Verdict (TL;DR)
Verified 2026-05-23Embedded analytics is the layer that puts customer-facing dashboards inside your SaaS product. The category splits two ways in 2026. First axis: semantic-layer-first (Cube, GoodData) where a headless metrics API drives any front-end vs dashboard-first (Sigma Embed, Looker Embed, ThoughtSpot Embed, Explo, Embeddable, Luzmo, Toucan) where you ship pre-built or low-code charts. Second axis: developer-first modern (Cube, Explo, Embeddable, Luzmo) vs enterprise BI-with-embed (Looker, ThoughtSpot, Sigma). Sigma Embed wins for Snowflake-native ISVs. Cube wins when you need a metrics API decoupled from any visualisation. Looker Embed wins for Google Cloud / BigQuery-anchored ISVs. ThoughtSpot Embed wins for AI-search inside your product. Explo and Embeddable win for fast-moving SaaS startups that need white-labelled dashboards in weeks not quarters. Pricing is mostly opaque (ISV-deal pricing); build-vs-buy is the dominant strategic question, and most teams underestimate the build cost by 3-5x.
Best for your specific use case
- Snowflake-native ISV embedding: Sigma Embed Cloud-native architecture on Snowflake/Databricks. Spreadsheet-style end-user editing. Strong for ISVs whose customers also live on Snowflake.
- Headless semantic layer / metrics API: Cube Headless semantic layer with REST, GraphQL, SQL APIs. Decouples metrics from UI. Best when you bring your own front-end.
- Google Cloud / BigQuery anchored ISV: Looker Embed LookML semantic layer reused for embed. Native BigQuery. Liquid templating for multi-tenant filters.
- AI search inside your product: ThoughtSpot Embed Natural-language search-driven analytics. Sage AI surface for end users without dashboard building.
- Fast-moving SaaS startup needing white-label dashboards in weeks: Explo Developer-first React SDK. Partial public pricing. Targets seed-to-Series-B SaaS that cannot wait quarters.
- Composable React-native embedded analytics for product teams: Embeddable React-component embed model designed to ship inside a product UI rather than as an iframe shell.
- White-label dashboards with European data residency: Luzmo Belgian-built (formerly Cumul.io). Per-customer / per-embed pricing model. EU-residency by default.
- Enterprise semantic-layer ISV with governance: GoodData Semantic layer + multi-tenant workspaces. Long-standing ISV-embed positioning since 2007.
- Analyst-team SQL-led embedded analytics: Mode (ThoughtSpot) SQL-first, notebooks + dashboards, now under ThoughtSpot since 2023. Embed reasonable for analyst-driven products.
- French-built mobile-first guided analytics for end users: Toucan Toco Paris-built. Storytelling / mobile-first guided analytics rather than blank-canvas dashboards.
Embedded analytics is the layer that puts customer-facing dashboards, charts, and metrics inside a SaaS product. It is distinct from BI (which serves internal teams) and from product analytics (which tracks user behaviour for the product team). The buyer is an ISV product manager or engineering lead asking "do we build this in-house or buy a platform?"
The category bifurcates in 2026. The first axis is semantic-layer-first (Cube, GoodData) vs dashboard-first (Sigma Embed, Looker Embed, ThoughtSpot Embed, Explo, Embeddable, Luzmo, Toucan). Semantic-layer-first means a metrics API drives whatever front-end you want; dashboard-first means you ship pre-built or low-code dashboards. The second axis is modern developer-first (Cube, Explo, Embeddable, Luzmo) vs enterprise BI-with-embed (Looker, ThoughtSpot, Sigma). Modern developer-first products optimise for React SDKs, fast iteration, and ISV-friendly pricing; enterprise BI-with-embed products optimise for governance, scale, and reuse of an existing BI investment.
Pricing is mostly opaque because almost every deal is ISV-negotiated against volume, multi-tenancy, and white-label terms. Cube Cloud and Explo publish partial pricing; everyone else is "call sales." Build-vs-buy is the dominant strategic question. Most engineering teams underestimate the cost of building embedded analytics in-house by 3-5x once white-labelling, row-level security, multi-tenancy isolation, and dashboard editing UI are scoped honestly.
