Skip the enterprise overhead. Databrain is the developer-friendly embedded analytics platform built for SaaS, rendering as web components with natural-language queries on every plan. Ship in days, scale with every tenant, pay a flat, published price. See why businesses choose Databrain over ThoughtSpot.
Last updated
Short answer
Choose Databrain if
The dashboard is part of your product and has to look like it: Databrain renders as web components in your page, with per-customer themes and white-labeling on every plan.
You run a multi-tenant SaaS and want one data app and a guest token per tenant, instead of choosing between an Org per customer and a shared Org with groups, sharing settings and RLS rules.
You want a published flat price (Growth $999/mo, Pro $1,995/mo) with unlimited seats, embeds and tenants, instead of a quote for an Embedded Enterprise plan.
Choose ThoughtSpot if
You want search and conversational AI to be the product: Spotter 3 with deep research and advanced analysis, on top of a semantic layer built for agents.
Your users should explore, not just view: drilldowns with no pre-defined drillpath, tenant-owned content, custom actions and writebacks, and SDKs for iOS and Android.
You need certifications Databrain does not hold today: ThoughtSpot's Trust Center shows ISO 27001, SOC 1 and SOC 3, HIPAA, CCPA and CSA Star, while Databrain's ISO 27001 is in progress.
Keep ThoughtSpot if it already works for you. If your need is search-led exploration and AI agents across an enterprise, that is what it is built for.
Two teams moved customer-facing analytics from another BI tool to Databrain
No published Databrain case study replaced ThoughtSpot, so this is the closest evidence we have: two teams that replaced another BI tool (Looker, Metabase) for customer-facing analytics. Figures and quotes are taken from each published case study. Two customers is a small sample.
A search and AI analytics platform, sold as ThoughtSpot Analytics and ThoughtSpot Embedded
How it embeds
Web components for React, Next.js, Angular, Vue, Svelte, Solid and vanilla JS
A Visual Embed SDK (JavaScript and React components) that loads ThoughtSpot content in an iframe, an iframe-only route, and mobile SDKs
How tenants are scoped
clientId in a server-minted guest token; one data app serves every tenant
An Org per tenant, or one Org with groups, sharing and row-level security
Who needs a licence
Unlimited seats on every plan
Embedded Developer is capped at 10 users; Embedded Enterprise lists unlimited users and data
Pricing model
Flat and published: $999/mo Growth, $1,995/mo Pro, Enterprise custom
Embedded: Developer is free, Enterprise is flexible pricing by quote. Analytics: per user or per credit
Query model
Live queries against your warehouse
Live pre-built data connections; an in-memory cache is an add-on
Deployment
Databrain cloud, or self-hosted on Enterprise
ThoughtSpot Cloud; VPN and VPC listed on Analytics Enterprise, a custom company URL on Embedded Enterprise
Typical time to production
2 to 4 weeks for most teams; SpotDraft 4 weeks, Freightify 1 week
We found no standard figure on ThoughtSpot's pages; its Embedded page quotes Thrive Learning live in two weeks and Verisk in production in 12 weeks
What Databrain and ThoughtSpot are
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.
ThoughtSpot
ThoughtSpot is an analytics platform built around search and AI. Its Spotter assistant answers questions in natural language, Liveboards hold dashboards, and a semantic layer built for agents sits underneath. It is sold as ThoughtSpot Analytics and ThoughtSpot Embedded, and the Embedded plans list the Visual Embed SDK, a REST API and custom styles, themes and actions.
Its multi-tenancy guide puts the work in your data warehouse design: a multi-tenanted warehouse can be served from one prod environment, and a single-tenanted one gets a prod Org per customer.
Key differences in one minute
What a tenant is
In ThoughtSpot a tenant is an Org you provision, or a group in a shared Org that sharing settings and row-level security keep apart. In Databrain a tenant is the clientId in a guest token, and one data app serves all tenants. ThoughtSpot's model is flexible and well documented, and you choose and operate the pattern.
Where the work happens
ThoughtSpot is model first: Models, a semantic layer, Liveboards, groups and RLS rules, with sharing deciding what each user sees. Databrain is metric-builder first: drag and drop, custom SQL or natural language, then a token.
How deep the embed goes
ThoughtSpot embeds Liveboards, Spotter, Search and the full app through an SDK that loads content in an iframe, styled with CSS variables, and it adds iOS and Android SDKs. Databrain offers one embed, web components, configured through four theming layers. ThoughtSpot's embed surface is wider.
