Sisense is built for developers embedding analytics directly into products, offering deep customization for teams with the engineering resources to use it, while Domo is a more user-friendly platform aimed at in-house data teams doing everyday data preparation, analysis, and visualization. The two serve genuinely different use cases, and picking the wrong one usually comes down to underestimating how much engineering effort your team is actually willing to put in.
we’ll break down how these platforms differ so you can figure out which one actually matches your team’s needs and resources.
What Sisense Actually Is
Sisense is an embedded analytics platform built with developers in mind, designed to help teams embed charts, dashboards, and analytics directly into their own products and applications. It’s a strong option for SaaS companies that want to offer analytics as a feature inside their own product rather than as a separate, standalone reporting tool.
What Domo Actually Is
Domo is built more for internal, in-house use. It’s aimed at business and data teams who need to prepare, analyze, and visualize data without necessarily having deep engineering resources behind them. Domo tends to prioritize ease of use and a more self-service experience over the deep code-level customization Sisense offers.
Embedded Analytics: Sisense’s Core Strength
If your goal is embedding analytics into a customer-facing product, Sisense is generally the stronger choice. It’s specifically built for that use case, though it does require real engineering investment to build and maintain those embedded experiences well. Sisense also has fairly limited customization of visualizations unless your team is comfortable working with JavaScript, which is worth knowing upfront.
Ease of Use: Domo’s Core Strength
Domo tends to be more approachable for teams without dedicated engineering resources. It’s built for data teams that need to get from raw data to visualization without writing custom code, making it a more practical fit for organizations that want a capable in-house analytics tool rather than an embeddable product feature.
Pricing
Both platforms use custom, quote-based pricing, and neither publishes standard rates. Sisense’s cost varies significantly based on data volume, user count, and feature tier, and can get expensive quickly if you have a large number of real users interacting with your embedded analytics. Domo’s pricing is also opaque and quote-based, but tends to be more predictable if you have a reasonable sense of your expected monthly usage, and can end up cheaper than Sisense for equivalent-scale deployments.
| Factor | Sisense | Domo |
|---|---|---|
| Primary use case | Embedded analytics in your own product | Internal data analysis and visualization |
| Technical requirement | Higher, often needs JavaScript for customization | Lower, more self-service |
| Best for | SaaS companies embedding analytics | In-house data and business teams |
| Pricing | Custom, scales with real users | Custom, more predictable at known usage |
Where Sisense Wins
If you’re building a product where analytics is a customer-facing feature, not just an internal reporting tool, Sisense’s architecture is purpose-built for that. Teams with strong engineering resources can build genuinely differentiated embedded analytics experiences that would be difficult to replicate with a more general-purpose BI tool.
Where Domo Wins
For internal analytics needs, especially for teams without heavy engineering support, Domo’s more self-service approach tends to get people up and running faster. It’s a better fit for organizations that want a capable analytics tool for their own team’s use, rather than a platform to embed inside a customer product.
Which One Should You Choose?
If your goal is embedding analytics into your own SaaS product and you have the engineering resources to support it, Sisense is generally the better technical fit. If you need an internal tool for your data and business teams to analyze and visualize company data without heavy custom development, Domo tends to be the more practical option.
For more general BI options beyond these two, our roundup of the best business intelligence software and best data visualization tools cover a wider range of platforms worth comparing. Our comparison of Tableau vs Power BI is also worth a read if you’re evaluating more traditional BI tools alongside these two.
FAQs About Sisense vs Domo
Which tool is better for embedding analytics into a product?
Sisense is generally the stronger choice for embedded analytics, since it’s specifically built for developers integrating dashboards and charts directly into their own applications.
Does Domo require coding knowledge?
Not typically. Domo is designed to be more self-service, letting business and data teams prepare and visualize data without deep engineering or coding skills.
Is Sisense more expensive than Domo?
It depends on scale. Sisense costs can climb significantly with a large number of real users in an embedded analytics context, while Domo tends to be more predictable if your usage is well understood upfront.
Can small businesses use Sisense or Domo?
Both are generally aimed at mid-sized to larger organizations given their pricing and complexity, though the right fit really depends on whether you need embedded or internal analytics.
Is Sisense good for internal reporting too, not just embedding?
It can be used that way, but its core strength and design intent center around embedded analytics for products, so teams needing only internal reporting may find other tools more straightforward.
How customizable is Sisense’s visualization compared to Domo?
Sisense offers deep customization but often requires JavaScript knowledge to fully take advantage of it, while Domo’s customization is generally more limited but more accessible without coding.
