Tenant-based customer analytics platform
Data as of Oct 26, 2026
Reviewed by Dimitry Apollonsky
Which brands AI mentions
Mentioned in · Jul 19 – Oct 26, 2026
ChatGPT SearchChatGPT SearchGoogle AI ModeGoogle AI Mode
Widest split: Microsoft Power BI, 76% on ChatGPT Search and 25% on Google AI Mode.
- 1GoodDataChatGPT Search 86%Google AI Mode 70%
- =2QrveyChatGPT Search 38%Google AI Mode 85%
- =2Microsoft Power BIChatGPT Search 76%Google AI Mode 25%
- =2EmbeddableChatGPT Search 38%Google AI Mode 60%
- =2HolisticsChatGPT Search 52%Google AI Mode 40%
Questions and answers
Google AI ModeOct 26, 2026
Several customer-facing analytics platforms replace traditional per-user seat licensing with flat-rate, per-tenant, or workspace-based pricing . This approach ensures your costs do not multiply every time a new customer, account, or end-user opens a dashboard.
Top Customer-Facing Analytics Platforms with Predictable Pricing
Platform Primary Pricing Model How Viewer/Tenant Scaling Works Best Suited For Qrvey Flat-Rate Pricing Unlimited users, dashboards, tenants, and data volume under a fixed platform license. SaaS companies wanting zero cost spikes as adoption grows across accounts. GoodData Per-Tenant / Workspace Pricing Platform fee plus workspace/tenant pricing with unlimited users per workspace. Multi-tenant SaaS products that scale by customer organization rather than headcounts. Basedash Flat Monthly Rate Predictable flat monthly base rate (plus AI usage) rather than charging per seat. Teams looking for straightforward, transparent monthly spend. Breakdown of Predictable Pricing Models
- Flat-Rate / Unlimited-User Licensing (e.g., Qrvey): Charges a single predictable platform fee regardless of how many end-users, tenants, or internal staff access the system. This completely decouples your analytics budget from your customer's growth trajectory.
- Per-Tenant / Workspace-Based Licensing (e.g., GoodData): Scales based on the number of distinct customer workspaces or tenants you provision. Within each tenant or workspace, adding 5 or 50 additional viewer seats does not increase your bill.
- Flat Monthly Base Rates (e.g., Basedash): Uses a predictable baseline subscription model for the product/AI usage layer instead of a per-seat counter.
If you'd like to narrow down the right fit, tell me:
- How many total customer tenants (organizations) do you plan to support?
- Where is your data hosted (e.g., Snowflake, BigQuery, AWS)?
- Do you need full white-labeling and custom embedding or lightweight table views?
ChatGPT SearchOct 26, 2026
If you're building customer-facing analytics into a SaaS product, the best fit is usually an embedded analytics platform with flat application pricing, a platform subscription, or tenant/workspace pricing—rather than a license for every customer who opens a dashboard.
As of October 2026, there are several credible options. The key distinction is whether the vendor eliminates viewer fees entirely or simply replaces them with usage, workspace, or infrastructure charges.
Best platforms to shortlist
1. Bold BI
(Best application-based fit)
Pricing: Custom quote
Explicitly offers licensing without per-user or per-viewer fees, supports multi-tenancy and row-level security, and provides cloud, private-cloud, and on-premises deployments. The quote depends on deployment and scale, so it isn't an unconditional fixed price.
2. Qrvey
(Best for unlimited tenants)
Pricing: Flat-rate quote; perpetual licensing also offered
Designed specifically for SaaS companies. Qrvey advertises flat-rate licensing with unlimited tenants, users, dashboards, instances, data, and connections. It also offers two editions, with or without its built-in data engine.
3. Embeddable
Pricing: Custom flat monthly subscription
A strong choice for product teams that want native-looking analytics components rather than a separate BI interface. Pricing is primarily based on project scope, not MAUs, dashboard views, or query volume. Complex deployments may still affect the quote.
4. GoodData
Pricing: Platform fee + workspaces
A good match when each customer needs its own isolated analytics environment. Professional pricing is based on the platform fee and workspace count, with unlimited users and data advertised. This avoids per-viewer licensing, although costs rise as you add workspaces.