What the bill tracks
ThoughtSpot Analytics is priced per user or per credit, Embedded Developer is free for up to 10 users, and Embedded Enterprise is a quote with no published amount. Databrain is a flat monthly price by feature, with unlimited seats, embeds and tenants.
Breadth
ThoughtSpot is the broader platform: agentic AI with an MCP server, deep research, mobile SDKs and a longer compliance list. Databrain is a narrower embedding layer, which is the point if embedding is all you need.
Feature comparison
Twenty-three capabilities that decide a customer-facing analytics build, Databrain against ThoughtSpot. ThoughtSpot cells cite ThoughtSpot's own documentation, pricing page and Trust Center, opened on 22 October 2026. Databrain cells cite our pricing page, Trust Center and product docs. Where ThoughtSpot is stronger, the cell says so.
Databrain vs ThoughtSpot: 23 capabilities
Capability
Databrain
ThoughtSpot
Embedding and branding
Yes: Web components in your page
Yes: Visual Embed SDK, content loads in an iframe
Whether the analytics surface is part of your page or a document your page hosts.
<dbn-dashboard> and <dbn-metric> from @databrainhq/plugin are the documented components. An iframe route exists and our docs mark it as not recommended.
The Visual Embed SDK is a JavaScript library with LiveboardEmbed, SpotterEmbed, AppEmbed, SearchEmbed and SearchBarEmbed, plus React components. ThoughtSpot's authentication docs describe the content as loading "into the iframe generated by the Visual Embed SDK". For hosts that cannot run the SDK, ThoughtSpot documents an iframe-only route. Your host domain goes on ThoughtSpot's CORS and CSP allowlist.
Dashboards and single metrics
Yes: Liveboards, Spotter, Search and the full appThoughtSpot leads here
If your product needs a search bar or a chat panel inside it, ThoughtSpot ships one.
The documented components embed a dashboard (dbn-dashboard) or a single metric (dbn-metric), configured through component options.
ThoughtSpot lists a single visualization or full Liveboard, the Spotter AI experience, the Search page, only the search bar and data panel, and the full ThoughtSpot application or specific pages of it. Spotter can be embedded in full with SpotterEmbed, as only a search bar with SpotterAgentEmbed, or reached from your own chatbot through the Spotter MCP server without ThoughtSpot's UI.
Web components; no native mobile SDK documented
Yes: React Native, Swift and Android SDKsThoughtSpot leads here
A hard native-mobile requirement is a reason to choose ThoughtSpot.
Databrain's documented embed is web components in a web page. We document no native iOS or Android SDK.
ThoughtSpot documents a React Native SDK for iOS and Android, a Swift SDK for iOS and an Android SDK, each for embedding a Liveboard. The React Native page says the first release supports a Liveboard component, and the mobile SDK pages use cookieless trusted authentication.
Yes: Seven framework guides
Yes: JavaScript SDK and React components
How much glue code your team writes per framework.
Guides for React, Next.js, Angular, Vue, Svelte, Solid and vanilla JS, all against the same component. Angular, Vue, Svelte and vanilla hosts need react and react-dom as dependencies.
The SDK is written in TypeScript and ships as ES Module and UMD, so it runs in many environments. ThoughtSpot's React components need React 16.8 or later and React DOM as peer dependencies.
Yes: Four theming layers, per-customer themes
Yes: CSS variables, icons, text, per-Org styles
Whether "matches our design system" is a token map you control or a set of overrides on someone else's UI.
Chart appearance, admin theme options, custom chart settings and saved metric settings resolve in a fixed priority order. White-labeling and custom UI themes per customer are on every plan; email white-labeling is on Pro and Enterprise.
ThoughtSpot customizes logo, favicon, fonts, navigation color and chart palette in its UI, and exposes a CSS framework with variables and selector rules, plus icon and text-string overrides. On a multi-tenant cluster, styles can be set per Org. ThoughtSpot says custom CSS is available only with the Embedded Edition license, and warns that selector-based rules can break when your instance is upgraded to a new release.
Server-minted guest token with an expiry
Trusted-auth token, cookieless, or SSO
Both need a backend endpoint. The difference is what the token carries and what ThoughtSpot needs to exist before it works.
Your backend mints the guest token with an expiry time. Databrain validates every request: token lookup, expiry, the request origin against your allowed domains, and permissions.