Quick comparison
| Product | Best for | Starts at | 10-emp/mo* | Pricing | G2 | Geo |
|---|---|---|---|---|---|---|
| 1 Sigma Embed | Mid-market ISVs and SaaS on cloud data warehouses | Quote | - | 4.6 | Global | |
| 2 Cube | Engineering-led ISVs and product teams | $0 + $0/emp | $0 | 4.6 | Global | |
| 3 Looker Embed | Enterprise ISVs on Google Cloud | Quote | - | 4.4 | Global | |
| 4 ThoughtSpot Embed | Mid-market and enterprise ISVs wanting AI-search embed | Quote | - | 4.5 | Global | |
| 5 Explo | Seed-to-Series-B SaaS startups | $795 | $795 | 4.7 | Global; US strongest | |
| 6 Embeddable | Product teams with React design systems | Quote | - | 4.7 | Global; UK / Europe / US strongest | |
| 7 Luzmo | European SaaS ISVs and GDPR-sensitive ISVs globally | Quote | - | 4.6 | Europe strongest; Global supported | |
| 8 GoodData | Mid-market and enterprise ISVs | Quote | - | 4.3 | Global; US and Europe strongest | |
| 9 Mode Analytics Embed | SaaS analyst-driven products | Quote | - | 4.5 | Global | |
| 10 Toucan Toco | European ISVs and customer-facing analytics for non-analyst end users | Quote | - | 4.5 | Europe strongest; Global supported |
*10-employee monthly cost = base fee + (per-employee × 10) using the lowest published tier. For opaque-pricing vendors, no value is shown.
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| From ↓ / To → | Sigma Embed | Cube | Looker Embed | ThoughtSpot Embed | Explo | Embeddable | Luzmo | GoodData | Mode Analytics Embed | Toucan Toco |
|---|---|---|---|---|---|---|---|---|---|---|
| Sigma Embed | - | OK 4 | Hard 7 | Medium 5 | Medium 6 | Medium 6 | Medium 6 | OK 4 | Medium 6 | OK 4 |
| Cube | OK 4 | - | Hard 7 | Medium 5 | Medium 6 | Medium 6 | Medium 6 | OK 4 | Medium 6 | OK 4 |
| Looker Embed | Hard 7 | Hard 7 | - | OK 4 | Medium 5 | Medium 5 | Medium 5 | Hard 7 | Medium 5 | Hard 7 |
| ThoughtSpot Embed | Medium 5 | Medium 5 | OK 4 | - | Hard 7 | Hard 7 | Hard 7 | Medium 5 | Hard 7 | Medium 5 |
| Explo | Medium 6 | Medium 6 | Medium 5 | Hard 7 | - | OK 4 | OK 4 | Medium 6 | OK 4 | Medium 6 |
| Embeddable | Medium 6 | Medium 6 | Medium 5 | Hard 7 | OK 4 | - | OK 4 | Medium 6 | OK 4 | Medium 6 |
| Luzmo | Medium 6 | Medium 6 | Medium 5 | Hard 7 | OK 4 | OK 4 | - | Medium 6 | OK 4 | Medium 6 |
| GoodData | OK 4 | OK 4 | Hard 7 | Medium 5 | Medium 6 | Medium 6 | Medium 6 | - | Medium 6 | OK 4 |
| Mode Analytics Embed | Medium 6 | Medium 6 | Medium 5 | Hard 7 | OK 4 | OK 4 | OK 4 | Medium 6 | - | Medium 6 |
| Toucan Toco | OK 4 | OK 4 | Hard 7 | Medium 5 | Medium 6 | Medium 6 | Medium 6 | OK 4 | Medium 6 | - |
All 10, ranked and reviewed
Each product gets the same scrutiny: who it’s actually best for, where it falls short, what it really costs, and how it scores across six dimensions.
Sigma Embed
Snowflake-native embedded analytics with spreadsheet-style end-user editing.
