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Embedded Analytics
Secure the front door. Email is where most attacks arrive — 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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How it’s rated
Full scoreboard ↓Quick answer
The Postman platform family
This page covers Embedded Analytics (formerly ThoughtSpot Everywhere). The rest of the ThoughtSpot platform:
Quick facts
30-second orientation- Product
- Embedded Analytics (formerly Everywhere)
- Vendor
- ThoughtSpot (founded 2012 · CEO Ketan Karkhanis)
- The category
- Embedded / OEM analytics
- What it does
- Put search, Liveboards & AI INSIDE your app
- The edge
- Embed AI/NL analytics (Spotter) — not just charts
- The toolkit
- Developer SDK, Visual Embed, Playground, REST APIs
- Who it's for
- ISVs, SaaS product teams, platform builders
- The traction
- ~1/4 of ARR · reportedly ~100% YoY growth
- Vs
- Sigma, Looker, Sisense, Qlik, GoodData
- In India via
- TechBag — scoping, licensing, local support, GST
Understand embedded analytics before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is ThoughtSpot Embedded?
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.
Static embedded charts vs embedded AI/NL analytics (ThoughtSpot) — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | Embedded Analytics (Postman) |
|---|---|---|
| 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.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Embed Search & Liveboards
Put ThoughtSpot search, Liveboards and visualisations directly INSIDE your own application, portal or product — so your users analyse data without ever leaving your UI. Analytics, native to your product. Right where they work.
Embed the AI Analyst
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: embed AI/NL analytics. The differentiator. Ask, inside your app.
Developer SDK & Visual Embed
A Developer SDK and the Visual Embed library make embedding straightforward — drop in full-app, Liveboard, search or Spotter components. A Developer Playground lets you prototype fast. Build it in, quickly.
REST APIs & Low-Code
REST APIs and low-code components give you flexibility — automate, provision, and compose analytics into your product your way. SpotterCode generates integration code to speed it up. Your product, your way.
Governed & White-Labelled
Answers stay grounded in your governed semantic model, style it to match your brand (white-label), and secure multi-tenant access — so embedded analytics is trusted, on-brand and scales across customers. Governed, branded, at scale.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Twelve capabilities. Embed, customise, scale.
ThoughtSpot Embedded lets you put search, Liveboards & AI (Spotter) INSIDE your own app — the embedded/OEM analytics line of portfolio, and paired with the human firewall.
Visual Embed Library
The Visual Embed library lets you drop ThoughtSpot components — full app, Liveboards, search, Spotter — straight into your web app with a few lines of code. Embed analytics, fast. Into your UI.
Developer SDK
A full Developer SDK gives you the primitives to embed and control ThoughtSpot inside your product — authentication, events, actions and rendering — for a native experience. The toolkit for developers. Build it in.
Embed Spotter (AI Analytics)
Embed Spotter — the AI analyst — so your users ask questions in plain language and get governed answers, inside your app. Embed AI/NL analytics, not just static charts. The edge. Ask, in your product.
Developer Playground
A Developer Playground lets you prototype and preview embeds interactively — tweak, generate the code, and see it live — so integration is fast and low-risk. Try it before you ship. Prototype quickly.
White-Label & Custom Styling
Style embedded analytics to match your brand — fonts, colours, layout, custom CSS — and white-label it so it feels like a native part of YOUR product, not a bolt-on. On-brand, native-feeling. Your look.
REST APIs & Automation
REST APIs let you automate provisioning, manage content, orchestrate access and integrate ThoughtSpot deeply into your product's backend and workflows. Programmatic control. Automate everything.
Low-Code Components
Low-code components let product teams compose analytics into the app without heavy engineering — faster to build, easier to maintain. Compose, don't hand-build. Ship analytics sooner.
SpotterCode — AI Integration Code
SpotterCode generates code to embed ThoughtSpot analytics into your app — AI-assisting the integration work so developers ship faster. AI for the embedding job. Integrate, quicker.
Custom Actions & Events
Wire custom actions and events between your app and the embedded analytics — so a click in a chart triggers YOUR workflow, and your app drives the analytics. Two-way, contextual. Deeply integrated.
