Both let you put analytics inside your B2B product — but they optimize for different things. Embeddable centers on code-defined, pixel-controlled dashboards owned by engineering. tableArth.ai centers on natural-language answers, charts, and auto-built dashboards on the tables you already ship. This page lays out the difference honestly, including where each one is the stronger choice.
Embeddable product specifics below are described as of writing. Verify current details on Embeddable's own site.
A factual summary of emphasis. Neither column is a checklist of what the other product lacks — both ship embedded analytics, with different center of gravity.
| Dimension | tableArth.ai | Embeddable |
|---|---|---|
| Core idea | An embeddable AI analytics layer — ask questions in plain English on existing tables | A developer-first toolkit for building fully custom embedded dashboards in code |
| Primary owner | Product and growth teams, with light front-end work | Engineering, defining data models and components in React |
| How analytics get built | Auto-built dashboards and charts from your data and natural-language questions | Hand-built dashboard components defined in code for pixel control |
| Natural-language query | Core — the engine writes and runs SQL automatically; answers stream in under ~5 seconds | Centers on developer-defined dashboards rather than end-user NL querying |
| Time to first answer | Two lines of code on an existing table, then ask a question | Define models and components first, then ship the dashboard |
| Ways to ship | Drop-in widget, REST API, or Chrome extension | Code-defined dashboards embedded into your React app |
| Design control | White-label, themeable via CSS variables; layout is auto-generated | Maximum — every component, interaction, and pixel is yours |
| Privacy controls | Four modes (Full AI, Masked, Hybrid/stats-only, Local template) per customer, workspace, or table | Verify current data-handling and privacy options on Embeddable's site |
| Pricing | Usage-based, sales-led — see pricing | Check Embeddable's site for current pricing |
Comparison reflects each product's stated emphasis as of writing, not a judgment of capability. Confirm specifics on the respective vendor sites.
The clearest way to frame it: Embeddable centers on building embedded dashboards, while tableArth.ai centers on answering questions on the data you already show.
A code-first toolkit. Engineers define data models and dashboard components in React and assemble fast, interactive, fully custom dashboards with pixel-level control. The result is owned and designed by your engineering team, end to end.
Code-defined dashboardsAn AI layer on top of tables you already have. Your customers ask questions in plain English; the engine writes and runs SQL, picks the right chart, and returns a streaming answer in under about five seconds. Dashboards are auto-built for every table.
Natural-language answersWith a code-first toolkit, building each dashboard is an engineering task. With tableArth.ai, the front-end lift is a two-line widget; the analytics themselves are generated from your data and your users' questions, so product teams can move without a dashboard backlog.
Auto-built vs hand-builtBoth put analytics inside your product without sending users to a separate BI tool, and both can be white-labeled to your brand. The choice is less about features present or absent and more about whether you want to design dashboards in code or generate answers from data.
Embedded, branded analyticsWhere a code-first toolkit assumes you embed a dashboard you built, tableArth.ai gives you three surfaces — and the one that fits in the least time is usually the widget: two lines on a table you already render.
<!-- Drop into any existing data table --> <script src="https://widget.tablearth.ai/v1.js"></script> <table-ai api-key="pk_live_…" target="#revenue-table" user="u_8124" customer="acme" theme="dark" />
We'd rather you pick the right tool than the wrong one. There are clear cases where a code-first dashboard toolkit is the stronger choice:
If those describe you, a code-defined toolkit like Embeddable is built for exactly that. tableArth.ai is the better fit when you want plain-English answers and auto-built dashboards on existing tables with minimal front-end work — and the flexibility to ship via widget, API, or Chrome extension. Read more in build vs buy and our overview of embedded analytics tools compared.
Embeddable is a developer-first toolkit for building fully custom embedded dashboards: you define data models and dashboard components in code (React) and own the result in engineering. tableArth.ai is an embeddable AI analytics layer: you drop a widget into a data table you already have, and your customers ask questions in plain English to get answers, charts, and dashboards in under about five seconds. One emphasizes hand-built, pixel-controlled dashboards; the other emphasizes natural-language answers on existing tables. Verify current details on each vendor's own site.
Minimal. The tableArth.ai widget is two lines of code dropped onto an existing table, white-labelable on your domain and themeable via CSS variables. You can also call the REST API to bring your own UI, or ship the Chrome extension to overlay the AI panel on tables in apps you did not build. There is no data-modeling-in-code step before you can ask a question.
Yes. tableArth.ai auto-builds a dashboard for every table and auto-selects charts across bar, line, area, pie or donut, scatter, stacked bar, funnel, and table. The difference is generation: tableArth.ai builds dashboards automatically from your data and natural-language questions, rather than asking engineers to define each component in code.
tableArth.ai offers four privacy modes you set per customer, workspace, or table: Full AI (the model sees the full table), Masked data (text is tokenized before the LLM and restored in the output), Hybrid or stats only (the model sees only column statistics while rows render locally), and Local template (pure server-side, zero external AI calls). Enterprise plans add bring-your-own-LLM key, SSO, SCIM, role-based access, and audit logging. SOC 2 Type II is in progress. See security for details.
When engineering wants to hand-build bespoke, pixel-controlled dashboards in code and own every component, interaction, and layout detail. If a fully custom, design-owned dashboard surface defined in React is the goal, a code-first toolkit like Embeddable is built for exactly that. tableArth.ai is the better fit when you want natural-language answers and auto-built dashboards on existing tables with minimal front-end work.
Pricing is usage-based and sales-led. There is no public price list. Reach out through the contact page or pricing page and we will scope it to your customer base and deployment.
We'll show you the widget, the API, and the Chrome extension live — on a table that looks like yours.