Trusted authentication has your backend request a login token from ThoughtSpot with a secret key; cookieless mode is for browsers that block third-party cookies. ThoughtSpot also supports Embedded SSO, SAML redirect and OIDC, and says basic authentication is not for production. The token request can create a user just in time and assign groups.
Multi-tenancy and security
Yes: One data app, scoped by clientId
Yes: An Org per tenant, or one Org with RLS
Whether adding a tenant is a value in a token or an Org or group you create.
One data app serves every tenant, and you do not need a data app per tenant. Tenancy can be a shared table with a tenant column, or a schema or database per tenant.
An Org is an independent container with its own users, groups and data objects, and a user works in one Org at a time. The Orgs features need the ThoughtSpot Analytics Enterprise or Embedded license. ThoughtSpot ties the pattern to your warehouse: shared tables can use one prod environment with RLS and sharing, and per-customer databases or schemas use a prod Org per customer. It recommends not using hierarchical groups in a multi-tenanted setup.
Pass a clientId
Create an Org or a group, then provision users
The per-tenant step your onboarding automation has to perform.
A new tenant's data is scoped as soon as your backend mints a guest token with its clientId, provided your tenant column, schema or database mapping covers it.
In the Org pattern, an administrator creates an Org per tenant account and its groups and users, and the Orgs REST APIs, the user and group APIs and Git integration can automate it. In the shared-Org pattern you create at least one group per tenant and set it shareable. Trusted authentication can create users just in time and assign them to groups.
Partial: End-user report creation on Enterprise
Yes: Tenants build and share their own contentThoughtSpot leads here
If each customer builds their own views, ThoughtSpot's sharing model is built for it.
By default every tenant sees the same dashboards, scoped by the guest token. End-user report creation is an Enterprise feature. For per-customer layouts, Databrain documents a master dashboard with client dashboards created from it through the Import Dashboard API or the MCP server. Those are copies: later edits to the master do not propagate to client dashboards already created.
In ThoughtSpot's multi-tenant models, the app developer provides shared content, and users in each customer organization can create their own and share it only within their own organization, using tenant groups set to shareable. For per-customer databases, template objects are deployed to each tenant through Git integration.
Yes: Tenant filter injected into the SQL
Yes: RLS rules, token variables, column security
Both are real row-level security. ThoughtSpot's token variables are the closest match to Databrain's guest token; the difference is where the rule lives and who maintains it.
For builder metrics Databrain injects the tenant filter into the generated query server-side. Custom SQL metrics are not auto-injected: the author references the tenant variable, or the metric runs unscoped. Per-session constraints go in rlsSettings in the guest token, enforced server-side and fixed at mint time. A separate row and column level security feature is listed on Enterprise.
ThoughtSpot lists RLS rules on table objects, attribute-based access control with variables referenced in RLS rules and passed in the login token, ABAC with filter parameters in the token, and OAuth connections. Column-level security is set by sharing columns. Rules that use token variables support only equals and not-equals, and ThoughtSpot says search suggestions can expose indexed values unless you define an RLS rule on the field or disable indexing.
Partial: SOC 2 and GDPR; ISO 27001 in progress
Yes: SOC 1, 2, 3, ISO 27001, HIPAA, GDPR, CCPAThoughtSpot leads here
If a buyer's procurement list names ISO 27001, SOC 1 or 3, HIPAA or CCPA, ThoughtSpot lists them and Databrain does not yet.
Databrain's Trust Center lists SOC 2 and GDPR as compliant, VAPT as compliant and ISO 27001 as in progress. HIPAA is listed as coming soon on Pro and Enterprise on our pricing page.
ThoughtSpot's Trust Center shows SOC 1, SOC 2, SOC 3, ISO 27001, CSA Star, HIPAA, GDPR, CCPA and the EU-US, Swiss-US and UK data privacy framework badges. ThoughtSpot's Embedded page says "SOC 2, GDPR, and HIPAA-ready from day one".
Yes: Cloud, or self-hosted on Enterprise
ThoughtSpot Cloud; VPN and VPC on Enterprise
Regulated customers ask where the data sits and who can reach it.
Cloud, or self-hosted in your own infrastructure on Enterprise, with VPC peering and a bastion host. Queries run against your warehouse.
