ThoughtSpot Embedded Analytics lets you put search, Liveboards and AI (Spotter) INSIDE your own apps — so YOUR users get self-service search and an AI analyst, natively in your product.Embed AI/NL analytics, not just static charts. SDK, Visual Embed, Playground & REST APIs.
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This page covers Embedded Analytics (formerly ThoughtSpot Everywhere). The rest of the ThoughtSpot platform:
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Put search, Liveboards and AI (Spotter) INSIDE your own app — so YOUR users get self-service search and an AI analyst, natively in your product. Not just static charts: embed AI/NL analytics.
What consolidation actually replaces, dimension by dimension.
| Dimension | Static embedded charts | Embedded Analytics |
|---|---|---|
| Analytics in your product | Static charts / bolted-on dashboard | Embedded search + AI analyst |
| What users can do | View a fixed dashboard | Ask their own questions (plain language) |
| AI/NL analytics | None — charts only | Spotter embedded in your app |
| Integration | Iframe hack | SDK, Visual Embed, Playground, REST |
| Look & feel | Foreign bolt-on | White-labelled, native to your brand |
| Multi-tenancy | Fragile / manual | Secure, isolated, governed |
| Data | Extracts / stale copies | Live on the cloud warehouse |
| Best fit | (varies) | Embed governed AI/NL analytics into your product |
ThoughtSpot Embedded Analytics (formerly Everywhere) lets you put search, Liveboards & AI (Spotter) INSIDE your own app — so your users get self-service search and an AI analyst, natively in your product. Embed AI/NL analytics, not just charts. SDK, Visual Embed, Playground, REST APIs, low-code. Honest: premium/quote-priced (OEM), integration-and-model-dependent. Warehouse-native? Sigma. Embedded-first? GoodData. Specialist? Sisense. TechBag scopes it, helps integration & the model, adds GST.
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Puts ThoughtSpot search, Liveboards and visualisations inside your own application, portal or product, so users analyse data without leaving your UI.
Embed Spotter, the AI analyst, so your users ask questions in plain language and get governed answers natively in your product, not just static charts.
A Developer SDK and the Visual Embed library drop in full-app, Liveboard, search or Spotter components, and a Developer Playground speeds prototyping.
REST APIs and low-code components let you automate, provision and compose analytics into your product, and SpotterCode generates integration code.
Answers stay grounded in your governed semantic model, styled to your brand (white-label), with secure multi-tenant access across customers.
One lens across all signals and stores — questions resolved in place instead of assembled across silos.
ThoughtSpot Embedded lets you put search, Liveboards & AI (Spotter) INSIDE your own app — the embedded/OEM analytics line of the ThoughtSpot portfolio.
The Visual Embed library drops full-app, Liveboard, search or Spotter components into your web app in a few lines of code.
A full Developer SDK handles authentication, events, actions and rendering, for a native embedded experience.
Embed Spotter, the AI analyst, so your users ask questions in plain language and get governed answers in your app.
A Developer Playground lets you prototype embeds interactively, generate the code and see it live before you ship.
Match your brand’s fonts, colours and layout with custom CSS, and white-label it so it feels native, not bolted on.
REST APIs automate provisioning, manage content and access, and integrate ThoughtSpot into your backend workflows.
Low-code components let product teams compose analytics into the app without heavy engineering, and maintain it easily.
SpotterCode generates the code to embed ThoughtSpot analytics in your app, so developers ship faster.
Custom actions and events link your app and the embed, so a chart click triggers your workflow and your app drives analytics.
Row-level security and access controls ensure each customer sees only their own data, essential for multi-tenant SaaS.
Embedded answers use your governed semantic model and query Snowflake, Databricks or BigQuery live, so they are trusted and current.
Embedded search and AI become a differentiator you can monetise, upselling an analytics tier beyond competitors’ static charts.
The overview, getting started, and the core workflows.
The AI analyst you can embed.
The platform behind embedded.