5. Semaphor
Pricing: Platform-based; contact for quote
An alternative worth evaluating if you want analytics tightly integrated into your product. The vendor explicitly says pricing is based on platform capabilities rather than viewer counts, with cloud and self-hosted options.
Official website and pricing inquiry
Pricing comparison at a glance
Platform Billing basis Viewer fees? Public starting price Bold BI Deployment and scale No Custom quote Qrvey Flat-rate license No Custom quote Embeddable Project scope / flat subscription Not the primary pricing driver Custom quote GoodData Platform + workspaces No per-viewer fee Custom quote Semaphor Platform capabilities No Custom quote Sources: vendor pricing pages and product information.
What about platforms with usage-based pricing?
Two other options may be worth considering, but they aren't as strictly predictable as a flat application license.
- Luzmo — starts at €1,995/month, billed annually. Its platform fee is fixed, but customer adoption can affect the bill through agreed usage measures such as monthly active users, AI conversations, or data volume.
- Microsoft Power BI Embedded — charges for compute capacity rather than each viewer in its app-owns-data embedding model. This can work well when usage is predictable, but capacity and concurrency determine costs.
My recommendation
If your main goal is to let thousands of customers view analytics without every additional viewer increasing your software bill, I'd start with Bold BI, Qrvey, and Embeddable. Add GoodData if tenant isolation and a governed semantic layer are especially important.
Before selecting a vendor, ask each for a quote covering the same scenario:
- 100, 1,000, and 10,000 customer organizations.
- 10–100 viewers per organization.
- White-label embedding, SSO, and tenant-level data isolation.
- Interactive dashboards and self-service report creation.
- All environments, infrastructure, support, and overage charges.
The most important question is: “If our viewer count grows 10× but our application count and deployment stay the same, what exactly changes on our invoice?”
That answer will tell you more about long-term pricing predictability than the advertised starting price.
Sources cited in this answer17
- luzmo.comEmbedded Analytics Pricing in 2026: 20 Vendors Compared
- draxlr.comBest Embedded Analytics Tools for SaaS Teams in 2026
- boldbi.comFlexible Pricing & Plans for Your Analytics Needs | Bold BI
- boldbi.comEmbedded Analytics Pricing Models Compared
- boldbi.comFlexible Pricing & Plans for Your Analytics Needs | Bold BI
- qrvey.comPricing | Qrvey
ChatGPT SearchOct 17, 2026
For customer portals with many external users across multiple customer organizations, I’d prioritize embedded analytics platforms that charge by tenant/workspace, application, deployment, or platform capacity rather than by named viewer.
The important distinction is that not charging per viewer does not necessarily mean unlimited usage. Some vendors substitute workspace fees, monthly active users (MAUs), query consumption, or data-capacity charges.
Based on current vendor information, these are the strongest candidates to evaluate.
Best-fit platforms
1. GoodData
(Best for tenant/workspace pricing)
Pricing: Platform fee plus number of workspaces; unlimited users and data on the Professional plan, according to its pricing page.
Why it fits: Designed for multi-tenant analytics, with hierarchical workspaces that let you separate customers while sharing common metrics and dashboards.
Watch out for: Each independently governed customer workspace can increase cost. Get a quote based on your actual tenant structure.
Pricing:
2. Microsoft Power BI Embedded
(Best for application-capacity pricing)
Pricing: Dedicated Azure capacity, rather than a Power BI license for every external viewer using the app-owns-data embedding model.
Why it fits: Your application authenticates customers and serves embedded reports. This is a strong option if you're comfortable managing capacity, concurrency, and performance.
Watch out for: Capacity costs and scaling still matter. Internal authors and developers may need separate licenses.
Documentation:
3. Luzmo
(Best for product-native analytics)
Pricing: Published Embedded Everywhere starting price of €1,995/month, billed annually, plus adoption-based usage. Some contracts use monthly active users rather than seats.
Why it fits: Built for analytics embedded directly in SaaS products and customer portals, with white-labeling, self-service exploration, and tenant-scoped access.
Watch out for: This is not strictly a fixed per-application fee. Active-user or AI and data-acceleration usage can affect the total.
Pricing:
4. ThoughtSpot Embedded
Pricing: Custom Enterprise Embedded pricing, with separate developer and eligible startup offers.
Why it fits: A candidate for portals where customers need search-driven analytics, ad hoc exploration, and AI-assisted questions. Tenant isolation can use Organizations, row-level security, or dedicated environments.
