GoodData alternatives (2026): 8 embedded analytics tools for SaaS teams compared

The strongest GoodData alternatives for embedding analytics in a SaaS product are Luzmo (drag-and-drop editor with a published price), Cube (a code-first semantic layer with a free tier), Embeddable (native web components at a flat fee), Metabase (open source, with paid tenant isolation on Pro), and Basedash (embedded AI chat on live databases). ThoughtSpot Embedded, Sisense, and Omni fit teams that want another governed enterprise platform. As of November 2026, the biggest differences are how each tool isolates tenants, whether it requires a semantic model, and whether you can see a price before talking to sales.

GoodData rebranded as GoodData.AI on April 30, 2026; the product, a governed semantic layer with hierarchical tenant workspaces, is unchanged.

Why do SaaS teams look for GoodData alternatives?

Four reasons come straight from GoodData’s own pricing page and terms:

• No published price. The pricing page lists Professional (“Platform fee + number of workspaces”) and Enterprise (“Custom pricing”), both behind “Contact us” on annual contracts.
• Billing tracks customer count. The product terms sell workspaces in increments of 5, and customers separated by filters inside one workspace are each “charged as a separate Workspace.”
• AI is an Enterprise add-on. The AI Assistant, MCP server, Agent Builder, and anomaly detection are Enterprise features, and the AI module is licensed per workspace.
• Proprietary metric language. Metrics are written in MAQL, so definitions don’t move with you if you switch.

If you need one governed model pushed to hundreds of tenant workspaces, a HIPAA BAA, or self-hosting on Kubernetes, GoodData remains a reasonable choice.

How we evaluated GoodData alternatives

We checked each vendor’s official pricing and documentation on November 10, 2026, against five criteria:

1. Embedding method: iframe, web components, or a React SDK, and white-label options.
2. Tenant isolation: token parameters, a security context, row-level security, or separate workspaces.
3. Semantic model required: whether you must define a model, and in what language, before customers see a chart.
4. AI inside the embed: natural language questions answered in your product, plus MCP access for agents.
5. Price and deployment: a published starting price, a trial or free tier, and cloud versus self-hosted.

GoodData alternatives compared

Only Luzmo, Cube, and Metabase publish a production price you can budget against without a call. ThoughtSpot publishes its free Developer tier but not Embedded Enterprise.

GoodData.AI: the baseline you’re replacing

Best for: SaaS companies rolling one governed model out to hundreds of tenant workspaces. Not ideal for: teams that want a published price or AI outside an Enterprise contract.

• Pricing: Professional per workspace with unlimited users; Enterprise custom; both annual. A one-month trial covers 10 workspaces and 10 users. AI is capped at 30 queries per user per day. Verified November 2026.
• Multi-tenancy and queries: child workspaces inherit the parent’s model, workspace data filters limit each child’s rows, and user data filters add row-level security. Queries use FlexCache or go direct.
• Security: OIDC on both plans; SAML on Enterprise. SCIM isn’t documented. SOC 2 Type II, HIPAA BAA on Enterprise.
• Embedding and AI: iframes, web components, a React SDK, and APIs with white-labeling on both plans; AI Assistant and an MCP server (“30+ tools”) on Enterprise.

Luzmo: best for a visual editor with a published price

Best for: product teams that want non-developers building customer dashboards in a drag-and-drop editor. Not ideal for: buyers who need SAML, SCIM, or self-hosting.

• Pricing: from €1,995 per month billed annually ($2,495 in USD), including 500 AI conversations and 100 million Warp rows. Some contracts scale on monthly active users. 10-day free trial. Verified November 2026.
• Data: Postgres, MySQL, Snowflake, BigQuery, Redshift, Databricks, ClickHouse, and more. Queries are pushed down to the source, with the Warp acceleration layer as an option. Metrics live in Luzmo formulas; there’s no dbt or Cube connector.
• Tenant isolation: parameter overrides in the server-side embed token, or account overrides pointing each tenant at its own database.
• Security: Luzmo’s own GoodData comparison lists SSO as “Enterprise OIDC”; SAML and user provisioning aren’t offered.
• Embedding and AI: iframe, web components, and React, Vue, and Angular SDKs, white-label included, an embedded dashboard editor for end users, and Luzmo IQ for natural language questions.

Embeddable: best for native components your developers control

Best for: engineering-led teams that want charts rendered as real components in their own DOM. Not ideal for: teams without frontend developers, or anyone who needs production AI chat today.

