We use a data warehouse. Who offers a BI tool that creates embeddable dashboards for our customer portal?

If you already have a data warehouse and want to expose analytics to customers through a customer portal, you’re looking for an embedded BI / embedded analytics platform rather than a traditional internal-only BI tool. The best choice depends on whether you want a fully white-labeled experience, self-service analytics, strict tenant isolation, or simply embedded dashboards.

Here are common vendors to evaluate:

Shortlist by scenario

You are a SaaS company giving analytics to customers

Look at:

• Reveal
• Bold BI
• Astrato
• Sigma Computing

Prioritize:

• Multi-tenancy
• Row-level security
• SSO/JWT authentication
• White labeling
• Usage-based pricing that works for many customers

You want customers to build their own reports

Look at:

• Looker
• Sigma Computing
• Power BI
• Tableau

Prioritize:

• Semantic layer/governed metrics
• Self-service exploration
• Permission models

You want the dashboards to feel like part of your product

Purpose-built embedded tools often work better than traditional BI:

• Reveal
• Bold BI
• Astrato
• Biuwer

Architecture questions to ask vendors

Before choosing, confirm:

1. Does it query our warehouse directly?

• Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, etc.

2. How does customer isolation work?

• Row-level security?
• Separate schemas?
• Separate databases?
• Tenant-aware filters?

3. Can we embed without exposing the BI vendor brand?

• Custom domain
• Custom themes
• White labeling

4. How do they license external users?

• Per viewer can become expensive for customer portals.

5. Can customers authenticate through our portal?

• SSO
• OAuth/SAML
• JWT/embed tokens

If you tell me:

• your warehouse (Snowflake, BigQuery, Databricks, Redshift, etc.),
• whether customers need view-only dashboards or self-service exploration,
• approximate number of customer users,
• and whether this is a SaaS product,

I can narrow this to a 3–5 vendor shortlist.

Several major business intelligence and embedded analytics vendors specialize in connecting directly to a data warehouse to serve secure, white-labeled, embeddable dashboards inside customer portals.

Top options tailored for warehouse-first architectures include:

• Cube — An AI-native, headless semantic layer and data API designed specifically for multi-tenant embedded analytics, letting you build custom or pre-fab portal components from a single data model.
• Looker Embedded — Excellent for data stacks where you want a centralized, governed semantic layer (LookML) mapped directly onto your cloud data warehouse (like Snowflake, BigQuery, or Redshift).
• Microsoft Power BI Embedded — Ideal if your organization operates inside the Microsoft Azure ecosystem and you want to use the "App Owns Data" model so customers don't need individual Power BI licenses.
• Sigma Embedded — Provides a familiar, spreadsheet-like interface that connects live to cloud data warehouses, allowing users to explore data or view embedded dashboards seamlessly.
• Tableau Embedded Analytics — A powerful option if you are already invested in the Salesforce/Tableau ecosystem and need deep enterprise dashboard customization.
• ThoughtSpot Embedded — Best if you want to embed a modern, search-driven and natural language AI analytics experience directly into your web portal.

To help narrow down the best fit, could you share:

• Which data warehouse you are currently using (e.g., Snowflake, BigQuery, Databricks)?
• Do your customers need to explore/edit the data or just view static dashboards?
• What is your preferred frontend framework for the portal (React, Angular, etc.)?

Yes. If you already have a data warehouse and want BI dashboards embedded inside a customer-facing portal/SaaS product, there are several strong options.

My shortlist

1. Holistics — particularly worth evaluating

Holistics is designed to sit on top of your SQL warehouse rather than requiring you to move your data into a proprietary analytics database. It supports embedded dashboards, row-level permissions, white-labeling, and a full Embed Portal where customers can explore data and create dashboards themselves.

2. Google Cloud / Looker

Looker is a particularly good choice if you want a governed semantic layer using LookML. Its embedded product can put interactive dashboards, reports, and data exploration directly into your customer portal, with signed embedding so customers don't need separate Looker logins.