Sigma Embed packages the Sigma BI product as an ISV-embeddable analytics layer. Its strength is the cloud-native architecture on Snowflake (and Databricks, BigQuery, Redshift) plus a spreadsheet-style editing surface that lets your end customers explore and modify dashboards without learning a BI tool. Best fit is ISVs whose customers already sit on Snowflake or who need writeback and scenario modelling inside the embed. Trade-offs: pricing requires sales engagement, the embed is heavier than purpose-built ISV products, and the Snowflake-anchored architecture narrows fit outside cloud data warehouse customers.
Snowflake-anchored ISVs and mid-market SaaS whose end customers expect spreadsheet-style analytics and writeback.
Lean React SDK embed use cases (Explo or Embeddable better), pure metrics-API consumers (Cube wins), or budget-constrained early-stage ISVs.
Strengths
- Cloud-native architecture on Snowflake, Databricks, BigQuery, Redshift
- Spreadsheet-style end-user editing without BI training
- Strong multi-tenant row-level security model
- Writeback and scenario modelling supported inside embed
- iframe and JS SDK embed paths
Weaknesses
- Pricing opaque and ISV-deal negotiated
- Best fit narrows when customers are not on a cloud data warehouse
- Heavier embed surface than purpose-built ISV products like Explo
Pricing tiers
opaque- Sigma Embed StandardIndustry-reported $40K-$120K annually for early-stage ISVsQuote
- Sigma Embed EnterpriseIndustry-reported $120K-$500K+ annually at scaleQuote
- · Snowflake compute is separate
- · Multi-year contracts standard
- · White-label add-on may price separately
Key features
- +iframe and JS SDK embed
- +Row-level security
- +Spreadsheet-style editing
- +Writeback
- +White-labelling
- +Multi-tenant workspaces
- +Sigma AI assistant
Cube
Headless semantic layer and metrics API for any front-end.
Cube is the headless semantic layer for embedded analytics. Instead of shipping pre-built dashboards, Cube exposes metrics through REST, GraphQL, and SQL APIs so the product team builds whatever front-end fits. Best fit is engineering-led ISVs that already have React or component libraries and want metrics decoupled from any specific BI vendor. Open-source core (Cube Core) plus Cube Cloud for managed deployment. Trade-offs: you build the UI, the semantic-layer modelling has a learning curve, and "headless" only pays off if you actually need a custom front-end.
Engineering-led ISVs with React or component-library front-ends that want metrics decoupled from any BI vendor.
Teams that need dashboards immediately (Explo or Sigma Embed better) or non-technical analyst teams without front-end engineering capacity.
Strengths
- Headless semantic layer with REST, GraphQL, SQL APIs
- Open-source core under Apache 2.0
- Cube Cloud managed offering with partial public pricing
- Pre-aggregations materialised for query performance
- Multi-tenant security policies in data-model code
Weaknesses
- You build the UI; no dashboards out of the box
- Semantic-layer modelling has a learning curve
- Headless value only pays off when you need a custom front-end
Pricing tiers
partial- Cube Core (OSS)Self-hosted; Apache 2.0$0+$0 /mo +/emp
- Cube Cloud StarterFree tier for small workloads; published on cube.dev/pricing$0 /mo
- Cube Cloud PremiumProduction tier; partial public pricing on websiteQuote
- Cube Cloud EnterpriseCustom enterprise tier with SLAsQuote
- · Self-hosted requires DevOps capacity
- · Pre-aggregation storage costs at scale
Key features
- +Semantic layer in YAML/JS
- +REST + GraphQL + SQL APIs
- +Pre-aggregations
- +Row-level security policies
- +Multi-tenant data model
- +BI-tool connectors (Tableau, Superset, Hex)
Looker Embed
Google Cloud / BigQuery-anchored enterprise embedded analytics.
Looker Embed packages Looker as an ISV-embeddable analytics layer with the LookML semantic layer and Liquid templating for multi-tenant filters. Best fit is ISVs anchored on Google Cloud / BigQuery whose customers will also benefit from the same semantic layer powering internal BI. Trade-offs: pricing is opaque enterprise-only, LookML expertise is required, and post-Google-acquisition product velocity has been slow compared with both modern challengers (Cube, Explo) and Google's own consumer-grade Looker Studio.