ThoughtSpot's pricing page lists custom domain configuration, advanced data encryption and VPN and VPC on Analytics Enterprise, and a custom company URL and advanced data encryption on Embedded Enterprise. We did not find a self-hosted option on the pages we opened, so confirm deployment options with ThoughtSpot.
Data and semantic layer
Partial: Live queries; caching on Pro and up
Yes: Live connections; cache is an add-on
Both query your warehouse live by default; the cache is how each handles load.
Every surface queries your warehouse live through the same tenant-scoped path. Caching is available on Pro and Enterprise.
ThoughtSpot's pricing page lists live pre-built data connections on its plans, and an in-memory data cache (Analyst Studio or Spotcache) as an add-on.
Yes: Warehouses and databases, live
Yes: Snowflake, Databricks, Redshift and others
Confirm your exact warehouse in both lists before you commit.
Databrain's pricing page names Redshift, Snowflake, MySQL, Postgres and ClickHouse, and says it supports all the popular data stores.
ThoughtSpot's pricing page names live pre-built connections to Snowflake, Databricks and Redshift, with more implied by "and others".
Partial: Semantic layer on Enterprise
Yes: Semantic layer built for agentsThoughtSpot leads here
A governed semantic layer shared across surfaces is ThoughtSpot's core strength.
Datasets, datamarts and the semantic layer are listed under Data studio on the Enterprise plan. On Growth and Pro, metrics are built directly with the builder or custom SQL.
ThoughtSpot's pricing page lists a semantic layer built for agents on its Analytics plans, and ThoughtSpot says Embedded answers are verified against a governed semantic layer. Its multi-tenancy guide recommends sharing Models, not raw tables, with end users.
Yes: Forecasting on Pro, more on Enterprise
Yes: Anomaly alerts, Spotter advanced analysisThoughtSpot leads here
Both cover the common cases. ThoughtSpot's analysis modes go further.
Drill-down and forecasting are on Pro and Enterprise. Forecasting, outlier detection, predictive algorithms and recommendations are listed on Enterprise.
ThoughtSpot's pricing page lists automated KPI monitoring, anomaly detection and alerts on its plans. Spotter 3 lists advanced analysis with forecasting, correlation and query-on-query analysis, and advanced SQL, R and Python analysis is an Analyst Studio add-on.
What your customer gets
Yes: Natural-language search on every plan
Yes: Spotter 3, agentic, with MCPThoughtSpot leads here
ThoughtSpot's agent tooling is broader. Databrain's natural-language search is included on every plan.
Natural-language search is included on every plan, and follow-up chat on Pro and Enterprise. Connect OpenAI, Azure OpenAI, Claude, Gemini, Llama or Mixtral.
Spotter 3 is data-aware, finds data models from a prompt, offers quick search and deep research modes, saves chats and supports third-party MCP connectors. You embed the full experience with SpotterEmbed, only the search bar with SpotterAgentEmbed, or use the Spotter MCP server to bring Spotter into your own chatbot without ThoughtSpot's UI. ThoughtSpot says it does not meter or charge for LLM tokens. In the per-user pricing view, Spotter AI Agents are listed at 25 queries a month per user, with Unlimited Spotter as an add-on.
Partial: Drill-down on Pro; report creation on Enterprise
Yes: Search, drilldown with no set pathThoughtSpot leads here
Whether every customer request for a new cut of the data becomes a ticket for your team.
Drill-down and forecasting are on Pro and Enterprise. End-user report creation is an Enterprise feature, and also needs the workspace and permissions configured to allow it.
ThoughtSpot's pricing page lists natural-language search, dynamic interactive dashboards and drilldowns with no pre-defined drillpath on its plans.
Card-click actions; webhooks on Enterprise
Yes: Custom actions, writebacks, workflowsThoughtSpot leads here
If an answer should end in something changing in your product, ThoughtSpot documents more for it.
Custom appearance and card-click actions are on every plan. Webhooks and API webhooks are on Enterprise.
ThoughtSpot's Embedded page lists custom actions, writebacks and workflows inside the embed, for example updating a record or starting an approval from a chart.
Token and API management
Yes: REST APIs and Git integrationThoughtSpot leads here
Relevant if you manage analytics through a release pipeline across environments.
Server-to-server API keys mint guest tokens, and dashboards can be provisioned through the Import Dashboard API.
ThoughtSpot documents REST APIs for Orgs, users, groups, content and variables, and Git integration APIs for deploying content across Orgs.