Multi-Tenant Security
Secure, isolated multi-tenant access — each of your customers sees only their own data, governed by row-level security and access controls — essential for a SaaS product serving many tenants. Isolated, secure. One deployment, many customers.
Governed, Live on the Warehouse
Embedded answers stay grounded in your governed semantic model and query live on the cloud warehouse (Snowflake, Databricks, BigQuery) — so what your users see is trusted and current. Governed, current, at scale.
Differentiate & Monetise
Embedded search + AI becomes a product differentiator you can monetise — drive engagement, upsell an analytics tier, and stand out from competitors shipping static charts. Analytics as a revenue line. Your product, more valuable.
Watch ThoughtSpot Embedded in action
The overview, getting started, and protecting M365 email.
Spotter — the AI Analyst for Your Business Data
The AI analyst you can embed.
Introducing the ThoughtSpot Agentic Analytics Platform
The platform behind embedded.
SpotterModel, SpotterViz & SpotterCode — the BI A-Team
SpotterCode assists integration.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →The endpoint catches what arrives. Email stops it arriving.
Here’s what genuinely sets ThoughtSpot Embedded apart (and where a rival competes).
Embed AI/NL analytics — not just static charts — inside your product
The single biggest reason ISVs and product teams choose ThoughtSpot for embedded is that you can embed AI-driven, GOVERNED natural-language analytics (Spotter) into your product — not just static dashboards and charts, which is what most embedded-analytics offerings give you. The problem it solves: your customers no longer want to stare at a fixed dashboard someone else designed — they want to ASK their own questions of the data, right inside your app, and get answers. Most embedded-analytics tools only let you drop in pre-built charts and Liveboards; the moment a user has a new question, they're stuck. What ThoughtSpot provides: you can embed SEARCH and the AI ANALYST (Spotter) directly in your product — so YOUR users type or ask a question in plain language ('show me my top accounts by revenue this quarter') and get a governed, trustworthy answer, natively in your UI. That's a genuinely different embedded experience: interactive, conversational, AI-driven — not a static picture. And because it's grounded in a governed semantic model, the answers are trusted, not chatbot guesses. Why it matters: embedding AI/NL analytics turns your product from 'has some dashboards' into 'has an AI analyst inside it' — a real differentiator that drives engagement, stickiness and upsell. In a market where every SaaS product ships charts, embedding search + AI is a standout. The value: ThoughtSpot lets you embed governed AI/NL analytics (Spotter) — not just static charts — inside your product, so your users ask their own questions and get trusted answers. For a differentiated product, this matters. TechBag helps ISVs embed AI analytics. TechBag helps you put an AI analyst inside your product.
A real developer toolkit — SDK, Visual Embed, Playground, REST APIs, low-code
A defining strength of ThoughtSpot Embedded is that it gives developers a REAL, complete toolkit to embed analytics — a Developer SDK, the Visual Embed library, a Developer Playground, REST APIs and low-code components — so integrating analytics into your product is straightforward, flexible and fast, not a bolt-on hack. The problem it solves: embedding analytics badly is easy — an iframe that looks foreign, breaks on styling, and can't talk to your app. Product teams need to embed analytics that feel NATIVE, respond to their app's context, and are quick to build and maintain. What ThoughtSpot provides: the Visual Embed library drops in full-app, Liveboard, search or Spotter components with a few lines of code; the Developer SDK gives you control over authentication, events, actions and rendering; the Developer Playground lets you prototype and generate code interactively; REST APIs automate provisioning and content; low-code components let product teams compose analytics without heavy engineering; and SpotterCode AI-generates integration code. So you get the full spectrum — from quick drop-in to deep, custom, event-driven integration. Why it matters: a strong developer toolkit is the difference between an embedded-analytics project that ships in weeks and one that drags for months (or feels bolted-on forever). ThoughtSpot's SDK-and-Playground approach is built for product teams who want native, maintainable, fast integration. The value: ThoughtSpot Embedded gives developers a complete toolkit — SDK, Visual Embed, Playground, REST APIs, low-code, SpotterCode — so embedding analytics is fast, native and maintainable. For product teams, this matters. TechBag helps ISVs integrate with the toolkit. TechBag helps your developers embed analytics, fast.
