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Tableau Embedded vs Power BI Embedded for embedded analytics

Weighing Tableau Embedded against Power BI Embedded? Both are capable BI platforms, priced by user or by capacity. Databrain is the developer-friendly alternative built for SaaS: ship in days, scale to every tenant, pay one flat price. See how all three compare.

Last updated

Short answer

Choose Power BI Embedded if

  • Your team already models in Power BI and DAX and wants to reuse those semantic models and reports, including embedded paginated reports.
  • You are invested in Microsoft and Fabric and want one capacity and licensing estate across internal BI and embedded analytics, including Microsoft 365 surfaces.
  • You want hourly capacity pricing with published A SKU prices that you can pause when idle.

Choose Tableau Embedded if

  • Your analysts already build in Tableau and you want customers to see the same workbooks and data sources.
  • You need fine control of the viz from code (events, filters, parameters, marks, data from the view) or Tableau's connector breadth.
  • You need Tableau Cloud's compliance list (HIPAA and PCI-DSS 4.0, plus ISO 27001 and SOC 2 and 3 per Tableau), or a self-managed Tableau Server.

Choose Databrain if

  • The analytics is part of your product and has to look like it: Databrain renders as web components in your page, with white-labeling and per-customer themes on every plan.
  • You run a multi-tenant SaaS and want tenant scope to come from a guest token on one data app, not from workspaces, sites or per-tenant roles you build and operate.
  • You want a flat, published monthly price (Growth $999/mo, Pro $1,995/mo) with unlimited seats, embeds and tenants, instead of sizing capacity or licenses.

Keep Power BI or Tableau for internal reporting if it already works there. Neither choice rules out Databrain: it can serve the customer-facing layer while the incumbent stays internal.

Two teams moved customer-facing analytics from Power BI to Databrain

No published Databrain case study replaced Tableau, so this is the closest evidence we have: two teams that replaced Power BI for customer-facing analytics. Figures and quotes are taken from each published case study. Two customers is a small sample, so read the fit section for who should stay on Power BI or Tableau.

Read both stories

At a glance

The short version of Power BI Embedded, Tableau Embedded and Databrain side by side.

Power BI Embedded, Tableau Embedded and Databrain at a glance
Power BI EmbeddedTableau EmbeddedDatabrain
Built forMicrosoft's BI platform, with an embed-for-your-customers option typically used by ISVsA visual analytics platform with desktop and web authoring, sold hosted or self-managed, with an Embedded Analytics license for external audiencesMulti-tenant B2B SaaS products embedding customer-facing analytics
How it embedsAn iframe driven by the powerbi-client library, with official React and Angular wrappersEmbedding API v3 web components that host the view in an iframeWeb components (Shadow DOM) for React, Next.js, Angular, Vue, Svelte, Solid and vanilla JS
How tenants are scopedYou design it: workspace per tenant, or a shared model with RLS roles, managed with service principal profilesSites and projects, with user filters or JWT user attributes inside a siteclientId in a server-minted guest token; one data app serves every tenant
Who needs a licenceApp users need no Power BI licence; users who publish content need Power BI ProRole licenses, or for external viewers a usage-based license (per analytical impression) or capacity-based Viewer BlocksUnlimited seats on every plan
Pricing modelCapacity billed hourly: A1 at $735.913/month, Fabric F2 at $262.80/month pay as you goPer-user roles at published prices; embedded usage or capacity by quote; annual contractFlat and published: $999/mo Growth, $1,995/mo Pro, Enterprise custom
Query modelImport, DirectQuery or Composite semantic modelsLive connections or extractsLive queries against your warehouse
DeploymentA capacity (A, EM, P or F SKU) you provisionTableau Cloud in a chosen region, or self-managed Tableau ServerDatabrain cloud, or self-hosted on Enterprise
Typical time to productionDepends on your build; Microsoft's pages give no figureDepends on your build; Tableau's pages give no figure2 to 4 weeks for most teams; EpochOS 2 weeks, BerryBox 3 weeks

What Power BI Embedded, Tableau Embedded and Databrain are

Power BI Embedded

Power BI Embedded is Microsoft's offering for embedding Power BI reports, dashboards and paginated reports in your own application.