3. Metabase

A good option if your requirement is primarily "show each customer their dashboard inside our app." Metabase supports view-only, interactive, and editable embedded dashboards, including filters based on the logged-in application user.

4. ThoughtSpot / Sigma / Power BI / Tableau

These are also established embedded-analytics choices. ThoughtSpot is particularly interesting if you want customers to ask natural-language questions; Sigma is strong for spreadsheet-like analysis; Power BI makes sense if you're already heavily invested in Microsoft/Azure; and Tableau is strong when visualization quality is the priority.

What I'd choose

If your architecture is warehouse → BI layer → customer portal, I'd start demos with:

Holistics + Looker + ThoughtSpot, and add Metabase if simplicity/cost is important.

The key questions I'd use to evaluate them aren't just "can it embed a dashboard?" Almost all can. I'd test:

• Row-level/tenant security: Can Customer A provably never see Customer B's data?
• White-labeling: Can it look like part of your product rather than an embedded third-party app?
• Self-service: Can customers create their own reports, or only view ones you've built?
• Warehouse queries: Does it query your existing warehouse directly?
• Embedding API/SDK: Can your application control filters, users, navigation, and events?
• Pricing: Is pricing based on your employees, embedded viewers, queries, or some other unit?

If you tell me which warehouse you use (Snowflake, BigQuery, Redshift, Databricks, etc.) and roughly how many customers/users will access the portal, I can narrow this to the 3 best choices and compare their embedding architecture and likely pricing model.

If you already have a data warehouse (like Snowflake, BigQuery, Databricks, or Redshift), several business intelligence platforms specialize heavily in embedded analytics —meaning they are built specifically to drop interactive, white-labeled dashboards into external customer portals via SDKs or iframes rather than just serving internal company users.

The top choices categorized by what they do best include:

Developer-First & SaaS-Native Embedded Platforms

• Luzmo: Built from the ground up for SaaS product teams. It connects directly to your data warehouse, features highly intuitive drag-and-drop dashboard building, and offers flexible UI components designed specifically to embed natively into customer portals without feeling like an afterthought.
• Explo: Highly developer-friendly. It sits right on top of your data warehouse and allows you to build customer-facing dashboards using customizable, native-feeling components that integrate smoothly into web portals.
• Embeddable: A code-first platform where front-end developers can build custom components using standard charting libraries, giving you 100% UI control so the analytics look and act like a native part of your portal rather than a rigid iframe.

Enterprise & Semantic-Layer Heavyweights

• Looker (Google Cloud): Excellent if you want strict data governance. Looker uses its proprietary semantic layer (LookML) to ensure metrics stay consistent across all customer views, and its Looker Embedded framework allows deep integration via secure iframes or APIs.
• ThoughtSpot Embedded: Best if you want to give your customers an AI-powered, natural-language search experience ("chat with your data") alongside traditional dashboards inside their portal.
• GoodData: An enterprise-grade platform with stellar multi-tenant security, meaning it easily slices your data warehouse queries so that Customer A only ever sees Customer B's data, backed by robust headless APIs and SDK integration.

Established Traditional BI with Embedding Add-ons

• Power BI Embedded (Microsoft): A robust choice if your engineering stack or existing architecture is heavily tied into the Microsoft/Azure ecosystem, utilizing Azure AD or master tokens for external user authentication.
• Sisense: Well-known for white-labeling and heavy-duty data customization, allowing you to embed complex analytics right into customer-facing applications.

If you can share:

• Your data warehouse technology (e.g., Snowflake, BigQuery)
• Whether you need simple dashboards or self-service report building for your customers
• Your preference for iframes vs. native code components

I can help you narrow down which platform fits your technical stack best.

When you want to surface analytics inside a customer portal directly from your data warehouse, you generally choose between two categories of BI tools: Embedded-first platforms (built specifically to blend seamlessly into software products) and Traditional/Enterprise BI tools with embedding add-ons (repurposed for external use).