White-label, on-brand, native-feeling — analytics that look like YOUR product
A core value of ThoughtSpot Embedded is that you can WHITE-LABEL and fully style the analytics — fonts, colours, layout, custom CSS — and wire custom actions and events — so embedded analytics feel like a native part of YOUR product, not an obvious third-party bolt-on. The problem it solves: users can smell a bolted-on analytics tool instantly — different fonts, a foreign UI, a jarring context switch. That erodes trust in your product and the analytics. Product teams need analytics that look and behave as if you built them. What ThoughtSpot provides: deep customisation and white-labelling — match your brand's fonts, colours and layout with custom CSS; remove ThoughtSpot branding; and wire custom actions and events so a click in a chart triggers YOUR workflow and your app drives the analytics. The result: analytics that feel native, contextual and on-brand — a seamless part of your product. Why it matters: native-feeling, on-brand embedded analytics preserve your product's identity and user trust, and make the analytics feel like a first-class feature you built — which is exactly what drives adoption and the perception of value. Bolt-ons get ignored; native features get used. The value: ThoughtSpot Embedded is white-label and deeply stylable, with custom actions and events — so analytics feel native and on-brand in YOUR product. For a seamless product experience, this matters. TechBag helps ISVs white-label and style embeds. TechBag helps you make analytics feel like part of your product.
Governed, multi-tenant and live on the warehouse — built for SaaS scale
A key architectural strength of ThoughtSpot Embedded is that it's built for SaaS scale — secure multi-tenancy (each customer sees only their data), governed answers grounded in a semantic model, and live query on the cloud data warehouse — so embedded analytics is trusted, isolated and current across many customers. The problem it solves: when you embed analytics into a multi-tenant SaaS product, you face hard requirements — strict data isolation (customer A must never see customer B's data), governance (the numbers must be right and consistent), and scale/freshness (current data, at warehouse scale, across all tenants). Get isolation wrong and it's a breach; get governance wrong and users distrust the numbers. What ThoughtSpot provides: secure multi-tenant access with row-level security and access controls so each customer sees only their own data; answers grounded in your governed semantic model so they're accurate and consistent; and live query on the cloud warehouse (Snowflake, Databricks, BigQuery) so the data is current, at scale, with no stale extracts. It's the architecture a SaaS product needs to embed analytics safely for many customers. Why it matters: multi-tenant isolation plus governance plus live-warehouse scale is exactly what separates a serious embedded-analytics platform from a demo — it's what lets you ship analytics to hundreds of customers with confidence. The value: ThoughtSpot Embedded gives you secure multi-tenancy, governed answers and live-warehouse scale — built for embedding analytics across many SaaS customers safely. For SaaS scale, this matters. TechBag helps ISVs deploy multi-tenant embeds. TechBag helps you embed analytics safely, at scale.
An India-origin analytics leader — and TechBag adds the local layer for ISVs
ThoughtSpot is an India-origin analytics leader — founded by Indian-origin engineers with enormous India R&D — and for Indian ISVs and product teams TechBag adds the local scoping, licensing and INR/GST support that make adopting a premium embedded platform practical. The India story: ThoughtSpot was co-founded by Ajeet Singh (also a Nutanix co-founder) and Amit Prakash (ex-Google, who worked on ML for Google Ads) — both Indian-origin — and it has MASSIVE India engineering: R&D centres in Bangalore (since 2017), Trivandrum and Hyderabad, plus an India Customer Center of Excellence. India isn't a support office; it's core product engineering. That's genuine relevance for Indian buyers, and it means strong local talent familiarity. Well-suited to Indian ISVs and SaaS builders: India has a booming SaaS and product-engineering ecosystem, and embedding search + AI analytics is a real way for Indian products to differentiate and monetise — while embedded (OEM) is now roughly a quarter of ThoughtSpot's ARR with reportedly ~100% YoY growth, so it's a serious, invested line. Where TechBag adds value: ThoughtSpot Embedded is premium, quote-priced (in USD), and success depends on integration effort and a well-built semantic model — so TechBag adds local scoping (embedded licensing model, capabilities), honest comparison (vs Sigma, Looker, Sisense, Qlik, GoodData), integration and semantic-model help, INR/GST invoicing and local support. The value: ThoughtSpot is an India-origin analytics leader with huge India R&D — and TechBag adds local scoping, integration help, INR/GST and support for ISVs. TechBag supplies it with local support. TechBag provides ThoughtSpot Embedded, made local for India.
