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

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.

When your data lives in a cloud data warehouse (like Snowflake, BigQuery, or Databricks) and you want to securely display customer-facing, multi-tenant dashboards inside a web portal, you need an embedded analytics tool that natively queries your warehouse without forcing you to duplicate or ETL data elsewhere.

The market divides into warehouse-native disruptors, modern developer kits, and traditional enterprise BI giants with robust embedding modes.

• Sigma Computing: Best if your customers want a spreadsheet-style, highly interactive analytical interface. Sigma is warehouse-native—it pushes all queries directly down to your cloud warehouse, meaning you don’t need a separate data model or cube. Its Sigma Embedded solution handles row-level security (RLS) cleanly so customers only see their own data.
• Looker (Google Cloud): Best for enterprise-grade semantic governance. Looker connects directly to any major warehouse and uses its proprietary modeling language (LookML) to define metrics centrally. Looker Embedded lets you white-label and embed fine-grained dashboards or individual visualizations securely via APIs.
• ThoughtSpot Everywhere: Best if you want to embed consumer-grade, AI-powered natural language search alongside dashboards. Instead of forcing users to click through fixed filters, ThoughtSpot sits directly on top of your cloud warehouse and lets your portal users query data in plain English.
• Microsoft Power BI Embedded: Best if you are already rooted in the Azure/Microsoft ecosystem. Power BI embedded analytics uses an "App-owns-data" model so your portal users don’t need individual Power BI licenses to view reports, though it requires more front-end and back-end dev work via its JavaScript and REST APIs.
• Luzmo / Embeddable / Cube: Best for developer-first, lightweight embedding. These platforms are purpose-built strictly for embedding into web apps (using React/Vue components) rather than being traditional internal BI tools that retrofitted an iframe option later. They provide fast rendering and precise cost predictability.
• Metabase: Best for an agile, cost-effective or open-source starting point. Metabase supports multi-tenant embedded analytics and interactive dashboards, making it popular for teams that want quick deployment without heavy enterprise overhead.

To help narrow down the best fit, tell me:

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

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

If I were evaluating this for a customer portal, I'd start with:

1. Sigma — probably the most interesting option if your warehouse is Snowflake/Databricks/BigQuery and you want analytics to feel like a product feature rather than a separate BI application. It has explicit support for multitenant customer applications.

2. Looker — excellent if governance, a semantic layer, consistent metrics, and developer control are priorities. Its embedded product is explicitly designed for OEM/white-label scenarios.

3. Power BI Embedded — worth serious consideration if you're already invested in Microsoft/Azure/Power BI or have a team comfortable with the Microsoft ecosystem.

4. ThoughtSpot — I'd put this near the top if the differentiator is letting your customers explore their own data, including search/AI, rather than simply showing them dashboards.

One important distinction: “embedded BI” can mean either embedding a BI vendor's dashboard in an iframe, or building analytics that genuinely look and behave like part of your product. If the latter is your goal, I'd pay particular attention to Sigma, Embeddable, Looker, and ThoughtSpot rather than choosing solely based on traditional BI features.

If you tell me which warehouse you use (Snowflake, BigQuery, Databricks, Redshift, etc.) and roughly how many customer tenants/users you have, I can narrow this to the best 2–3 and compare pricing model, multitenancy/RLS, white-labeling, embedding architecture, and developer effort.

Yes. If your data already lives in a warehouse and you want customer-facing dashboards embedded inside your portal, I’d shortlist these:

My recommendation

For a SaaS customer portal, I'd start with Sigma and ThoughtSpot, then evaluate Looker if governance/semantic modeling is the priority.

Sigma is particularly compelling when your warehouse is the source of truth. It supports white-label embedded analytics, JWT-based secure embedding, customer-specific access controls, multitenancy, and interactive dashboards—not just static charts. www.sigmacomputing.com There's even a current example of a company using Sigma on Databricks specifically for real-time, customer-facing dashboards.

The important architectural question isn't just "Can it embed a dashboard?" Nearly all of these can. I'd compare them on multi-tenant row-level security, white-labeling, warehouse query performance/cost, authentication, dashboard authoring, and whether customers can explore beyond the predefined dashboards.