In the embed-for-your-customers model (app owns data), your app authenticates to Power BI with a service principal or master user, so your customers do not sign in to Power BI or need a licence. Embedding in production requires a capacity (A, EM, P or F SKU).

Tableau Embedded

Tableau is a visual analytics platform sold as Tableau Cloud (hosted) and Tableau Server (self-managed), licensed by Creator, Explorer and Viewer roles. For external audiences it offers an Embedded Analytics license, the Embedding API v3 and connected apps for sign-in.

Around it sit Tableau Prep, Tableau Pulse (a metrics layer that can be embedded) and Tableau Agent on its premium editions.

Databrain

Databrain is an AI-native embedded analytics platform for B2B SaaS. You connect your warehouse with read-only access, define metrics, mint a guest token from your backend, and place a web component in your app.

Dashboards are white-labeled, and customers can ask questions in natural language.

Key differences in one minute

Where the analytics lives

Power BI and Tableau both host the view in an iframe that their JavaScript library controls: powerbi-client with React and Angular wrappers on one side, Embedding API v3 web components on the other. Databrain mounts web components inside Shadow DOM in your page.

How a tenant gets its data

Power BI gives you a workspace per tenant or a shared model with RLS roles, managed with service principal profiles. Tableau gives you a site per tenant, or user filters and JWT user attributes inside a site. Databrain passes a clientId in the guest token and one data app serves every tenant. All three isolate tenants; the difference is what you plan and operate.

What the bill tracks

Power BI Embedded and Fabric bill capacity by the hour, and a capacity can be paused. Tableau lists per-user role prices and quotes usage-based or capacity-based licensing for external viewers, under an annual contract. Databrain charges a flat monthly fee by feature.

What each is optimized for

Power BI is a full BI platform: DAX, in-memory Import models, paginated reports and a visual marketplace. Tableau is authoring first: Creators build workbooks and data sources in Desktop, Prep or the browser, and the embed shows them. Databrain is a narrower embedding layer that queries your warehouse live.

Natural language for end customers

Copilot in Power BI requires a paid Fabric F2 or Power BI Premium P1 capacity or higher. Tableau Pulse embeds metrics with AI insights and Tableau Agent is listed on Cloud+, while Ask Data was retired. Databrain includes natural-language search on every plan.

Feature comparison

Nineteen capabilities that decide a customer-facing analytics build, Power BI Embedded against Tableau Embedded, with Databrain as the third column. Power BI cells cite Microsoft's own documentation and pricing pages, Tableau cells cite Tableau's help, pricing pages and Playbook, all opened on 22 October 2026. Databrain cells cite our pricing page, product docs and Trust Center. Where Power BI or Tableau is stronger, the cell says so.

Power BI Embedded, Tableau Embedded and Databrain: 19 capabilities
CapabilityPower BI EmbeddedTableau EmbeddedDatabrain
Embedding and branding
Partial: Iframe with a JavaScript APIPartial: Web components that host the view in an iframeYes: Web components in your page
Partial: Theme JSON and container CSSPartial: Toolbar, tabs, buttons, device layout and iframe stylingYes: White-labeling and per-customer themes on every plan
Yes: JavaScript API: filters and eventsPower BI Embedded leads hereYes: Filters, parameters, events, marks and view dataTableau Embedded leads herePartial: Component options; programmatic filters from Pro
Yes: JS client plus React and Angular wrappersYes: JavaScript module and web components for any web pageYes: Seven framework guides
Identity and tenancy
Service principal or master user, then an embed tokenConnected apps (JWT), OAuth 2.0 trust or unified access tokensGuest token minted by your backend
Partial: Workspace per tenant, or shared model with RLSPartial: Site per tenant, or user filters and attributesYes: One data app; the tenant comes from the token's clientId
Yes: DAX roles, static or dynamicPower BI Embedded leads hereYes: User filters, user attributes or database securityTableau Embedded leads herePartial: Tenant filter on every plan; row and column security on Enterprise
Partial: No licence for app users; Pro for publishers; capacity neededPartial: On-demand access, Cloud only, usage or capacity (Cloud+ or Tableau+) licensingYes: Unlimited seats; access by guest token
Data, modeling and AI
Yes: Import, DirectQuery, CompositePower BI Embedded leads hereYes: Many connectors, live or extractTableau Embedded leads herePartial: Live queries only; caching from Pro
Yes: DAX in a full modeling layerPower BI Embedded leads hereYes: Tableau Desktop, Prep Builder and web authoringTableau Embedded leads herePartial: Builder, custom SQL, Python and SQL environment

How multi-tenancy and security work

Tenant isolation is the hardest part of customer-facing analytics, and the three products solve it in different places. Power BI puts it in the semantic model and workspace layout. Tableau puts it in sites, then filters or user attributes. Databrain puts it in the token and the generated query.