Enterprise and mid-market ISVs on Google Cloud / BigQuery wanting semantic-layer-driven embed reused from internal BI.
Startups wanting a React SDK and weeks-to-ship (Explo or Embeddable better), or any team outside Google Cloud who finds Looker pricing hard to justify.
Strengths
- LookML semantic layer reused for embedded and internal BI
- Native BigQuery integration
- Liquid templating for multi-tenant filters and white-label theming
- Google Cloud security, governance, and SOC 2 / FedRAMP posture
- iframe and JS embed paths
Weaknesses
- Pricing opaque, enterprise-only
- LookML expertise required to build and maintain models
- Post-Google acquisition product velocity has been slow
Pricing tiers
opaque- Looker Embed StandardIndustry-reported $60K-$200K annually for embed footprintQuote
- Looker Embed EnterpriseIndustry-reported $200K-$1M+ annually at ISV scaleQuote
- · BigQuery query costs separate
- · Implementation services typical
- · Multi-year contracts standard
Key features
- +LookML semantic layer
- +Liquid templating for multi-tenant filters
- +Native BigQuery
- +iframe + signed-URL embed
- +White-label theming
- +Data Actions
- +Gemini for Looker
ThoughtSpot Embed
Natural-language search-driven embedded analytics with Sage AI.
ThoughtSpot Embed brings the search-first ThoughtSpot interface into ISV products: end users ask questions in natural language and get charts and Liveboards without building dashboards. Sage AI is the central differentiator. Best fit is ISVs whose customers want answers, not dashboards, and where AI-search is a marketable end-user feature. Trade-offs: pricing is opaque enterprise-only, implementation requires data prep and modelling, and brand momentum has been uneven post-Mode acquisition.
Mid-market and enterprise ISVs whose end users expect AI-search analytics in-product rather than dashboard authoring.
Small ISVs (Explo or Luzmo cheaper), teams that need a metrics API (Cube wins), or any team uncomfortable selling against an opaque enterprise price.
Strengths
- Natural-language search-first end-user experience
- Sage AI assistant embedded in customer-facing surface
- Liveboards plus search both available in embed
- Mode (acquired 2023) adds SQL-led analyst-embed path
- iframe and SDK embed plus REST APIs
Weaknesses
- Pricing opaque, enterprise-only
- Implementation requires data prep and modelling
- Brand and roadmap momentum mixed post-Mode acquisition
Pricing tiers
opaque- ThoughtSpot EmbedIndustry-reported $50K-$250K annually mid-market ISVQuote
- ThoughtSpot Embed EnterpriseIndustry-reported $250K-$1M+ annually enterprise ISVQuote
- · Implementation services typical
- · Multi-year contracts standard
- · Sage AI usage may price separately
Key features
- +Natural-language search
- +Sage AI
- +Liveboards (dashboards)
- +iframe + SDK + REST APIs
- +Row-level security
- +Multi-tenant orgs
- +Mode (SQL analyst embed)
Explo
Developer-first white-label embedded analytics for SaaS startups.
Explo is the developer-first embedded analytics product for SaaS startups that need customer-facing dashboards in weeks rather than quarters. Strong React SDK, white-label by default, partial public pricing on the website. Best fit is seed-to-Series-B SaaS teams whose product roadmap cannot wait for a Looker or Sigma rollout. Trade-offs: feature surface narrower than enterprise BI-with-embed, scalability ceiling lower than Looker / Sigma, and roadmap depends on a small but well-funded company.
Seed-to-Series-B SaaS startups that need white-label customer-facing dashboards shipping in weeks.
Enterprise ISVs with strict governance needs (Looker Embed wins), Snowflake-anchored ISVs needing writeback (Sigma Embed wins), or teams that want a headless metrics API (Cube wins).