Commercial
Yes: Flat and published
Developer free; Embedded Enterprise by quote
One of these bills is a number you can read today; the other starts with a quote.
Growth $999/mo, Pro $1,995/mo, Enterprise custom. Seats, embeds and tenants are unlimited on every plan.
The Embedded tab lists Developer as free, up to 10 users and 25M rows (one pricing view says free for 1 year), and Enterprise as flexible pricing aligned with your use case and go-to-market, with "predictable cost per user /customer" in the per-user view. No Embedded Enterprise amount is published. The Analytics tab lists Essentials from $25 per user per month billed annually, Pro from $0.10 per credit or from $50 per user per month billed annually depending on the view, and Enterprise as custom.
14-day trial; chat support; SLA on Enterprise
Free trial; 1 hr support SLA on Enterprise
Check what the support tier you can afford actually includes.
14-day free trial, with a proof of concept on your dataset for Pro and Enterprise. Growth and Pro include support through Slack, MS Teams, Google Spaces and in-app chat. Enterprise adds 24x7 premium support, a 99.5% uptime SLA and a dedicated account manager.
ThoughtSpot's pricing page links a free trial for its Essentials, Pro and Developer plans and states no trial length. It lists Enterprise Support with a 1 hr SLA on Enterprise.
2 to 4 weeks for most teams
No standard figure found
Both ranges are customer reports, not guarantees. Ask each vendor for references at your tenant count.
Most teams take 2 to 4 weeks. SpotDraft replaced Looker in 4 weeks and Freightify replaced Metabase in 1, according to their published case studies.
We found no standard implementation time on ThoughtSpot's pages. Its Embedded page carries customer statements: Thrive Learning went live in two weeks, and Verisk was in production in 12 weeks.
How multi-tenancy and security work
Tenant isolation is the hardest part of customer-facing analytics, and Databrain and ThoughtSpot solve it in different places. ThoughtSpot puts it in Orgs, groups, sharing and row-level security. Databrain puts it in the token and the generated query.
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.
Databrain's Trust Center lists SOC 2 and GDPR as compliant, with ISO 27001 in progress, and our pricing page lists HIPAA as coming soon. Compare the lists above against your buyers' requirements.
ThoughtSpot
ThoughtSpot has two multi-tenancy patterns, and its docs tie the choice to your data warehouse. If every customer's data is in the same tables, one prod environment can serve all customers, with row-level security and sharing to isolate them. If each customer has its own database or schema, ThoughtSpot uses a prod Org per customer.
An Org is an independent container with its own users, groups and data objects. A user can belong to several Orgs and works in one at a time. In the shared pattern, you create groups per tenant, set shareability so tenants see only their own content, and filter data with RLS rules or with variables passed in the login token. ThoughtSpot recommends against hierarchical groups in a multi-tenanted setup, because row-level security returns the names of all a user's groups and hierarchies can inflate that list. Its own guide says that if you can choose, "it will be simpler to implement in ThoughtSpot using the multi-tenant model."
ThoughtSpot's Trust Center lists SOC 1, SOC 2, SOC 3, ISO 27001, CSA Star, HIPAA, GDPR and CCPA.
A Databrain request
Your backend calls the guest-token endpoint with the customer's clientId and your data app name.
POST /api/v2/guest-token/create
Your app passes the token to the web component.
Databrain looks up the token server-side and checks expiry, origin and permissions.
The generated SQL carries the tenant filter.
The query runs against your warehouse and the result is returned to the component.
A ThoughtSpot request (trusted authentication)
Your application authenticates the user, and your token request service asks ThoughtSpot for a login token with the instance's secret key.
The Visual Embed SDK is initialized with the token and renders the Liveboard in an iframe.
The user lands in an Org and its groups; the token request can create the user just in time and assign groups.
Sharing decides which Liveboards and Models the user can open, and RLS rules, with any token-passed variable values, filter the rows.
The query runs against the connected warehouse and the result renders in the embed.
Both are real tenant isolation; the difference is whether a tenant is an Org or group you create and keep consistent, or a value in a token.
When each is a better fit
Both lists are genuine. If your situation matches the ThoughtSpot side, that is the right call.
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 tenant 500 should be a token, not an Org or a new group to provision.
Finance needs a number it can forecast from a published price.
You want to connect a warehouse, build metrics with a builder, mint a token and embed, in 2 to 4 weeks for most teams.