Power BI Embedded

Microsoft documents two ways to serve many customers. One is a workspace per customer, with service principal profiles to create and manage that content at scale. The other is a shared semantic model with row-level security roles written as DAX filters, either static or dynamic through username() or userprincipalname(). Both are documented patterns.

Two details matter for a multi-tenant build. First, Microsoft states a service principal without profiles is limited to 1,000 workspaces, and a profile can access or create up to 1,000, with up to 100,000 profiles per service principal. Second, when RLS applies and no effective identity is passed, token generation fails for a service principal but succeeds for a master user with the data unfiltered, so the identity you pass is a security-critical input.

Tableau Embedded

Tableau's Playbook says sites act as a logical firewall: users on one site cannot learn about users or content on another. For a multi-tenant Tableau Server it recommends one site per tenant as the only bullet-proof method, with projects and permissions separating groups inside a site.

Inside a site, the Playbook gives three row-level methods: clone a template workbook per tenant database with the Document API, use user filters when tenants share a database, or use Initial SQL with in-database security on live connections. The Embedding API adds user attributes: your server puts a value such as a region or tenant in the JWT, and a workbook author reads it with USERATTRIBUTE() or USERATTRIBUTEINCLUDES() in a filter. Tableau warns that users can decode the JWT, so attributes should hold only information you do not mind exposing.

Tableau Cloud's edition table lists up to 3 sites on Standard, 10 on Enterprise and 50 on Cloud+, so ask Tableau how many tenant sites your contract allows before you plan one site per tenant.

Databrain

Your backend mints a guest token that carries the tenant clientId. The embed sends that token with each request. Databrain looks it up server-side, checks expiry, permissions and the allowed origin, then generates SQL with the tenant filter applied before the query reaches your warehouse. One data app serves every tenant, and extra per-session constraints go in rlsSettings.

One sharp edge: in custom SQL metrics the tenant filter is not auto-injected, so the author must reference the tenant variable. A custom metric that omits it runs unscoped. Client dashboards created by import or clone are copies, so later edits to the master do not propagate.

Databrain's Trust Center lists SOC 2 and GDPR as compliant and ISO 27001 as in progress; HIPAA is listed as coming soon on our pricing page. Microsoft and Tableau both list longer compliance coverage, in the comparison table above.

A Power BI Embedded request

  1. Your backend authenticates with a service principal or master user and gets a Microsoft Entra token.
  2. Your backend calls GenerateToken with an effective identity (username and roles) when RLS applies.
  3. Your app embeds the report through the powerbi-client library in an iframe, using the embed token.
  4. The semantic model evaluates the RLS role's DAX filter for that identity.
  5. The report renders on a capacity you provision.

A Tableau request (connected app with user attributes)

  1. Your server signs a JWT with the connected app secret, a scope such as tableau:views:embed, and user attributes such as the tenant.
  2. Your page passes the token to the <tableau-viz> web component.
  3. Tableau scopes the session to the views and projects the connected app allows, and your domain allowlist limits where the content can be embedded.
  4. A user attribute function in the workbook filters the data to the tenant.
  5. The query runs on an extract or a live connection and the view renders.

A Databrain request

  1. Your backend calls the guest-token endpoint with the customer's clientId and your data app name.
    POST /api/v2/guest-token/create
  2. Your app passes the token to the web component.
  3. Databrain looks up the token server-side and checks expiry, origin and permissions.
  4. The generated SQL carries the tenant filter.
  5. The query runs against your warehouse and the result is returned to the component.

All three are real tenant isolation. The difference is whether you plan workspaces and roles, plan sites and workbook filters, or pass a value in a token.