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

Several major business intelligence (BI) platforms specialize in connecting directly to a cloud data warehouse (like Snowflake, Google BigQuery, or Amazon Redshift) and offering developer toolkits or SDKs to embed interactive, multi-tenant dashboards safely inside a customer portal . Top options include:

• Power BI Embedded by Microsoft allows you to integrate fully interactive reports and white-labeled dashboards into your web application using app-owns-data developer architectures.
• Looker by Google Cloud uses LookML as a centralized semantic modeling layer, making it robust for embedding secure, highly governed analytics directly into external portals.
• Astrato is a modern, cloud-native analytics platform featuring a live-query architecture that connects straight to your data warehouse with native multi-tenancy and row-level security mapping.
• Embeddable provides developer-first tools and custom web components so you can build native-feeling, high-performance dashboards and self-serve capabilities inside your app.
• Domo Everywhere offers extensive white-labeling and embedding capabilities (via iframes, APIs, or custom components) to safely surface warehouse data or Domo datasets to external clients.
• GoodData provides headless and embeddable BI building blocks tailored for multi-tenant SaaS applications and customer-facing data portals.

If you can share which data warehouse you use (e.g., Snowflake, BigQuery) and whether your customers need just to view reports or build their own custom views , I can help narrow down the best tool match.

Yes. If you already have a cloud data warehouse and want customer-facing dashboards embedded inside your portal, several BI/embedded-analytics vendors fit well:

My short list

For a SaaS customer portal, I'd put Sigma and ThoughtSpot at the top of the evaluation.

Sigma is especially compelling if your warehouse is the source of truth. It can embed full workbooks or individual visualizations, supports secure JWT-based embedding, custom branding, React integration, and multi-tenant security. It also queries the warehouse directly rather than requiring you to maintain a separate analytics copy.

ThoughtSpot is worth a close look if you want customers to go beyond predefined dashboards—e.g., search in natural language, ask follow-up questions, and explore data themselves. Its Visual Embed SDK is designed specifically for integrating analytics into an application.

The biggest architectural question isn't just "which BI tool has embedding?" It's how you isolate Customer A's data from Customer B's data, while allowing your application to control authentication and permissions. Sigma, for example, explicitly supports multi-tenant isolation and warehouse-level security patterns.

If you tell me which warehouse you use (Snowflake, BigQuery, Databricks, Redshift, etc.) and roughly how many customer tenants/users you have, I can narrow this to the 2–3 best choices and compare embedding, RLS, white-labeling, pricing model, and engineering effort.

Many major business intelligence platforms offer robust developer kits and APIs specifically designed to embed secure, white-labeled dashboards directly into customer-facing portals while connecting live to a data warehouse . Top solutions specialized for this use case include Microsoft Power BI Embedded, Looker Embedded, Sigma, Metabase , and Bold BI.

Dedicated Embedded & Warehouse-Native BI Platforms

• • Sigma : Built explicitly for cloud data warehouses (like Snowflake, Databricks, BigQuery), letting you embed live, spreadsheet-like interactive dashboards and pivot tables that query your warehouse directly.
• • Metabase : Highly developer-friendly and lightweight, offering an open-source core alongside commercial embedding options that allow you to easily iframe or API-integrate charts into Node/React portals.
• • Bold BI : Tailored specifically for SaaS and client-facing portals with robust multi-tenant support, white-label branding, and granular role-based access control.
• • Astrato : A modern, data-warehouse-native analytics platform focused heavily on high-performance, white-labeled customer-facing embedding and live query execution.

Enterprise BI Giants with Embedding Capabilities

• • Microsoft Power BI : Uses an "App Owns Data" model via Power BI Embedded so your portal users don’t need individual Microsoft licenses to view embedded reports.
• • Looker (Google Cloud) : Excellent for centralized metric governance, allowing deep component-level embedding via APIs and secure SSO integration.
• • Tableau Embedded : Provides seamless visual integration and robust interactive dashboard embedding via connected tokens and developer SDKs.

If you can share which data warehouse you are using (e.g., Snowflake, BigQuery, Postgres) and roughly how many end-users/customers will need access, I can recommend the most cost-effective and performant option for your stack.