SpotterCode assists integration.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Here’s what genuinely sets ThoughtSpot Embedded apart (and where a rival competes).
Most embedded analytics stop at pre-built charts, so users get stuck on any new question. ThoughtSpot lets you embed search and Spotter, so your users ask in plain language and get governed answers inside your app. Having an AI analyst inside the product drives engagement, stickiness and upsell.
Bad embeds are foreign-looking iframes. ThoughtSpot gives developers the Visual Embed library for drop-in components, an SDK for authentication, events and rendering, a Developer Playground to prototype, REST APIs for provisioning, low-code components and SpotterCode, so integrations ship in weeks and feel native.
Users spot a bolted-on analytics tool instantly. ThoughtSpot Embedded can be fully white-labelled — your fonts, colours and layout via custom CSS, with ThoughtSpot branding removed — and custom actions and events let a chart click trigger your own workflow, so analytics feel like a feature you built.
Embedding in a multi-tenant SaaS product needs strict isolation, consistent numbers and current data. ThoughtSpot uses row-level security so each customer sees only their own data, grounds answers in a governed semantic model, and queries Snowflake, Databricks or BigQuery live, with no stale extracts.
ThoughtSpot was co-founded by Indian-origin engineers Ajeet Singh and Amit Prakash, with R&D in Bangalore, Trivandrum and Hyderabad. Embedded is roughly a quarter of its ARR, reportedly growing ~100% YoY. It is premium and quote-priced in USD; TechBag adds licensing scoping, integration help and INR/GST.
ThoughtSpot Embedded (formerly ThoughtSpot Everywhere) lets you embed search, Liveboards and Spotter, not just charts, with a strong SDK and white-labelling. It is premium, negotiated OEM pricing. Sigma, Looker, Sisense, Qlik and embedded-first GoodData or Explo compete, and may suit some products better.
What to embed (search, Liveboards, Spotter), which warehouse, and OEM licensing. TechBag compares Sigma, Looker, Sisense, GoodData.
Connect live to your warehouse, build the governed semantic model, and prototype the embed in the Developer Playground.
Embed with the Visual Embed library and SDK, white-label it, wire custom actions and events, and secure multi-tenant access.
Roll out to customers, add Spotter as an embedded AI analyst, monetise an analytics tier. TechBag supports you locally (GST).
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“We embedded search and Spotter, so our customers ask their own questions inside our app — beyond competitors’ static dashboards.”
“The Visual Embed library and Developer Playground took us from prototype to shipped in weeks, native-feeling, not an iframe.”
“White-labelling decided it: custom CSS, our fonts and colours, and custom actions in our workflows. Users don’t know it’s ThoughtSpot.”
“Multi-tenant isolation was non-negotiable: each customer sees only their data, live. We shipped to hundreds of tenants confidently.”
“Honest: it’s premium, and we evaluated Sigma and GoodData. But for embedding an AI analyst, not just charts, ThoughtSpot won.”
“Success hinged on the semantic model. TechBag helped us build it properly, so the embedded answers are trustworthy.”
“Embedded analytics became a revenue line: customers use our analytics tier because it’s an AI analyst, not a static report.”
“ThoughtSpot’s Bangalore R&D gave our India-built product confidence. TechBag scoped embedded licensing and integration, and GST.”
Analyst firms bury this view behind paywalls, and review-site grids score satisfaction, not fit for your estate. So here’s TechBag’s synthesis of the Embedded / OEM analytics market — tap any vendor to see why it sits where it does.
Execution strength vs product vision — the classic market map, minus the paywall.
Embed governed AI/NL analytics. This page.
The grid nobody publishes — embedded-BI depth vs embed AI/NL analytics depth.
Embed AI/NL analytics (Spotter).