When each is a better fit

All three lists are genuine. If your situation matches the Power BI Embedded or Tableau Embedded side, that is the right call.

Power BI Embedded is the better fit when

  • Your internal analytics already run on Power BI and your team knows DAX.
  • The embedding need is a set of standard reports rather than a differentiated in-product experience, and customers will not mind the Power BI look.
  • You are standardizing on Fabric and want one capacity across the estate, with spend you can pause.
  • You need Import-mode models, paginated reports, the AppSource visual marketplace, Microsoft 365 embedding or write-back.

Tableau Embedded is the better fit when

  • Your analysts already build in Tableau and you want customers to see the same workbooks and data sources.
  • You need fine control of the viz from code: events, filters, parameters, marks and data from the view.
  • You need Tableau's connector breadth, extracts, Prep Builder or the VizQL Data Service.
  • You need Tableau Cloud's compliance list (HIPAA and PCI-DSS 4.0, plus ISO 27001 and SOC 2 and 3 per Tableau), or a self-managed Tableau Server.
  • You want embedded Pulse metrics, or capacity-based viewer licensing for a large external audience.

Databrain is the better fit when

  • The analytics is a feature of your product and has to match its design.
  • You are multi-tenant and onboarding another tenant should be a token, not a workspace, a site or a role to configure.
  • Finance needs a figure it can forecast from a published monthly price, not capacity, impressions or an annual quote.
  • You want metrics built by drag and drop, custom SQL or natural language, without DAX or a desktop authoring tool in the loop.
  • You need self-hosting, VPC peering or a bastion host (Enterprise).

Decision guide

Match your situation to the row, then check the feature comparison for the detail.

Which product fits which situation
If your question isLean towardBecause
Your team already builds in DAX and Power BIPower BI EmbeddedYou reuse semantic models, reports and paginated reports, and Microsoft documents RLS and capacity in depth.
Your analysts already build in TableauTableau EmbeddedTheir workbooks, data sources and skills carry into Tableau's Embedding API and connected apps.
You need to script the viz itselfTableau EmbeddedTableau's Embedding API adds marks, view data and the VizQL Data Service; Power BI's JavaScript API also sets filters and handles events, so compare the specific calls you need
You need paginated reports, a visual marketplace or write-backPower BI EmbeddedThese are documented Microsoft capabilities. The Tableau pages we reviewed do not describe them for embedded use, and Databrain does not offer them.
You need HIPAA, PCI DSS or ISO 27001 on the vendor's list todayEitherMicrosoft lists Power BI in scope for HIPAA, PCI DSS and ISO 27001, and Tableau Cloud's help lists HIPAA and PCI-DSS 4.0. Databrain lists SOC 2 and GDPR as compliant and ISO 27001 as in progress, with HIPAA coming soon.
You want spend that pauses when idlePower BI EmbeddedPower BI Embedded and Fabric capacity can be paused; paused content does not load. Tableau's terms are annual.
The viewer is your customer, not your colleagueDatabrainCustomer-facing embedding, per-customer themes and unlimited seats are what Databrain is built for. Power BI has no per-viewer licence for app users, and Tableau's Embedded Analytics license also targets external viewers, so compare each quote.
Many tenants with self-serve onboardingDatabrainTenant scope comes from a guest token, and one data app serves all tenants. In Power BI you plan workspaces or RLS roles, in Tableau sites, projects and filters.
The dashboard must match your product UIDatabrainWeb components, four theming layers and white-labeling on every plan. Power BI offers theme JSON and container CSS, and Tableau toolbar, tab, button and iframe styling.
You want AI insights for end customersEitherCopilot needs a paid Fabric or Premium capacity, Tableau Pulse embeds metrics with AI insights, and Databrain offers natural-language search on every plan. Compare which interaction your users need.
You need forecastable spend from a published monthly priceDatabrainFlat monthly plans with unlimited seats, embeds and tenants. Power BI bills capacity hourly, and Tableau's embedded usage and capacity prices are by quote.
You need to self-host the analytics layerEitherTableau Server is self-managed, and Databrain lists self-hosted with VPC peering and a bastion host on Enterprise. Power BI Embedded runs on a Microsoft capacity.

