, and our team is trained to help you find the best solutions.

We encourage you to connect with one of our representatives. They can walk you through your specific use case, help you refine your cost estimates, and make sure you’re designing a solution that is both powerful and cost-effective. We’re here to help you get the most out of your data investment.

‍