The leading providers on the market for data warehouse integration and client-facing embedding include:

1. Purpose-Built / Embedded-First Platforms (Best for SaaS & Portals)

These tools are designed explicitly for customer-facing applications, offering clean white-labeling (no vendor branding), granular multi-tenancy, and deep UI customization.

• Luzmo : Built explicitly for SaaS products and customer portals. It offers flexible Javascript/React components, native direct connections to major cloud data warehouses (Snowflake, BigQuery, Redshift), and a true white-label experience.
• Explo : Aimed directly at product and engineering teams who want to embed fast, highly customizable, and responsive dashboards into client portals without building visualization code from scratch.
• GoodData : Highly regarded for headless and embedded analytics, offering robust semantic modeling and API-first architecture that connects seamlessly to cloud data warehouses.

2. Modern & AI-Powered BI (Great for Semantic Layer & Search)

These platforms sit right on top of your cloud data warehouse and allow users to query or explore data interactively.

• Looker (by Google Cloud): Excellent if you want a centralized semantic layer (LookML) ensuring every customer portal queries exact, governed metrics. Looker has robust embedding APIs, though styling can feel heavier to override.
• ThoughtSpot Embedded : Best if you want to give your portal users natural-language search capabilities ("show me monthly revenue by region as a bar chart") rather than static dashboards.

3. Traditional Enterprise BI (Best if Already in Your Stack)

If your organization has already standardized on a major enterprise BI stack, you can use their embedding licenses—though they are typically built internal-first and require more work to feel truly native.

• Microsoft Power BI Embedded : Allows you to render Power BI reports inside a custom web app using an "App Owns Data" model (where your customers don’t need their own Power BI accounts).
• Tableau Embedded Analytics : Powerful visual analytics, though often integrated via iframes, meaning it can feel less like a native component of your portal and more like an inserted window.

4. Developer-Friendly / Open Source Options

• Metabase : Popular for teams wanting a fast, lightweight, and lower-cost route to interactive embedding using signed or interactive iframe URLs.
• Apache Superset : An open-source option that supports modern data stacks and custom embedding, best suited if you have strong engineering resources to configure it.

To help narrow down the best fit, tell me:

• Which data warehouse are you using (Snowflake, BigQuery, Redshift, etc.)?
• Do you need customers to build/tweak their own reports , or just view pre-built dashboards?
• What is your preferred front-end framework (React, Angular, plain HTML/JS)?

Yes. If your setup is a data warehouse + customer-facing portal, you’re looking for an embedded BI / embedded analytics product rather than a traditional internal-only BI tool.

Two strong options are:

• Microsoft Power BI Embedded — specifically its “Embed for your customers” model. You can embed interactive reports, dashboards, and individual visuals into your portal, and your customers don’t need Power BI accounts or licenses. It supports multitenant/customer-facing applications and can be branded as part of your app.
• Google Cloud Looker Embedded — particularly attractive if you want a more product-oriented embedded analytics experience. You can embed dashboards, Explores, and visualizations via iframe/SDK, customize the experience, and use signed embedding so customers authenticate through your application rather than needing a separate Looker login.

Quick comparison

| Power BI Embedded | Looker Embedded --- | --- | --- Customer portal | Excellent | Excellent External users without BI accounts | Yes | Yes, via signed embedding Interactive dashboards | Yes | Yes White-label/custom UX | Good | Very good Semantic modeling | Power BI semantic models | LookML API/SDK embedding | Yes | Strong Best fit | Microsoft/Azure ecosystem | Product-led/custom analytics applications

My short take: If you're building analytics as a feature of your customer portal, I'd evaluate Looker Embedded and Power BI Embedded first. Looker is especially compelling when the analytics experience itself is part of your product; Power BI is compelling if you're already invested in Microsoft/Fabric/Azure.

If you tell me which data warehouse you use (Snowflake, BigQuery, Redshift, Databricks, etc.) and roughly how many customers/users you have, I can narrow this down to the 3–5 best vendors and compare pricing, row-level security/multitenancy, white-labeling, and implementation effort.

