Reveal

Name: Reveal
Brand: Reveal

AI NativeLeader

Reveal is an embedded analytics SDK that enables developers to integrate dashboards, self-service reporting, and visual analytics into web, mobile, and desktop applications without using iFrames.

Est 2020|Valuation $762M|Raised $173.1M|1 Ref Customers

LinkedIn 21K|Web traffic 2K|FTEs 194|HQ Philadelphia, Pennsylvania, US

01Competitive Landscape

Narrative analysis

Areas where Reveal is positioned to perform well: - Embedded-first posture: positioned as an SDK intended to integrate analytics into an application's native UI with branding and theming control. - Cost predictability argument: positioned as an alternative to per-user pricing models, which can grow costs as user counts scale. Where competitors may have advantages: - Power BI Embedded: may be advantageous for organizations already using Microsoft tooling and cloud services, with familiarity around capacity-based economics. - Tableau: may be preferred where advanced visualization capabilities, internal BI workflows, and a large community of practitioners are priorities. - Sisense: an incumbent in embedded analytics that may be preferred where organizations already standardize on that vendor’s tooling. Adoption and market perception: - Vendor materials and third-party summaries position Reveal as favorably rated within embedded BI categories. Prospective buyers should verify current ratings and read both positive and critical reviews on review platforms to assess fit.

	Reveal (Embedded Analytics SDK)	Microsoft Power BI Embedded	Tableau (Cloud/Server + embedding)
Starting Price	Typically contact sales; vendor describes fixed or flat application pricing in some materials; public numbers are not consistently disclosed	Capacity-based pricing with hourly or capacity consumption models; authoring licenses are separate	Role-based public pricing for Tableau Cloud for typical user roles; embedded deployments frequently require additional commercial terms negotiated with the vendor
Best For	SaaS teams seeking a native embedded SDK with white-labeling and in-app integration control	Organizations already invested in the Azure/Microsoft ecosystem requiring capacity-based scaling and standard visuals	Organizations seeking a mature visualization ecosystem and governance features, where internal BI workflows and visualization depth are priorities
Key Strengths	SDK-based, non-iFrame embedding approach supporting in-app integration and branding control; predictable pricing positioning	Azure integration, capacity scaling, and broad adoption across Microsoft customers	Mature analytics and visualization feature set, broad community and talent availability
Key Weaknesses	Public disclosure of some security certifications and support for certain modern data formats is limited in reviewed materials; current pricing details are often provided via sales channels	Can require capacity tuning and infrastructure management; cost can vary with usage patterns	Can be complex and costly for external/embedded use; embedding often requires negotiation and additional licensing

01Competitive Landscape

Narrative analysis

Areas where Reveal is positioned to perform well:

Embedded-first posture: positioned as an SDK intended to integrate analytics into an application's native UI with branding and theming control.
Cost predictability argument: positioned as an alternative to per-user pricing models, which can grow costs as user counts scale.

Where competitors may have advantages:

Power BI Embedded: may be advantageous for organizations already using Microsoft tooling and cloud services, with familiarity around capacity-based economics.
Tableau: may be preferred where advanced visualization capabilities, internal BI workflows, and a large community of practitioners are priorities.
Sisense: an incumbent in embedded analytics that may be preferred where organizations already standardize on that vendor’s tooling.

Adoption and market perception:

Vendor materials and third-party summaries position Reveal as favorably rated within embedded BI categories. Prospective buyers should verify current ratings and read both positive and critical reviews on review platforms to assess fit.

	Reveal (Embedded Analytics SDK)	Microsoft Power BI Embedded	Tableau (Cloud/Server + embedding)
Starting Price	Typically contact sales; vendor describes fixed or flat application pricing in some materials; public numbers are not consistently disclosed	Capacity-based pricing with hourly or capacity consumption models; authoring licenses are separate	Role-based public pricing for Tableau Cloud for typical user roles; embedded deployments frequently require additional commercial terms negotiated with the vendor
Best For	SaaS teams seeking a native embedded SDK with white-labeling and in-app integration control	Organizations already invested in the Azure/Microsoft ecosystem requiring capacity-based scaling and standard visuals	Organizations seeking a mature visualization ecosystem and governance features, where internal BI workflows and visualization depth are priorities
Key Strengths	SDK-based, non-iFrame embedding approach supporting in-app integration and branding control; predictable pricing positioning	Azure integration, capacity scaling, and broad adoption across Microsoft customers	Mature analytics and visualization feature set, broad community and talent availability
Key Weaknesses	Public disclosure of some security certifications and support for certain modern data formats is limited in reviewed materials; current pricing details are often provided via sales channels	Can require capacity tuning and infrastructure management; cost can vary with usage patterns	Can be complex and costly for external/embedded use; embedding often requires negotiation and additional licensing

Reveal

01Competitive Landscape

Narrative analysis

02Market Map

01Competitive Landscape

Narrative analysis

02Market Map