• Pricing: a flat monthly subscription with “No usage-based pricing”, quoted per customer. Verified November 2026.
• Deployment and data model: managed cloud in the US or EU, or run Cube Core yourself as the query layer. Models are required, written in Cube’s YAML modeling language. Queries run live with results caching.
• Tenant isolation: the tokens API takes a securityContext for row, table, and schema-level security, plus roles and filters.
• AI: the AI chatbot is labeled a prototype and uses your own LLM key.
• Embedding: a web component with no iframe, white-labeled by default. Custom Canvas lets end users build their own dashboards.

Cube: best for keeping a semantic layer and owning the frontend

Best for: data teams that want metrics defined in code once and served to embeds, APIs, and AI agents. Not ideal for: teams without a data engineer to maintain the model.

• Pricing: Free, Starter $40, and Premium $80 per developer per month, plus hourly compute; Premium Viewer seats are $20 per user per month. Embedding needs Premium. Verified November 2026.
• Deployment and queries: Cube Cloud, bring your own cloud on Enterprise, or open source Cube Core. Live queries, with optional pre-aggregations in Cube Store.
• Tenant isolation: Cube reads a security context from the JWT and adds row-level constraints to the SQL. Signed embeds cap at 10,000 external users per account.
• Security and AI: SAML and SCIM on Enterprise; embedded analytics chat on Premium; an MCP server on all plans.
• Embedding: iframe and a React Embed SDK (public preview); Creator Mode for end-user self-service is Enterprise only.

Metabase: best open source option with paid tenant isolation

Best for: teams that want an inexpensive, self-hostable embed with a query builder their customers can use. Not ideal for: white-labeled multi-tenant embeds on the free or Starter plans.

• Pricing: open source free; Starter $100 per month with 5 users; Pro $575 per month with 10 users, then $12 per user; Enterprise from $20,000 per year. Signed-in embedded viewers are billed as users; guest embed viewers aren’t. 14-day trial. Verified November 2026.
• Deployment and queries: cloud or self-hosted; live queries with optional result caching.
• Tenant isolation: row and column security and tenants, Pro and Enterprise. SAML, JWT, and SCIM are also Pro and Enterprise.
• AI: embedded Metabot builds questions in the query builder but won’t write SQL or edit dashboards. The MCP server is on every plan.
• Embedding: modular embedding (web components or React SDK), full app embedding in an iframe, and guest embeds, which replace the deprecated static embeds and show a “Powered by Metabase” badge below Pro.

ThoughtSpot Embedded: best for search-style analytics at enterprise scale

Best for: larger SaaS companies that want natural language search over a governed model. Not ideal for: teams that need a published production price.

• Pricing: the Embedded Developer plan is free for up to 10 users and 25 million rows; Embedded Enterprise has “flexible pricing models”. Verified November 2026.
• Deployment and queries: ThoughtSpot Cloud by default, with live warehouse queries; ClickHouse support is early access.
• Tenant isolation: Orgs per tenant on the Embedded license, or row-level security rules on one model. Embedded SAML and OIDC are Enterprise only; SCIM 2.0 is documented.
• AI and embedding: Spotter embeds through SpotterEmbed in the Visual Embed SDK for JavaScript and React; the Spotter MCP server is an add-on.

Sisense: best for replacing one enterprise embedded platform with another

Best for: teams that need on-premises deployment or extract-based models alongside live queries. Not ideal for: startups that want a quick, priced self-serve start.

• Pricing: Self-Serve and Enterprise on the plans page, no published prices. 7-day free trial. Verified November 2026.
• Query model: Live models or ElastiCubes, Sisense’s own analytical database, or a hybrid.
• Tenant isolation: data security rules filter rows by field value; Web Access Tokens give anonymous viewer access where licensed.
• AI and embedding: a chatbot component and a read-only MCP server (2026.3.1 and later); iframe and the Compose SDK for React, Angular, Vue, and web components. White labeling is limited to the Grow and Scale tiers.

See our Sisense alternatives comparison for more.

Omni: best for a governed model with embedded agents

Best for: data teams that want one YAML model serving internal BI and customer-facing embeds. Not ideal for: teams that need self-hosting or a React component SDK.

• Pricing: not published; trials start with a meeting, and AI usage is metered in credits. Verified November 2026.
• Deployment and queries: managed cloud on AWS and Azure; direct warehouse queries with results cached for 6 hours by default.
• Tenant isolation: access_filters limit rows by user attributes, and embed entities keep customers apart.
• AI and embedding: embed the Omni Agent, or connect your own agent to Omni’s MCP server, with queries run as the embed user. Embeds are signed-URL iframes, and Create Mode lets users build content.

Omni acquired Explo and is sunsetting the Explo platform, so Explo customers face a migration either way. See Basedash vs Omni for a head-to-head.