Watch out for: Ask for explicit confirmation that the production contract is not priced per external viewer, and establish usage or AI limits.
Website:
5. Looker (Google Cloud) — Embed edition
Pricing: Custom platform subscription with an embedding-focused edition and included API allowances. However, Looker also licenses named users.
Why it fits: Worth considering for governed metrics, complex data models, and customer-facing embedded applications.
Watch out for: Do not assume all external interactive users are covered by a flat platform fee. Confirm viewer licensing and contract terms for your exact embedding pattern.
Pricing:
How the pricing models compare
Platform Primary pricing approach Per-viewer avoidance GoodData Platform + workspaces Strong fit Power BI Embedded Application capacity Strong fit Luzmo Platform + adoption-based usage No per-seat model, but usage-based ThoughtSpot Embedded Custom enterprise contract Potential fit; confirm quote Looker Embed Platform subscription + user licensing considerations Requires careful validation My recommendation
- If you have hundreds or thousands of customer tenants: start with GoodData. Its workspace-based pricing directly maps to customer isolation.
- If analytics is a feature of your application and you have many viewers: evaluate Power BI Embedded. Capacity-based billing can be attractive when external viewer counts are high.
- If you want a turnkey, white-labeled analytics experience: evaluate Luzmo, especially if you prefer a published starting price and can forecast adoption.
- If customers need AI-powered exploration: add ThoughtSpot to the shortlist.
One important procurement question: ask vendors to quote the same scenario — for example, 500 customer tenants, 20,000 registered external users, 5,000 monthly active viewers, and 1,000 concurrent viewers at peak. Those are different measures, and the pricing model can make a major difference to total cost.
Also ask whether the contract charges for tenant count, active viewers, concurrency, query volume, or data capacity. That will reveal whether the pricing truly fits your portal.
Sources cited in this answer16
- gooddata.aiPricing | GoodData.AI
- gooddata.aiEmbedded Analytics: How To Choose The Right Pricing Model | GoodData.AI
- gooddata.aiPricing | GoodData.AI
- learn.microsoft.comRegister a Power BI Embedded app - Power BI | Microsoft Learn
- learn.microsoft.comEmbed Power BI report in a Power BI embedded analytics application for your customers - Power BI | Microsoft Learn
- learn.microsoft.comFrequently asked questions about Power BI embedded analytics - Power BI
Google AI ModeOct 17, 2026
When embedding analytics into a customer portal or multi-tenant SaaS application, traditional per-seat or per-viewer pricing can quickly destroy profit margins as user adoption scales . Fortunately, several modern embedded analytics vendors have shifted toward flat-rate, infrastructure-based, or tenant-scaled models that explicitly avoid charging you per end-viewer.
The analytics platforms that utilize a tenant-based or application-based/flat-rate model include:
- Qrvey — Flat-Rate Model (Unlimited Viewers/Tenants)
Qrvey is purpose-built for multi-tenant SaaS applications and operates on a flat-rate pricing structure across its Pro and Ultra tiers. You are not metered by the number of end-users, distinct client tenants, dashboards, or query volume. Pricing is tied strictly to the platform edition and your deployed infrastructure, allowing you to add unlimited viewers inside your customer portal without driving up your software bill. - Embeddable — Flat Monthly Subscription
Embeddable provides a developer-first toolkit for constructing custom, highly interactive analytics components natively inside applications. Their pricing model relies on a flat monthly subscription fee depending on your company stage (Startup vs. Scale-up), entirely omitting per-user, per-customer, or usage-based fees. - Explo — Tenant-Tiered/Application Scale Model
While Explo scales with the broad volume of your customer base rather than a single static fee, its Pro tier features unlimited dashboard templates and unlimited creators/viewers , tiered broadly against your overall customer count brackets rather than tracking individual human seats. It treats the embedded portal as an application-level feature set.
If you'd like to narrow this down, let me know:
- Your approximate number of tenants/customers and expected viewer count
- Whether you prefer a fully no-code drag-and-drop builder (like Qrvey) or a code-heavy custom component toolkit (like Embeddable)
I can help estimate which structure fits your architecture best.
Also asked as
- We want to avoid per-viewer licensing for our customer-facing analytics. Which platforms offer predictable pricing models based on the number of tenants?