Strengths
- React SDK with white-label theming by default
- Partial public pricing on website, rare in category
- Targets seed-to-Series-B SaaS speed-of-ship
- In-product report builder for end-user authoring
- Embedded dashboards plus self-serve exploration in one product
Weaknesses
- Feature surface narrower than enterprise BI-with-embed
- Scalability ceiling lower than Looker / Sigma at very large enterprise loads
- Small team; roadmap depends on a small but well-funded company
Pricing tiers
partial- LaunchEntry tier; published on explo.co/pricing$795 /mo
- GrowthMid-tier; partial public pricingQuote
- EnterpriseCustom enterprise; multi-tenant scaleQuote
- · Per-tenant or per-active-user uplifts may apply at scale
- · Multi-year contracts at Enterprise
Key features
- +React SDK
- +White-label theming
- +In-product report builder
- +Multi-tenant data model
- +Email scheduling
- +PDF export
- +Drilldowns
Embeddable
Composable React-component embedded analytics built to live inside product UI.
Embeddable is the composable embedded analytics product designed to ship as React components inside an existing product UI, not as an iframe shell. Built on a code-first dashboard definition model so product teams treat dashboards like any other component in their codebase. Best fit is product teams that already have a design system and refuse to compromise on UX. Trade-offs: small vendor, smaller community, and learning curve for the code-first dashboard model.
Product teams with established React design systems who want embedded dashboards to feel native, not iframe-bolted.
Teams wanting blank-canvas end-user dashboard authoring (Sigma Embed wins), enterprise governance (Looker Embed wins), or large communities and pre-built integrations.
Strengths
- React-component embed model, not iframe
- Code-first dashboard definitions versioned in your repo
- Designed to fit inside an existing product design system
- Multi-tenant by default with row-level security
- Cube-style semantic layer underneath
Weaknesses
- Small vendor with small community vs category leaders
- Code-first dashboard model has a learning curve
- Best fit narrows for non-React front-ends
Pricing tiers
opaque- Embeddable StandardIndustry-reported $30K-$80K annuallyQuote
- Embeddable EnterpriseCustom enterprise tierQuote
- · Underlying data warehouse compute separate
Key features
- +React-component embed
- +Code-first dashboard definitions
- +Semantic layer
- +Multi-tenant security
- +Theming aligned to product design system
- +TypeScript SDK
Luzmo
Belgian-built white-label embedded analytics with European data residency.
Luzmo (formerly Cumul.io, rebranded 2023) is the Belgian-built white-label embedded analytics product targeting SaaS ISVs that need European data residency and an end-user-friendly dashboard editor. Strong drag-and-drop dashboard builder for end customers, AI assistant (Luzmo IQ) for natural-language exploration. Best fit is European SaaS ISVs and any team where GDPR-by-design and EU-residency are deal-blockers. Trade-offs: smaller integration ecosystem than US category leaders, less brand recognition in the US.
European SaaS ISVs (and any GDPR-sensitive ISV) wanting white-label embedded analytics with EU-residency by default.
US enterprise ISVs anchored on Snowflake (Sigma Embed wins) or teams that want a headless metrics API (Cube wins).
Strengths
- Belgian-built; EU data residency by default
- White-label drag-and-drop dashboard editor for end users
- Luzmo IQ AI assistant for natural-language analytics
- Per-tenant / per-active-user pricing model honest about ISV economics
- Strong fit with European GDPR-by-design requirements
Weaknesses
- Smaller integration ecosystem than US category leaders
- Less US brand recognition vs Sigma / Looker
- Pricing requires sales engagement at higher tiers
Pricing tiers
opaque- Luzmo StarterIndustry-reported entry pricing from EUR 1,200/monthQuote
- Luzmo GrowthPer-tenant / per-active-user upliftsQuote
- Luzmo EnterpriseCustom enterprise tierQuote
- · Per-active-user or per-embed uplifts at scale
- · Multi-year contracts at Enterprise
Key features
- +White-label dashboard editor
- +Luzmo IQ AI assistant
- +Multi-tenant security
- +EU data residency by default
- +iframe + JS SDK embed
- +Drag-and-drop end-user authoring
GoodData
Long-standing semantic-layer ISV-embed platform with multi-tenant workspaces.