You need self-hosting, VPC peering or a bastion host (Enterprise).
ThoughtSpot is the better fit when
Your end users should search and explore: natural-language questions, drilldowns with no pre-defined drillpath and content they build themselves.
You want agentic AI as a feature: Spotter 3 with deep research and advanced analysis, MCP connectors and an MCP server.
You need iOS or Android SDKs, or custom actions and writebacks inside the embed.
You need compliance coverage beyond SOC 2 and GDPR, such as ISO 27001, SOC 1 and 3, HIPAA, CCPA and CSA Star, listed on ThoughtSpot's Trust Center.
You want one governed semantic layer behind embedded and internal analytics, and your team is ready to model in it.
Decision guide
Match your situation to the row, then check the feature comparison for the detail.
Which product fits which situation
If your question is
Lean toward
Because
The viewer is your customer, not your colleague
Databrain
Customer-facing embedding, per-customer themes and no per-viewer cost are what Databrain is built for.
Many tenants with self-serve onboarding
Databrain
Tenant scope comes from a guest token, and one data app serves all tenants.
The dashboard must match your product UI
Databrain
Web components and four theming layers. ThoughtSpot supports CSS variables, icon and text overrides and per-Org styles, so check both against your design system.
Your users need to search and explore ad hoc
ThoughtSpot
Natural-language search and drilldowns with no pre-defined drillpath are core to ThoughtSpot. Databrain's drill-down is on Pro, and end-user report creation on Enterprise.
You need agentic AI inside the product
ThoughtSpot
Spotter 3, SpotterAgentEmbed and the Spotter MCP server are documented. Databrain includes natural-language search on every plan and follow-up chat on Pro and Enterprise.
You need native iOS or Android embeds
ThoughtSpot
ThoughtSpot documents React Native, Swift and Android SDKs for Liveboards. We document no native mobile SDK.
You need ISO 27001, SOC 1 or 3, HIPAA or CCPA coverage now
ThoughtSpot
ThoughtSpot's Trust Center lists them. Databrain lists SOC 2 and GDPR, with ISO 27001 in progress and HIPAA coming soon.
You need forecastable spend from a published price
Databrain
A flat monthly plan with unlimited seats, embeds and tenants.
You need to self-host the analytics layer
Databrain
Databrain offers self-hosting on Enterprise. We did not find a self-hosted ThoughtSpot option on the pages we opened, so confirm with ThoughtSpot.
Pricing snapshot
A flat plan and a per-user or per-credit plan with a quoted embedded tier are different shapes of bill, and ThoughtSpot publishes no Embedded Enterprise amount, so compare Databrain and ThoughtSpot against a quote at your own tenant and user count. Neither is cheaper in every case.
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.
ThoughtSpot
Embedded Developer
Free, up to 10 users and 25M rows
Embedded Enterprise
Flexible pricing by quote, no amount published
Analytics Essentials
From $25 per user per month, billed annually
Analytics Pro
From $0.10 per credit, or from $50 per user per month
Analytics Enterprise
Custom
LLM tokens
Not metered or charged by ThoughtSpot
ThoughtSpot's Embedded comparison lists the Visual Embed SDK, a REST API and custom styles, themes and actions on both Developer and Enterprise. The Enterprise column adds Multi Tenant by Organization, unlimited users, data and permission groups, a custom company URL, embedded SSO via SAML, OAuth and OIDC, advanced data encryption and Enterprise Support with a 1 hr SLA. Add-ons include Analyst Studio, an in-memory cache and an MCP server. If you use your own LLM provider, that provider's fees may apply.
ThoughtSpot publishes no Embedded Enterprise amount, so that row reads as stated on its pricing page. Its pricing page has a per-user view and a usage view, and the Analytics amounts above come from those views. Databrain prices are from the pricing page. Both were read on 22 October 2026.
Keep ThoughtSpot for internal analytics if it works there. The move is for the customer-facing layer. Most teams finish in 2 to 4 weeks, SpotDraft in 4 and Freightify in 1, and you can run both side by side until you cut over.
Inventory what customers open
List the Liveboards customers open most and the Models and metrics behind them.
Connect your warehouse
Connect to Databrain with read-only access.
Set up tenancy
Choose how tenants are separated: a tenant column, or a schema or database per tenant. ThoughtSpot Orgs and groups do not carry over.