Pricing snapshot

Hourly capacity, role-based licenses with quoted embedded terms, and a flat plan are different shapes of bill, so compare all three at your own tenant count, viewer volume and uptime needs. None is cheaper in every case.

Power BI Embedded and Fabric

A1 (1 vCore, 3 GB)
$735.913/mo
A2 (2 vCores, 5 GB)
$1,465.913/mo
A3 (4 vCores, 10 GB)
$2,937.666/mo
A4 (8 vCores, 25 GB)
$5,881.245/mo
A5 (16 vCores, 50 GB)
$11,768.33/mo
A6 (32 vCores, 100 GB)
$23,542.938/mo
Fabric F2, pay as you go
$262.80/mo
Fabric F2, reserved
$156.334/mo
Fabric F64, pay as you go
$8,409.60/mo
Power BI Pro (publishers)
$14/user/mo

Power BI Embedded bills hourly, computed to the second, and you are not charged while a capacity is paused, though embedded content will not load. Power BI Pro is billed yearly. Viewers in an app-owns-data setup need no Power BI licence.

Tableau Cloud

Standard Creator
$75/user/mo
Standard Explorer
$42/user/mo
Standard Viewer
$15/user/mo
Enterprise Creator
$115/user/mo
Enterprise Explorer
$70/user/mo
Enterprise Viewer
$35/user/mo
Cloud+ and Tableau+
Contact sales
Embedded usage or capacity
By quote
Term
Annual only

Prices are Tableau Cloud list prices in USD per user per month, billed annually, and every deployment needs at least one Creator license. For external viewers Tableau offers a usage-based Embedded Analytics license, where Usage Viewers are licensed per analytical impression, and capacity-based Viewer Blocks with no limit on Viewer accounts. Tableau publishes no price for impressions, Viewer Blocks or Server compute on the pages we reviewed.

Databrain

Growth
$999/mo
Pro
$1,995/mo
Enterprise
Custom
Seats, embeds, tenants
Unlimited
Free trial
14 days

Growth includes multi-tenancy and 1 data source. Pro adds unlimited data sources, SSO and roles and permissions. Enterprise adds self-hosting, multi-region deployment, VPC peering and bastion host, and a dedicated account manager.

Microsoft prices are East US list prices read from Microsoft's Azure and Power BI pricing pages on 22 October 2026, and vary by region. Tableau prices are as listed on tableau.com/pricing/cloud on that date, and we do not estimate embedded usage, capacity or compute prices, because Tableau quotes them. Databrain prices are from the pricing page.

Frequently asked questions

Tableau Embedded vs Power BI Embedded: which is better for embedded analytics?

Neither is better in every case. Power BI Embedded fits teams that already run DAX, Fabric or Microsoft 365 and want hourly capacity pricing they can pause. Tableau Embedded fits teams whose analysts already build in Tableau and who need fine programmatic control of the viz, connector breadth or Tableau Cloud's compliance list. If the dashboard must look like part of your own product and tenants should be a token, not a workspace or a site, look at Databrain as a third option.

How does Power BI Embedded pricing compare with Tableau Embedded?

Power BI Embedded bills capacity hourly: A1 is $735.913 per month and Fabric F2 is $262.80 per month pay as you go, and users who publish content need Power BI Pro at $14 per user per month. Tableau Cloud lists Creator, Explorer and Viewer prices for Standard ($75, $42 and $15 per user per month) and Enterprise ($115, $70 and $35), billed annually, with embedded usage and capacity by quote. Databrain is flat: $999 per month for Growth and $1,995 for Pro, with unlimited seats, embeds and tenants. Compare at your own load and viewer volume.

Do my customers need a licence for Power BI Embedded or Tableau Embedded?

Not a Power BI licence: Microsoft states app users in the embed-for-your-customers model do not need to sign in to Power BI or hold one, though users who publish content need Power BI Pro and production embedding requires a capacity. Tableau depends on the license: role-based Viewers are per user, external Usage Viewers are licensed per analytical impression, and capacity-based Viewer Blocks replace per-Viewer licensing. Databrain has no per-viewer fees.

How does multi-tenancy differ between Power BI, Tableau and Databrain?