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Sigma, Looker, Sisense, Qlik and GoodData — honest lanes; the edge is embedding GOVERNED AI/NL analytics (search + an AI analyst), not just static dashboards. Warehouse-native/spreadsheet? Sigma. Embedded-first/lighter? GoodData. Established specialist? Sisense. We say so.
| Dimension | ThoughtSpot | Sigma | Looker | Sisense | Qlik | GoodData |
|---|---|---|---|---|---|---|
| Position | Embed governed AI/NL analytics | Warehouse-native, spreadsheet-style | LookML-governed embedding (GCP) | Established embedded specialist | Associative engine + APIs | Embedded-first platform |
| Embed AI / NL analytics | Spotter — embed the AI analyst | AI features (growing) | Some AI (Gemini) | Infused / Simply Ask | Insight Advisor | AI features (growing) |
| Developer toolkit (SDK/Playground) | SDK, Visual Embed, Playground, REST | Embed SDK + APIs | Embed SDK / APIs | Deep SDK (embedded-focused) | APIs + capability APIs | SDK + React components |
| White-label / customisation | Deep white-label + custom CSS | Styling + theming | Theming (varies) | Deep white-label | Theming + APIs | White-label (embedded-first) |
| Self-service for end users | Search + ask (plain language) | Spreadsheet-style explore | Explores (modelled) | Dashboards + Simply Ask | Associative exploration | Dashboards (embedded) |
| Multi-tenant / warehouse-scale | Multi-tenant, live warehouse | Live, warehouse-native | In-warehouse (LookML) | Multi-tenant (varies) | Engine-based | Multi-tenant (embedded) |
| Price / model | Premium, quote-based (OEM) | Mid — per-user/consumption | Mid/high (GCP) | Mid — embedded pricing | Mid/high | Embedded-first pricing |
| Best fit | Embed governed AI/NL analytics into your product | Warehouse-native, spreadsheet-style embed | LookML-governed embedding on GCP | Established embedded specialist | Associative engine + APIs | Embedded-first, lighter-weight platform |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Drag the sliders (end users of your app; hour cost as loaded rate). Estimates contrast static embedded charts (fixed dashboards, users stuck on new questions, support tickets) vs ThoughtSpot Embedded (embed search + AI analyst, users self-serve, differentiate & monetise) — the wins are product differentiation, user engagement, and fewer analytics support tickets. NB: premium/OEM pricing — TechBag scopes your case. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
ThoughtSpot Embedded is PREMIUM and quote-priced — embedded/OEM licensing is negotiated (often based on deployment, users or customers), in USD — no simple public list. Success depends on your integration effort and a well-built semantic model. TechBag scopes the embedded licensing and capabilities you need, helps with integration and the model, and quotes current figures with INR/GST.
Best for embedding governed AI/NL analytics
Best for a broader rollout
Best value with TechBag
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Tell us your requirements and current tools — we’ll model it against what you spend today.
Take this into your next vendor call — including ours.
Want your users to ASK their own questions inside your app? ThoughtSpot embeds Spotter (the AI analyst) — not just static charts.
Do you need a real toolkit: SDK, Visual Embed, Developer Playground, REST APIs, low-code and SpotterCode?
Must it feel native? Can you white-label with custom CSS — fonts, colours, layout — and wire custom actions?
Serving many SaaS customers? Secure multi-tenant isolation, governed answers, live on the cloud warehouse — built for scale.
Embedded accuracy depends on a well-built semantic model — TechBag helps you build it (it's where these projects succeed or fail).
ThoughtSpot Embedded is premium and quote-priced (OEM licensing). What do you need, and at what price with GST?
Weighing Sigma, Looker, Sisense, Qlik or embedded-first GoodData/Explo? TechBag compares honestly.
ThoughtSpot is India-origin with huge Bangalore R&D — TechBag adds local scoping, integration help, INR/GST and support for ISVs.
Scope ThoughtSpot Embedded Analytics (embed governed search, Liveboards & the AI analyst Spotter INSIDE your app — not just static charts) — and let a TechBag advisor scope the embedded licensing and capabilities, help with integration and the semantic model (where success lives), compare vs Sigma/Looker/Sisense/Qlik/GoodData honestly, and add INR/GST and local support.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.