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Embeddable vs Knowi
Embeddable is code-first embedding on a governed semantic layer; Knowi federates live queries so you can embed analytics without a warehouse first.
Side by side
| Embeddable | Knowi | |
|---|---|---|
| Vendor | Embeddable (TMD Technology Limited) | Knowi, Inc. |
| Pricing model | Quote only | Quote only |
| Free tier | No | No |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Open source | No | No |
| Best for | Engineering-led product teams who want code-first, version-controlled embedded analytics on a governed semantic layer. | Teams wanting embedded or internal analytics directly on operational databases without building a warehouse first. |
| Pricing | Flat monthly subscription scoped to the project (Startup, Scale-up and Enterprise tiers); no published usage-based or per-seat charges. Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted. | Tiered by internal user count and deployment type (Basic, Team, Enterprise); machine learning, Document AI and embed access are add-ons on lower tiers. Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted. |
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Verdict
Embeddable and Knowi both target SaaS product teams adding analytics to a multi-tenant application, but they solve a different upstream problem. Embeddable assumes you want version-controlled, code-first control: metrics and row-level, multi-tenant security are defined once on a Cube-based semantic layer and reused across every customer's dashboard, and charts embed as native web components — a single custom HTML tag — rather than an iframe. Knowi assumes the opposite starting point: its federated-query engine joins data across SQL, NoSQL, APIs, and document sources at query time, so a vendor can embed white-labeled dashboards directly on existing operational databases without building a warehouse or ETL pipeline first.
If your data already lives in a clean, modeled warehouse, Embeddable's governed-layer approach pays off. If your data is scattered across several operational systems and building a warehouse first would delay the project by months, Knowi's federated approach gets you to an embedded dashboard sooner.
Choose Embeddable if
- You want metrics and security defined once, in code, under version control, rather than configured per dashboard.
- You're comfortable building on a Cube-based semantic layer and want native web-component embedding, not an iframe.
- Your data already sits in a reasonably modeled warehouse or database.
Choose Knowi if
- Your operational data is spread across SQL, NoSQL, APIs, and documents, and you don't want to build a warehouse first.
- You want natural-language querying and a semantic layer for governed metrics available inside the same product as the embedding SDK.
- You need deployment flexibility spanning managed cloud through on-premises and air-gapped.
What they share
Both support multi-tenant, row-level security scoped per end customer and both are quote-priced rather than published — Embeddable scopes cost to project size (Startup, Scale-up, Enterprise tiers), Knowi to internal user count and deployment type. Neither publishes a self-serve price list, so budget time for a sales conversation with either. See embedded analytics and semantic layer for background.
Last reviewed September 22, 2026