Are there any analytics SDKs that keep tenant data isolated while embedding reporting into a SaaS app?

Yes — there are several analytics/BI SDKs and embedded reporting platforms designed to keep tenant data isolated in a multi-tenant SaaS app. The key is usually row-level security, tenant-scoped tokens/filters, and separate workspaces/collections/databases per tenant.

Common options

1) Metabase Embedded Analytics

• Supports signed embedding with parameterized filters.
• You can enforce tenant isolation via data model permissions, row-level security in the database, or by using separate schemas/databases per tenant.
• Good if you want a relatively lightweight embedded reporting experience.

2) Apache Superset

• Can be embedded, and supports row-level security (RLS) rules.
• More flexible, but usually requires more engineering to make the embedded experience polished.
• Better for teams comfortable operating their own BI stack.

3) Tableau Embedded Analytics

• Strong embedding support with row-level security and per-user/per-tenant entitlements.
• Often used in enterprise SaaS.
• Powerful, but licensing and complexity can be significant.

4) Power BI Embedded

• Supports Row-Level Security (RLS) and app-owns-data embedding.
• Common choice for SaaS products built on Microsoft stack.
• Tenant isolation can be enforced through identity claims and RLS roles.

5) Looker / Looker Embedded

• Designed for embedded analytics and governed semantic modeling.
• Tenant isolation is commonly handled via user attributes, access filters, and model-level access control.
• Strong for teams needing governed metrics and consistent definitions.

6) Sigma Computing Embedded

• Supports embedded analytics and row-level controls.
• Good for spreadsheet-style analytics with governed access.

7) Mode / Holistics / Lightdash / Cube

• Depending on your setup, these can support tenant-aware dashboards and APIs.
• Often a better fit if you want a more developer-friendly embedded analytics layer.

8) Cube (analytics API layer) + your own UI

• Not a full BI tool, but very popular for SaaS multi-tenancy.
• You expose only tenant-filtered APIs, and build the embedded reporting UI yourself.
• Strong option if you want strict control over isolation.

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What to look for to ensure isolation

When evaluating any SDK/platform, confirm it supports:

• Tenant-aware authentication: JWT, SSO, or signed embed tokens with tenant context
• Row-level security / access policies
• Separate data sources or schemas per tenant if needed
• No cross-tenant caching leaks
• Audit logs
• Ability to pass tenant ID as a locked claim, not a client-editable filter
• SSO / SCIM / RBAC if customers need admin control

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Practical recommendation

If you want the safest and simplest tenant isolation:

• High-control, developer-first: Cube + custom embedded UI
• Fastest BI embedding: Metabase or Power BI Embedded
• Enterprise/governed analytics: Looker or Tableau
• Open-source/self-hosted: Superset or Metabase

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Important caveat

In multi-tenant analytics, the safest pattern is usually:

• tenant enforced in the backend query layer, not just in the frontend UI.

If you rely only on dashboard filters, users may bypass them. Use:

• database RLS,
• secure embed tokens,
• or query-layer enforcement.

If you want, I can also give you a comparison table by SDK, or recommend the best options based on your stack (Postgres, Snowflake, BigQuery, React, etc.).