GoodData is the long-standing ISV-embed platform built around a semantic layer and multi-tenant workspaces. Founded 2007, predates most modern entrants. Strong governance, semantic-layer modelling, and multi-tenant isolation model. Best fit is mid-market and enterprise ISVs that need a mature governance posture and prefer a semantic-layer-first vendor with embed as the primary product. Trade-offs: UI feels older than modern challengers, brand momentum has slowed, and pricing requires sales engagement.
Mid-market and enterprise ISVs wanting a mature semantic-layer ISV-embed platform with governance and multi-tenant isolation.
Early-stage SaaS that need ship-in-weeks (Explo wins) or teams expecting modern UX out of the box.
Strengths
- Semantic layer plus multi-tenant workspaces
- Long-standing ISV-embed positioning since 2007
- Mature governance and multi-tenant isolation
- Headless API surfaces for custom front-ends
- GoodData.CN containerised deployment option
Weaknesses
- UI feels older than modern challengers
- Brand momentum slowed vs Sigma / Cube
- Pricing opaque; sales-engaged
Pricing tiers
opaque- GoodData GrowthIndustry-reported $30K-$100K annuallyQuote
- GoodData EnterpriseIndustry-reported $100K-$500K+ annuallyQuote
- GoodData.CNSelf-hosted containerised; custom pricingQuote
- · Multi-year contracts standard
- · Implementation services typical
Key features
- +Semantic layer (LDM)
- +Multi-tenant workspaces
- +iframe + JS SDK + REST APIs
- +Headless surfaces
- +GoodData.CN containerised
- +White-label theming
Mode Analytics Embed
SQL-first analyst-led embedded analytics, now under ThoughtSpot.
Mode Analytics Embed is the SQL-first analyst-led analytics product, acquired by ThoughtSpot in 2023 for $200M. Mode's embed path is best for SaaS products where the dashboards your customers see are the same dashboards your analyst team builds in SQL and Python notebooks. Best fit is analyst-driven products and data-team-internal-then-external use cases. Trade-offs: positioning is still settling under ThoughtSpot, embed UX is less polished than purpose-built ISV products, and SQL-comfortable team is required.
Analyst-driven SaaS products where the customer-facing dashboards are the same dashboards the internal analyst team builds.
Product teams wanting end-user self-serve dashboard authoring (Sigma Embed or Luzmo win) or non-SQL teams.
Strengths
- SQL-first; analyst-team-friendly
- Notebooks plus dashboards plus embed in one product
- Strong R / Python integration for analyst workflows
- Reasonable iframe + signed-URL embed path
- Mode AI for SQL generation
Weaknesses
- Post-ThoughtSpot positioning still settling
- Embed UX less polished than purpose-built ISV products
- Requires SQL-comfortable team to maintain
Pricing tiers
opaque- Mode StudioIndustry-reported $400-$700/user/year for analystsQuote
- Mode EnterpriseIndustry-reported $1,200+/user/year + embed dealQuote
- · Embed footprint priced separately from analyst seats
- · Multi-year contracts standard
Key features
- +SQL editor
- +Python / R notebooks
- +Dashboards
- +iframe + signed-URL embed
- +Mode AI for SQL generation
- +Visual explorer
Toucan Toco
French-built mobile-first guided analytics for end-user storytelling.
Toucan Toco is the Paris-built guided analytics product designed to tell stories to end users on mobile and desktop, not to give them a blank dashboard canvas. Strong for ISVs whose customers are non-analysts and need narrative-led insight rather than self-service exploration. EU-residency by default. Trade-offs: narrower feature surface than full BI-with-embed, smaller integration ecosystem, and less US brand presence.
European ISVs and any team building customer-facing analytics for non-analyst end users who need guided, mobile-friendly storytelling.
Analyst-driven products (Mode or Sigma Embed win), engineering teams wanting headless APIs (Cube wins), or US-only ISVs anchored on Snowflake (Sigma Embed wins).