The honest scope
ThoughtSpot Embedded Analytics (formerly ThoughtSpot Everywhere) lets ISVs, SaaS product teams and platform builders put search, Liveboards and AI (Spotter) INSIDE their own apps — via a Developer SDK, Visual Embed library, Developer Playground, REST APIs and low-code components (SpotterCode assists integration). Its differentiator is embedding AI/NL analytics, not just static charts. ThoughtSpot (founded 2012; CEO Ketan Karkhanis; a Leader in the 2026 Gartner MQ for Analytics & BI; Indian-origin, huge India R&D). The honest framing — strengths, and where rivals compete: ThoughtSpot Embedded's strengths are embedding governed AI/NL analytics (Spotter) into your product (not just dashboards), a real developer toolkit, deep white-labelling and customisation, and multi-tenant, governed, live-warehouse scale. The competitive landscape is real — this is a crowded embedded/OEM market: Sigma has a strong embedded offering (spreadsheet-like, warehouse-native, developer-friendly); Looker (Google) offers embedded analytics with LookML governance and deep GCP integration; Sisense is a long-standing embedded-analytics specialist (white-label, developer-oriented, infused analytics); Qlik has embedded analytics with its associative engine and APIs; and GoodData (and newer players like Explo) are embedded-FIRST platforms built specifically for embedding analytics into products. Honest caveats: ThoughtSpot is PREMIUM and historically OPAQUELY priced (quote-based, in USD) — embedded/OEM licensing is negotiated, not a simple public list; success depends on your integration effort and a well-built semantic model; it's cloud-DW-oriented (best if you run Snowflake/Databricks/BigQuery); and pure embedded-first rivals (GoodData/Explo) or established embedded specialists (Sisense) may fit some products better on price or model. So the honest positioning: to embed GOVERNED AI/NL analytics (search + an AI analyst, not just charts) into your product — ThoughtSpot leads; for a warehouse-native, spreadsheet-style embed, weigh Sigma; for LookML-governed embedding on GCP, Looker; for an established embedded specialist, Sisense; for the associative engine, Qlik; for an embedded-first, lighter-weight platform, GoodData/Explo. TechBag scopes ThoughtSpot Embedded honestly — the right embedded licensing and capabilities, integration and semantic-model help, comparison vs Sigma/Looker/Sisense/Qlik/GoodData, and licensing and supporting it locally with GST.
The numbers behind the platform
What your ThoughtSpot Embedded journey looks like
Scoping (& embedded model)
What do you want to embed — search, Liveboards, Spotter (the AI analyst)? — which capabilities, which cloud warehouse (Snowflake/Databricks/BigQuery), and the embedded/OEM licensing model. TechBag scopes it and compares vs Sigma/Looker/Sisense/Qlik/GoodData honestly.
Connect, model & prototype
Connect ThoughtSpot live to your warehouse, build the governed SEMANTIC MODEL (critical for accuracy), and prototype the embed in the Developer Playground. Get the model right, prove the embed fast.
Integrate & white-label
Embed with the Visual Embed library and SDK, style and white-label to match your brand, wire custom actions/events, and secure multi-tenant access. SpotterCode helps the integration. Make it native.
Scale & monetise
Roll out to your customers, add Spotter (embedded AI analyst), monetise an analytics tier, and refine the model. TechBag supports you locally (GST).
