Requires quote · custom quote · New products or solutions embedding analytics and reporting
Flat
$4900 USD · per month · starting at · billed annually
Variable
$1950 USD · per month · starting at
The Embedded license covers product integration and development/QA instances. New Projects requires a quote. Flat starts at USD 4,900 per month, billed annually, with a three-year price guarantee. Variable is as low as USD 1,950 per month and combines a base amount with a variable component tied to the value of analytics in the SaaS solution. Both numeric plans allow unlimited users, instances and usage and add support charges. A pricing workshop adapts the starting prices to the business case.
Enterprise supports User and Usage purchasing. User pricing is per user/customer; Usage terms require a quote. AI agents and Analyst Studio entitlements vary by purchasing option. The applicable order form sets price and term; signed orders are generally non-cancellable and non-refundable. A separate LLM provider may charge its own fees.
SaaS teams adding customer-facing dashboards and reporting
Analytics teams managing dimensional models and embedded visualization
Teams that can host and operate analytics on their own infrastructure
Product teams embedding customer-facing analytics
Applications requiring tenant organizations and row-level security
Teams building on Snowflake
Not for
Buyers requiring vendor-hosted analytics
Deployments requiring loaded data beyond available host memory
Buyers requiring the analytics product itself to act as the system of record or data backup
Source check
92/100
88/100
Key features
Branded interactive dashboards
Data integration, semantic layer and measures
Fine-grained roles using existing authentication and authorization
iFrame or DIV embedding with two-way API communication
On-premises, private-cloud or public-cloud customer deployment
Visual Embed SDK and REST APIs
Branded dashboards and natural-language search
Tenant organizations and row-level security
SSO and token-based authentication
Custom actions and writeback workflows
Cons
Support charges are additional to the advertised numeric license prices.
Variable pricing includes a value-based component beyond its base amount.
Customer hosting and memory capacity require infrastructure planning.
Enterprise pricing requires a sales quote
AI and Analyst Studio packaging varies between User and Usage purchasing
Developer access is temporary and production permissions require confirmation
Category buying score
82
84Higher category-fit score
Rank
#6
#5
Context
Data & Analytics / Embedded Analytics Software
Data & Analytics / Embedded Analytics Software
Application embedding fit
86iFrame or DIV embedding and two-way API communication connect dashboards to application context, while customer-operated deployment makes infrastructure part of the integration plan.
88The Visual Embed SDK, REST APIs and custom actions support analytics within customer-facing applications; the internal Embed Add-on has a different license scope.
Tenant security and access control
84Fine-grained roles can use the application's authentication and authorization mechanisms to control data and dashboard access.
87Tenant organizations, row-level security and SSO support separation of customer access; HIPAA-related customer data additionally requires an executed BAA.
White-label experience quality
87Custom themes, logos and visualizations let dashboards reflect the host product's branding within an embedded experience.
84Branded dashboards and embedded search support a host-product experience, while teams still need to align the embedded interactions with their application.
Customer-facing performance
74The in-memory architecture places loaded data within the host's memory capacity, so customer workload and allocated infrastructure determine deployment fit.
78The multi-tenant model and Enterprise user and data allowances support customer-facing deployment, while query-based consumption affects the operating budget for dashboard use.
Embedded self-service depth
79Interactive dashboards and a semantic model with measures support customer data exploration, with the application team defining the embedded reporting experience.
82Natural-language search, self-service exploration and writeback workflows let customers investigate data and act within the application; AI and Analyst Studio entitlements depend on the purchasing option.
Product administration visibility
80Customer-controlled deployment and development and QA instances support release management, while hosting and operating the service remain the buyer's responsibilities.
80REST APIs and permission groups give product teams interfaces and access controls for embedded deployments; User and Usage licensing and query consumption remain separate administration decisions.
These are the stored dimension rationales returned with each score. They explain the buyer conditions behind the gap without speculating about hidden model reasoning.
Customer-facing performance
4 pts
icCube · 74/100
The in-memory architecture places loaded data within the host's memory capacity, so customer workload and allocated infrastructure determine deployment fit.
ThoughtSpot Embedded · 78/100
The multi-tenant model and Enterprise user and data allowances support customer-facing deployment, while query-based consumption affects the operating budget for dashboard use.
Tenant security and access control
3 pts
icCube · 84/100
Fine-grained roles can use the application's authentication and authorization mechanisms to control data and dashboard access.
ThoughtSpot Embedded · 87/100
Tenant organizations, row-level security and SSO support separation of customer access; HIPAA-related customer data additionally requires an executed BAA.
White-label experience quality
3 pts
icCube · 87/100
Custom themes, logos and visualizations let dashboards reflect the host product's branding within an embedded experience.
ThoughtSpot Embedded · 84/100
Branded dashboards and embedded search support a host-product experience, while teams still need to align the embedded interactions with their application.
Research basis
Research basis
This page uses stored product facts, official evidence, and category scoring rationales. It is not an account-based hands-on test, and third-party user ratings are not folded into the category buying score.
icCube
Fact confidence: 92% · Fact checked: 2026-10-07
ThoughtSpot Embedded
Fact confidence: 88% · Fact checked: 2026-10-07
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