Recreate the priority dashboards
Rebuild them as Databrain metrics, using drag and drop, custom SQL or natural language.
Mint guest tokens
From your backend, create a token with each customer's clientId.
Pilot with a few tenants
Replace the ThoughtSpot embed with a Databrain web component for a pilot group and run both.
Cut over
Move the remaining tenants, then retire the ThoughtSpot Orgs or groups you no longer need.
Plan to recreate Liveboards rather than import them: we document no automated ThoughtSpot importer. No published Databrain customer has migrated from ThoughtSpot. The range comes from the published SpotDraft and Freightify case studies, and a full multi-tenant white-label rollout sits at the top of it. If your users rely on Spotter conversations, search or open-ended drilldowns, check what you would lose.
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 ThoughtSpot as an enterprise search and AI analytics platform, so keep ThoughtSpot for that if you rely on it.
How does ThoughtSpot pricing compare with Databrain?
ThoughtSpot Embedded Developer is free for up to 10 users, and Embedded Enterprise is flexible pricing by quote with no published amount. Databrain is flat and published: $999 per month for Growth and $1,995 for Pro, with unlimited seats, embeds and tenants. Ask ThoughtSpot for a quote at your tenant count.
How does multi-tenancy differ between ThoughtSpot and Databrain?
In ThoughtSpot a tenant is an Org, or a group in a shared Org kept apart by sharing settings and row-level security. In Databrain you pass a clientId in a guest token and one data app serves all tenants. ThoughtSpot's patterns are flexible; you choose, create and maintain the one that fits your warehouse.
Does ThoughtSpot embed in an iframe?
ThoughtSpot's Visual Embed SDK is a JavaScript library with React components, and its docs describe the embedded content as loading into an iframe the SDK generates. An iframe-only route also exists. Databrain renders as web components in your page; an iframe route exists and our docs mark it as not recommended.
Can I white-label both?
Yes. Databrain includes white-labeling and per-customer themes on every plan. ThoughtSpot offers style customization, CSS variables, icon and text overrides and per-Org styles, and says custom CSS needs the Embedded Edition license. Its selector-based CSS rules can break on an upgrade. Compare both against your design system before you decide.
Can I self-host ThoughtSpot or Databrain?
Databrain offers self-hosting on Enterprise, with VPC peering and a bastion host. ThoughtSpot's pricing page lists VPN and VPC on Analytics Enterprise and a custom company URL on Embedded Enterprise, and we did not find a self-hosted ThoughtSpot option on the pages we opened. Ask ThoughtSpot to confirm what it offers.
Does Databrain have AI for end users like ThoughtSpot's Spotter?
Databrain includes natural-language search on every plan and follow-up chat on Pro and Enterprise, with your choice of LLM. ThoughtSpot's Spotter 3 goes further: deep research, advanced analysis, saved chats, MCP connectors and an MCP server. If agentic AI is the product you are shipping, ThoughtSpot is the stronger fit.
How long does switching take?
Most Databrain teams take 2 to 4 weeks. SpotDraft replaced Looker in 4 weeks and Freightify replaced Metabase in 1, according to their published case studies. No published customer has switched from ThoughtSpot, so treat this as Databrain's standard range, not a ThoughtSpot migration benchmark. A full multi-tenant white-label rollout sits at the top of it.
Methodology and sources
We check every ThoughtSpot claim against ThoughtSpot's own public documentation, pricing page, Embedded page and Trust Center, and we date the check: every ThoughtSpot source below was opened on 22 October 2026. ThoughtSpot's pricing page has separate Analytics and Embedded tabs and a per-user and a usage view, so where the views differ, the cell says which.
Databrain claims come from our published pricing page, Trust Center, product documentation and customer case studies. ThoughtSpot's pages that we opened show no Embedded Enterprise price and no standard implementation time, so we do not state either, and we did not model a total cost of ownership. Where we found no ThoughtSpot documentation of a capability, such as self-hosting, the cell says so, not that it is impossible. We did not compare ThoughtSpot support terms beyond the pricing page, or any certification beyond the Trust Center badges.
Where ThoughtSpot is stronger, we say so. If you find something here that is out of date or wrong, tell us and we will fix it.
ThoughtSpot plans and pricingThoughtSpot, opened 22 October 2026. The page has a ThoughtSpot Analytics and a ThoughtSpot Embedded tab, and a per-user and a usage pricing view
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