Trusted across regulated industries in 100+ countries
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“We embedded search and Spotter into our SaaS product — now our customers ask their own questions in plain language, inside our app. That's a differentiator none of our competitors' static dashboards can match.”
“The Visual Embed library and Developer Playground got us from prototype to shipped in weeks. The SDK gave us the control we needed for a native-feeling experience, not an iframe bolt-on.”
“White-labelling was the deciding factor — the embedded analytics look exactly like our product. Custom CSS, our fonts, our colours, and custom actions wired into our workflows. Users don't know it's ThoughtSpot.”
“Multi-tenant isolation on the cloud warehouse was non-negotiable for us — each customer sees only their data, governed and live. That architecture let us ship embedded analytics to hundreds of tenants with confidence.”
“Honest: it's premium, and we did evaluate Sigma and GoodData since they're embedded-focused too. But for embedding an AI analyst — not just charts — ThoughtSpot won. TechBag gave us that honest comparison.”
“Success hinged on the semantic model — get that right and the embedded answers are trustworthy. TechBag helped us build the model properly, which is exactly where these embedded projects succeed or fail.”
“Embedded analytics became a revenue line for us — we monetise an analytics tier that our customers actually use because it's an AI analyst, not a static report. TechBag helped us weigh the options honestly, not just sell one.”
“That ThoughtSpot is India-origin with huge Bangalore R&D gave us confidence and local relevance for our India-built product. TechBag scoped the embedded licensing, helped with integration, and handled GST.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the Embedded / OEM analytics market — tap any vendor to see why it sits where it does.
TechBag Email-Security Grid
Execution strength vs product vision — the classic market map, minus the paywall.
Embed governed AI/NL analytics. This page.
Detection × Portfolio Integration
The grid nobody publishes — how strong the email detection is vs how integrated with the wider security portfolio.
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.
ThoughtSpot Embedded vs the embedded / OEM analytics field
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 |
Which email-security approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose ThoughtSpot Embedded if…
- ✓You want to embed GOVERNED AI/NL analytics (Spotter) into your product — not just static charts
- ✓You want a real developer toolkit — SDK, Visual Embed, Playground, REST APIs, low-code (SpotterCode)
- ✓You want deep white-labelling and multi-tenant, live-warehouse scale for a SaaS product
- ✓You're an ISV / product team on the modern data stack — with TechBag adding scoping, integration help & GST
Sigma if…
- ✓You want a warehouse-native, spreadsheet-style embedded experience that's developer-friendly
Looker if…
- ✓You want LookML-governed embedding and deep Google Cloud integration
Sisense if…
- ✓You want an established, embedded-focused analytics specialist with deep white-labelling
Qlik / GoodData if…
- ✓You want Qlik's associative engine, or an embedded-first, lighter-weight platform (GoodData/Explo)
What do email threats cost you?
Drag the sliders (end users of your app; data questions per week; 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 actual device counts and modules.
Three ways to consume it
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.
ThoughtSpot Embedded (premium, by quote)
Best for embedding governed AI/NL analytics
- Embed search + Liveboards + Spotter (AI analyst) in your app
- Developer SDK, Visual Embed, Playground, REST APIs, low-code
- OEM/embedded licensing — quote-based, USD; multi-tenant, live warehouse
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
+ integration & semantic model & local support
Best value with TechBag
- Integration help + critical semantic-model help (where projects succeed or fail)
- Honest Sigma / Looker / Sisense / Qlik / GoodData comparison
- TechBag adds white-label guidance, INR/GST invoicing & local support
Buy it for less — TechBag pricing beats list
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.
Get an India-ready quote
Tell us your device counts and current tools — we’ll model it against what you spend today.
The 8 questions to ask every vendor
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.
Need a real toolkit? SDK, Visual Embed library, Developer Playground, REST APIs and low-code components — with SpotterCode for AI-assisted integration.
Must it feel native? Deep white-labelling and custom CSS — your fonts, colours, layout — plus custom actions/events, so it looks like YOUR product.
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) — TechBag scopes what you need and quotes current figures, 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.
Questions buyers ask
Ready to put an AI analyst inside your product?
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.