Power BI Embedded offers a workspace per tenant or a shared model with RLS roles, managed with service principal profiles. Tableau's Playbook recommends one site per tenant on a multi-tenant Tableau Server, with user filters or JWT user attributes for rows, and Tableau Cloud editions list 3, 10 or 50 sites. In Databrain you pass a clientId in a guest token and one data app serves all tenants. The incumbents give you more isolation options; Databrain gives you less to choose and operate.

Can I white-label Power BI Embedded or Tableau Embedded?

Partly, on both. Power BI accepts a report theme JSON object and CSS on the container, and we found no Microsoft documentation of styling elements inside the report with your own CSS. Tableau lets you hide the toolbar, tabs and Edit buttons, set the device layout and style the iframe around the view, with no property for the fonts or colours of a view, and embedded Pulse metrics accept a colour and font theme. Databrain includes white-labeling and per-customer themes on every plan.

Does embedded Tableau need third-party cookies?

Tableau's authentication help says that for users to authenticate when they access embedded content, browsers must be configured to allow third-party cookies. Plan for that in your browser support matrix, and test with the browsers your customers use.

Does Power BI or Tableau have AI for embedded users?

Copilot in Power BI requires a paid Fabric F2 or Power BI Premium P1 capacity or higher. Tableau Pulse metrics can be embedded with the <tableau-pulse> component, and the default layout includes AI insights; Tableau Agent is listed on Cloud+ and the Tableau+ Bundle, and Ask Data was retired in Tableau Cloud in February 2024. Databrain includes natural-language search on every plan and follow-up chat on Pro and Enterprise.

Is Databrain an alternative to both Power BI Embedded and Tableau Embedded?

Yes, for customer-facing analytics inside a SaaS product. Databrain renders as web components, scopes each tenant from a guest token and charges a flat monthly plan. It is not a replacement for Power BI or Tableau as an internal BI platform, which have DAX, Desktop authoring, Prep and long connector lists, so keep them for that if you rely on them.

How long does implementation take?

Neither Microsoft's nor Tableau's pages we reviewed give an implementation time, so treat any figure you read for them as unsourced. Tableau's Playbook says embedding a single dashboard in a single page is quite simple, but a well-engineered integration requires handling authentication, authorization, content management and performance. Most Databrain teams take 2 to 4 weeks. EpochOS replaced Power BI in 2 weeks and BerryBox in 3, according to their published case studies, and no published customer has switched from Tableau.

Methodology and sources

We check every Power BI claim against Microsoft's own public documentation and pricing pages, and every Tableau claim against Tableau's own documentation, pricing pages and Embedded Analytics Playbook. We date the check: every Microsoft and Tableau source below was opened on 22 October 2026. Microsoft prices are East US list prices from Azure and Power BI pages and vary by region. The Playbook is hosted on tableau.github.io and linked from Tableau's embedded analytics page.

Databrain claims come from our published pricing page, product documentation, Trust Center and customer case studies. Tableau publishes no price for embedded usage, capacity or Server compute on the pages we reviewed, so we state none, and neither vendor's pages give an implementation time, so we state none. Where we found no documentation of a capability, the cell says so, not that it is impossible. We did not test either product, and we did not review service-level terms.

Where Power BI or Tableau is stronger, we say so. If you find something here that is out of date or wrong, tell us and we will fix it.