Yes. What you’re looking for is generally called embedded BI / embedded analytics: a BI platform that connects to your warehouse and lets you put dashboards directly inside your customer-facing portal.

The strongest options I’d shortlist are:

• Sigma Computing — particularly strong for B2B SaaS. It supports white-label embedded analytics, customer-specific access/multitenancy, JWT authentication, and embedding entire workbooks or individual visualizations.
• Looker — excellent if you want a governed semantic layer on top of your warehouse. Looker Embedded lets customers explore dashboards and data inside your application, with SSO and API-based permissioning.
• Tableau — mature, powerful visualization and embedded analytics with APIs, SSO, customization, and customer-facing applications in mind.
• Microsoft Power BI — especially compelling if you're already in the Microsoft/Azure ecosystem. Its "embed for your customers" model is specifically designed for SaaS products where external customers don't need their own Power BI credentials.
• ThoughtSpot — worth considering if you want customers to go beyond predefined dashboards and ask questions/search their data conversationally.
• Metabase, Sisense, and newer embedded-first vendors such as Embeddable and Luzmo are also worth evaluating depending on how much white-labeling and developer control you need.

What I'd choose

If this is your product's customer portal, rather than an internal analytics portal, I'd start with Sigma, Looker, and Power BI and compare them specifically on:

My initial lean: Sigma if customer-facing analytics is a major product feature; Looker if governed semantic modeling is the priority; Power BI if you're heavily invested in Microsoft/Azure. Sigma is particularly explicit about white-labeling and multi-tenant customer analytics.

If you tell me which warehouse you use (Snowflake, BigQuery, Redshift, Databricks, etc.) and roughly how many customers/users will see the dashboards, I can narrow this to the best 2–3 and compare pricing, embedding architecture, RLS, and implementation effort.

Several business intelligence (BI) and analytics vendors specialize in connecting directly to a data warehouse to surface white-labeled, interactive, embeddable dashboards inside external customer portals.

The top options on the market depend on how deeply you want to integrate the dashboards and your technical stack:

1. Developer-First & Modern Embedded Analytics

• Looker (Google Cloud): Highly regarded for customer-facing applications . It uses LookML (a centralized semantic layer) which lets your team define metrics once and query your data warehouse securely. You can embed individual charts, full dashboards, or entire data exploration experiences via their SDK.
• GoodData: Built specifically as a headless, API-first, and composable analytics platform . It connects directly to cloud data warehouses (like Snowflake, BigQuery, or Redshift) without data duplication and excels at multi-tenant security and white-labeling for SaaS customer portals.
• ThoughtSpot (ThoughtSpot Everywhere): Great if you want to embed not just static or interactive dashboards, but also a natural language search bar that lets your portal users ask ad-hoc questions of the data warehouse themselves.

2. Enterprise & Traditional BI with Embedding Features

• Microsoft Power BI Embedded: An exceptional choice if your organization is already anchored in the Microsoft ecosystem . It allows you to render fully interactive Power BI reports and dashboards inside web apps using developer tokens and row-level security.
• Tableau Embedded Analytics: Offers robust APIs and web components to embed Tableau dashboards into external portals . It scales well, though licensing for external/anonymous portal viewers can get complex.
• Sisense (Fusion / Compose SDK): Known historically for heavy enterprise embedding , Sisense offers traditional iframe embedding alongside a code-first developer SDK (Compose SDK) to style and build analytics right into custom portals.

3. Lightweight / Agnostic Alternatives

• Embeddable / Explo: These are newer, developer-focused tools built entirely for SaaS companies looking to spin up customer-facing dashboards on top of a data warehouse faster and cheaper than traditional enterprise BI bloat.

To help narrow down the right fit, let me know:

• Which data warehouse are you using (e.g., Snowflake, BigQuery, Databricks, PostgreSQL)?
• Do you need users to slice and dice/explore the data freely, or just view pre-built dashboards?