Strengths
- Mobile-first guided analytics for non-analyst end users
- Storytelling / narrative-led insight delivery
- Paris-built; EU data residency by default
- White-label theming and multi-tenant support
- Strong in French and European regulated industries
Weaknesses
- Narrower feature surface than full BI-with-embed
- Smaller integration ecosystem than US category leaders
- Less US brand presence
Pricing tiers
opaque- Toucan Toco StandardIndustry-reported entry tier around EUR 30K-80K annuallyQuote
- Toucan Toco EnterpriseIndustry-reported EUR 80K-300K+ annually at scaleQuote
- · Multi-year contracts standard
- · Implementation services typical for large rollouts
Key features
- +Mobile-first guided analytics
- +Storytelling templates
- +White-label theming
- +Multi-tenant support
- +EU data residency
- +No-code dashboard authoring
6 steps to pick the right embedded analytics software
- 1 1. Define whether you are semantic-layer-first or dashboard-first
If your team has front-end engineering capacity and wants metrics decoupled from any BI vendor, you are semantic-layer-first (Cube, GoodData). If you want to ship dashboards in weeks and accept themed pre-built UX, you are dashboard-first (Sigma Embed, Looker Embed, Explo, Embeddable, Luzmo, Toucan).
- 2 2. Match your data warehouse and stack
Snowflake-anchored? Sigma Embed is the natural fit. BigQuery / Google Cloud? Looker Embed reuses your semantic layer. Polyglot or no warehouse yet? Cube or Explo. EU data residency required? Luzmo or Toucan Toco.
- 3 3. Honestly model build vs buy
Estimate the multi-quarter cost of building white-labelling, row-level security, dashboard editing UI, exports, and drilldowns in-house. Most teams underestimate by 3-5x. If your roadmap will not tolerate a 12-18 month build, buy.
- 4 4. Get itemised quotes with pricing axes named
Ask each vendor: per-active-user, per-embed, per-query, or per-tenant? White-label included or add-on? Multi-year escalator? Price floor at 3x forecast volume? Pricing is opaque in this category; force itemisation.
- 5 5. Pilot with one customer-facing dashboard in production
Free OSS (Cube Core), free trials (Sigma 14 days, Explo 14 days, Luzmo 10 days, Hex personal). Ship one real dashboard to one real customer cohort. The four days you spend on a real pilot is the best diligence available.
- 6 6. Plan for multi-year contracts and exit
Sigma Embed, Looker Embed, ThoughtSpot Embed, GoodData, Toucan typically expect 2-3 year contracts. Negotiate price escalators, data-export commitments, and notice periods before signing. Confirm the semantic-layer definitions are exportable.
Frequently asked questions
The questions buyers actually ask before they sign a embedded analytics software contract.
What is embedded analytics and how is it different from BI and product analytics?
Semantic-layer-first vs dashboard-first, which should I pick?
How much should I budget for embedded analytics?
Build vs buy, what is the actual cost of building embedded analytics in-house?
White-label vs co-branded vs Powered-By branding, what is the reality?
How does multi-tenancy isolation actually work?
Per active user vs per embed vs per query pricing, what is honest?
Looker post-Google, is it still credible for new embed builds?
Glossary
- Embedded analytics
- Customer-facing dashboards and metrics embedded inside a SaaS product. Distinct from BI (internal teams) and product analytics (user behaviour).
- Semantic layer
- A layer mapping raw data to business concepts (metrics, dimensions). Cube, GoodData, LookML, and dbt Semantic Layer are examples.
- Multi-tenancy
- Architecture where a single application instance serves multiple customers (tenants) with isolated data. Almost always implemented in embedded analytics via row-level security keyed on a tenant identifier.
- White-label
- Embedded analytics with no vendor branding visible to the end customer; theming, fonts, and logos are the ISV's. Sometimes priced as an add-on.
- Row-level security (RLS)
- Policy that restricts which rows in a dataset a given user can see, typically driven by a tenant identifier passed in an embed signing token.
- ISV
- Independent Software Vendor. The buyer persona for embedded analytics; building a SaaS product that needs customer-facing dashboards.
Final word
See the full intelligence profile for any product on this page, including verified pricing, vendor trust scores, and review patterns. Browse the Embedded Analytics Software category page →
Last updated 2026-05-23. Pricing data is reverified quarterly. Found something inaccurate? Tell us.