  1. Use service principal profiles to manage customer data in multitenant appsMicrosoft Learn, opened 22 October 2026
  2. Using standard cloud based row-level security with embedded contentMicrosoft Learn, opened 22 October 2026
  3. Generate an embed token in Power BI embedded analyticsMicrosoft Learn, opened 22 October 2026
  4. How to embed a Power BI item in a React appMicrosoft Learn, opened 22 October 2026
  5. How to embed Power BI content in an Angular appMicrosoft Learn, opened 22 October 2026
  6. How to handle events in a Power BI embedded analytics applicationMicrosoft Learn, opened 22 October 2026
  7. Use filters in a Power BI embedded analytics reportMicrosoft Learn, opened 22 October 2026
  8. Apply report themes in Power BI embedded analyticsMicrosoft Learn, opened 22 October 2026
  9. DirectQuery in Power BIMicrosoft Learn, opened 22 October 2026. Source for the row limit and per-user tile queries
  10. Semantic model modes in the Power BI serviceMicrosoft Learn, opened 22 October 2026
  11. Embed a report for your customersMicrosoft Learn, opened 22 October 2026
  12. Power BI embedded analytics overviewMicrosoft Learn, opened 22 October 2026
  13. Capacity and SKUs in Power BI embedded analyticsMicrosoft Learn, opened 22 October 2026
  14. Power BI Embedded pricingMicrosoft Azure, East US list prices, opened 22 October 2026
  15. Microsoft Fabric pricingMicrosoft Azure, East US list prices, opened 22 October 2026
  16. Pause and resume your Fabric capacityMicrosoft Learn, opened 22 October 2026
  17. Understand Microsoft Fabric licenses and capacityMicrosoft Learn, opened 22 October 2026
  18. Power BI pricingMicrosoft, opened 22 October 2026
  19. Enable Fabric Copilot for Power BIMicrosoft Learn, opened 22 October 2026
  20. Understand translytical task flowsMicrosoft Learn, opened 22 October 2026
  21. Overview of visualizations in Power BIMicrosoft Learn, opened 22 October 2026
  22. DAX overviewMicrosoft Learn, opened 22 October 2026
  23. Embed paginated reports in your embedded analytics appMicrosoft Learn, opened 22 October 2026
  24. Power BI SecurityMicrosoft Learn, opened 22 October 2026
  25. HIPAA and HITECH Act: Microsoft compliance offeringMicrosoft Learn, opened 22 October 2026
  26. Payment Card Industry (PCI) Data Security Standard (DSS): Microsoft compliance offeringMicrosoft Learn, opened 22 October 2026
  27. ISO/IEC 27001 information security management standards: Microsoft compliance offeringMicrosoft Learn, opened 22 October 2026
  28. Tableau Cloud pricingTableau, opened 22 October 2026
  29. Tableau pricingTableau, opened 22 October 2026
  30. Understanding License ModelsTableau Cloud Help, opened 22 October 2026
  31. Tableau Embedded AnalyticsTableau, opened 22 October 2026
  32. Embedded Analytics Playbook: Embedding Tableau ViewsTableau Embedded Analytics Playbook, opened 22 October 2026. Linked from Tableau's embedded analytics page
  33. Embedded Analytics Playbook: Multi-tenancy and Row-level SecurityTableau Embedded Analytics Playbook, opened 22 October 2026
  34. About the Embedding API v3Tableau Embedding API Help, opened 22 October 2026
  35. Configure Embedding Objects and ComponentsTableau Embedding API Help, opened 22 October 2026
  36. Authentication and EmbeddingTableau Embedding API Help, opened 22 October 2026
  37. Customize and Control Data AccessTableau Embedding API Help, opened 22 October 2026
  38. Embed Tableau PulseTableau Embedding API Help, opened 22 October 2026
  39. Format and Customize Tableau PulseTableau Embedding API Help, opened 22 October 2026
  40. VizQL Data Service IntroductionTableau VizQL Data Service Help, opened 22 October 2026
  41. Automatically Build Views with Ask DataTableau Help, opened 22 October 2026. Page carries the retirement notice
  42. Use Tableau-Supplied ConnectorsTableau Help, opened 22 October 2026
  43. Security in the CloudTableau Cloud Help, opened 22 October 2026
  44. Keep Your Data Private and Secure with HIPAA Compliance for Tableau CloudTableau, opened 22 October 2026. Post dated 5 December 2022
  45. Databrain pricingDatabrain, opened 22 October 2026
  46. Databrain docs: Tenancy modelDatabrain, opened 22 October 2026
  47. Databrain docs: Embedding architectureDatabrain, opened 22 October 2026
  48. Databrain docs: Component options referenceDatabrain, opened 22 October 2026
  49. Databrain docs: LLM connectorsDatabrain, opened 22 October 2026
  50. Databrain docs: React guide (one of seven framework guides)Databrain, opened 22 October 2026
  51. Databrain Trust CenterDatabrain, opened 22 October 2026
  52. EpochOS case studyDatabrain, opened 22 October 2026
  53. BerryBox case studyDatabrain, opened 22 October 2026

Want to see the tenancy model before you decide?

Thirty minutes. Bring your architecture and your warehouse, and we will show a white-labeled dashboard running against your schema and tell you plainly if you are a bad fit.

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