Tool profile
Embeddable: cost, fit and limits
Embeddable is a code-first embedded analytics platform made by TMD Technology Limited that renders dashboards as a native web component, built on a semantic layer based on Cube data models, with AI chat grounded in that layer.
What to know first
Embeddable publishes no prices. Its pricing page describes a flat monthly subscription with unlimited usage and every feature, pointing to a custom quote shaped mainly by project scope. Plans are described by company stage: startup, scale-up and enterprise. White-labeling is on by default. No free plan is listed, and the security page and DPA were not opened, so risk review needs the vendor's documents.
Embeddable at a glance
| Maker | TMD Technology Limited (trading as Embeddable), United Kingdom |
|---|---|
| Free plan | No |
| Entry price | Quote only |
| API access | Yes |
| Category | Best AI Embedded Analytics Software in 2026, rank 7 of 13 |
| Website | embeddable.com |
Who Embeddable is best for
Engineering teams that keep analytics in git
Data models and components live in your repository and are pushed through the SDK, so changes go through the same review as application code.
Products where an iframe looks wrong
One custom element works in React, Vue or plain HTML, so charts inherit page styling rather than sitting in a frame.
Teams wanting controlled self-serve
Customers filter, drill down and build dashboards within guardrails that the product team defines in the semantic layer, rather than getting an open canvas.
Embeddable plans and pricing
| Plan | Price | What it includes |
|---|---|---|
| Flat monthly subscription | Not published | Unlimited usage, every feature and white-labeling by default, with no usage-based pricing, as the headline model described on the pricing page. |
| Startup / Early stage | Not published | Dashboards and AI chat with rapid setup for teams shipping a first analytics use case. |
| Scale-up / Mid-market | Not published | Stronger governance, workflows and cross-team collaboration. Shown on the pricing page for mid-sized companies, without amounts or limits. |
| Enterprise | Not published | SLAs, support, tailored rollout and high-scale environments. Listed on the pricing page for large deployments, without amounts or contract length. |
Checked November 2026.
What Embeddable does
- Native web component
- A single em-beddable tag renders charts in React, Vue or plain HTML without an iframe, so the analytics inherit the surrounding page's styling and behave like part of the product.
- Open source component library
- The library has 30-plus components beyond the standard chart and table types, which gives front-end developers ready parts to assemble before writing custom ones. Developers can extend them with their own components in the same repository.
- Semantic layer
- Built on Cube-based data models with row-level security, so each customer sees only its own rows, and models live in your repository and are pushed through the SDK.
- AI chat
- Answers plain-language questions with text or live charts, grounded in the semantic layer and respecting row-level security, with bring-your-own LLM support for teams that choose their own model.
- Theming
- Color palettes, a dark mode toggle, font families and a radius setting let a team match the host product, with white-labeling on by default under the flat subscription.
How Embeddable handles your data
Embeddable's policies page was the source checked, and it did not state whether customer data trains AI models, how long data is retained, where it is hosted, or which security certifications the company holds. The G2 badge and the embedded analytics award on the site are not security certifications. The site links a security page, a DPA and a subprocessors list, but they were not opened for this page, so a buyer should request them. AI chat respects row-level security and supports a customer's own LLM.
Where Embeddable falls short in practice
- Quote-only pricing. No price, currency or billing term appears on the page, and scope drives the quote rather than users or views, so cost cannot be estimated before a conversation.
- Developer dependency. The code-first workflow assumes engineers who maintain data models and components in a repository, so a team without front-end capacity would struggle to adopt it.
- Unchecked security pages. A security page, DPA and subprocessors list are linked but were not opened, and the SDK is named while a public API is not stated on the pages checked.
Works with
Alternatives to Embeddable
Embeddable: common questions
How does Embeddable price its product?
The pricing page shows no amounts. It describes a flat monthly subscription with unlimited usage, every feature and white-labeling, and says pricing is mainly based on project scope. Buyers request a custom quote. This was checked in November 2026. Embeddable states no currency or billing term, so ask for both.
Does Embeddable use iframes?
No. The vendor describes a native web component, one em-beddable tag, that works in React, Vue or plain HTML. That lets styling, fonts and theming follow your page, with palettes, a dark mode toggle and a radius setting. The vendor also states it works without an iframe in plain HTML pages.
What is Embeddable's semantic layer based on?
The site says it is built on Cube-based data models, with row-level security. Data models are kept in your own code repository and pushed through the SDK. Cube is listed as the semantic layer basis. Documentation is hosted at docs.embeddable.com for developers.
Can customers build their own dashboards in Embeddable?
Yes, within limits. The vendor describes controlled self-serve, where customers filter, drill down and build dashboards inside guardrails you define. The pages checked do not list per-customer limits on how many dashboards can be created. The pages checked state no limit on dashboards per customer, so confirm it in the quote.
Does Embeddable offer AI chat with my own model?
The vendor lists AI chat that answers questions with text or live charts, grounded in the semantic layer, and says bring-your-own LLM is supported. The pages checked do not name supported model providers or describe data retention. Row-level security still applies to AI answers according to the vendor.