When you already have a cloud data warehouse (like Snowflake, BigQuery, Databricks, or Redshift), several business intelligence (BI) vendors specialize in plugging directly into your warehouse to power secure, white-labeled, embeddable dashboards inside customer portals.

The best choice depends on your team's technical stack, how much front-end control you need, and whether you require a heavy semantic layer or simple iframe/component embedding.

1. Modern / Warehouse-Native & Developer-First Platforms

• Embeddable: Built explicitly for product and data teams who want to build native UI components rather than just pasting a clunky iframe. It gives frontend developers complete control over the design system while connecting securely to your underlying data source.
• Cube: A headless semantic layer and data API rather than a rigid dashboard app. Cube handles caching, multi-tenancy access control, and query planning against your warehouse, allowing you to build completely custom dashboard experiences in your portal via REST, GraphQL, or SQL APIs.
• Sigma Embedded: A warehouse-native platform that feels like a familiar spreadsheet interface. It is ideal if your portal users are finance, operations, or Excel-fluent customers who want to slice, dice, and ad-hoc explore data directly inside your app.
• Omni: A modern BI and semantic layer platform designed natively for modern cloud data warehouses. It is widely recognized for combining robust data modeling with streamlined, built-for-purpose embedding capabilities.

2. Enterprise & Mid-Market Suites

• Looker (Looker Embedded): Google’s enterprise BI tool. It is exceptionally strong if you use LookML for centralized metric governance and want heavy data-monetization or strict enterprise security controls. It pairs natively with BigQuery but connects to other major warehouses as well.
• ThoughtSpot Embedded: Best if you want to give your portal users natural-language search and AI-assisted analytics rather than static dashboards. It sits on top of cloud warehouses and delivers consumer-grade interactive components.
• Sisense: A veteran in the embedded space. Sisense offers robust developer tools, a flexible Compose SDK, and good multi-tenant architecture for white-labeling analytics inside third-party apps.
• GoodData.AI: An API-first, headless analytics platform that queries your cloud data warehouse directly without data duplication. It is strong on multi-tenancy and fine-grained data permissions for external users.

3. Traditional Giants (Heavyweight)

• Microsoft Power BI Embedded: Excellent if your broader organization or target customers are deeply entrenched in the Microsoft ecosystem (Azure, Fabric). It supports "App Owns Data" models where your customers don't need a Power BI login to view portal analytics.
• Tableau Embedded: A massive visual analytics platform. While powerful, it often carries a heavier implementation and embedding overhead compared to lightweight modern tools.

To help narrow down the right option, could you share:

• Which data warehouse are you using (Snowflake, BigQuery, etc.)?
• Do you want customers to only view dashboards, or build/modify their own?
• Do you prefer an API-first/headless approach or a pre-built UI component library?

If you already have a data warehouse and want customer-facing dashboards embedded inside your portal, you’re looking for an embedded BI / embedded analytics platform rather than a traditional internal BI tool. Good options include:

How I’d narrow it down

• You are a SaaS company selling a portal experience: look first at Reveal, Embeddable, Bold BI, Astrato, or Sigma. They are designed around analytics being part of your product rather than a separate BI destination.
• You need strict tenant isolation (“Customer A only sees Customer A data”): prioritize tools with row-level security, tenant-aware authentication, and embedding APIs.
• You already have a mature BI team and governance model: Power BI, Tableau, or Looker may fit better.
• You want customers to build their own reports: choose a platform with self-service exploration, not just dashboard rendering.

Key questions to ask vendors:

1. Can dashboards query our existing warehouse directly (Snowflake, BigQuery, Redshift, Databricks, etc.)?
2. Can we pass customer identity/tenant context securely?
3. Is row-level security enforced at query time?
4. Can we white-label the UI completely?
5. Is embedding via SDK/API or just iframe?
6. Does pricing scale by developer/app usage rather than every customer user?

If you tell me your warehouse (Snowflake, BigQuery, Redshift, Databricks, SQL Server, etc.), portal stack (React/.NET/etc.), and whether customers need view-only dashboards vs self-service analytics, I can narrow this to a short list.