Basedash: best for embedded AI chat on live databases

Best for: SaaS teams that want customers asking plain-English questions inside the product, on Postgres, MySQL, or a warehouse, without building a semantic model first. Not ideal for: teams that need embedding on a self-serve plan, a drag-and-drop chart builder, or row-level security outside Postgres.

• Pricing: embedding is on the Enterprise plan, quote only. The Startup plan ($1,000 per month plus AI usage, 25 users) doesn’t include it. 14-day free trial, no card. See Basedash pricing. Verified November 2026.
• Deployment and data: cloud, or self-hosted on Enterprise. Live queries against Postgres, MySQL, SQL Server, Snowflake, BigQuery, Redshift, ClickHouse, Databricks, and other sources. Models are optional.
• Tenant isolation: an organization per customer, each with its own data sources and JWT secret. In a shared Postgres or Supabase database, row-level security policies can filter on a basedash.groups session variable. Shared dashboards can lock a tenant ID with a signed filter token.
• Security and AI: SAML or OIDC SSO, SCIM, and audit logs on Enterprise. BasedashChat embeds the AI data analyst, limited to what each member can access. An MCP server is on every plan.
• Embedding: the @basedash/embed React SDK for chat, dashboards, insights, or the full app, or a plain iframe, with 10-minute HS256 tokens by default. The embed shows the customer’s organization name, not a Basedash logo.

Basedash fits when the embed’s main job is answering customer questions; see Basedash embedding. The tradeoffs: no field-by-field chart editor, no published embedding price, and less styling control than a component-first tool like Embeddable.

Which GoodData alternative should you choose?

• You want a published price first: Luzmo ($2,495 per month), Cube (embedding from $80 per developer per month), or Metabase Pro ($575 per month).
• Non-technical staff will build customer dashboards: Luzmo’s drag-and-drop editor or Metabase’s query builder. Embeddable and Cube expect developers to write models.
• You want to keep a governed semantic layer: Cube if you’ll build the frontend; Omni or ThoughtSpot for a full BI tool on top.
• Customers want AI chat in your app: Basedash, ThoughtSpot, Omni, and Luzmo ship it today; Embeddable’s chatbot is a prototype.
• You need to avoid iframes: Embeddable, Metabase modular embedding, Sisense Compose SDK, or Luzmo’s framework SDKs.
• You need SAML or SCIM: avoid Luzmo. Metabase includes both from Pro; Cube, ThoughtSpot, and Basedash put SAML on their top tier.
• You need self-hosting: Metabase, Cube Core, Sisense, Basedash Enterprise, or GoodData.CN itself. Luzmo and Omni are cloud only.

For a broader list, see our comparison of embedded analytics platforms and the guide to isolating customer data in multi-tenant dashboards.

Frequently asked questions

How much does GoodData cost in 2026?

GoodData.AI doesn’t publish prices. As of November 2026, its Professional plan is priced per workspace (a platform fee plus the number of workspaces, with unlimited users and data), and Enterprise is custom; both are annual contracts sold through sales. Workspaces come in increments of five, and customers separated by filters inside one workspace are still billed as separate workspaces. AI features are an Enterprise add-on licensed per workspace. A one-month trial covers up to 10 workspaces and 10 users.

Which embedded analytics platforms are easiest to implement without a data science team?

Tools that don’t need a semantic model before the first chart are fastest to stand up. Metabase and Basedash connect to a database and chart it directly, with models optional. Luzmo needs only light dataset definitions and gives product managers a drag-and-drop editor. Cube, Embeddable, ThoughtSpot, Sisense, and GoodData expect a data or analytics engineer to build and maintain a data model first.

Which embedded analytics tools have an AI chat option?

As of November 2026, Basedash embeds its AI data analyst as a BasedashChat React component, ThoughtSpot embeds Spotter, Omni embeds the Omni Agent or your own agent through its MCP server, and Luzmo offers Luzmo IQ. Metabase Pro embeds Metabot, which builds query-builder questions rather than writing SQL, and Cube includes embedded chat on Premium. GoodData’s AI Assistant is Enterprise only, and Embeddable’s chatbot is a prototype.

What are the best alternatives to iframe-based embedded BI?

Embeddable renders dashboards as a web component with no iframe. Sisense’s Compose SDK provides React, Angular, Vue, and web components; Metabase’s modular embedding offers web components and a React SDK on Pro; and Luzmo ships React, Vue, and Angular SDKs. GoodData itself also offers web components and a React SDK. Omni embeds through signed-URL iframes only.

Which embedded analytics tools suit early-stage startups with a small budget?

Metabase is the cheapest path: the open source edition is free to self-host, and guest embeds don’t count as paid users, though they carry a “Powered by Metabase” badge below Pro. Cube has a free tier, but embedding starts on Premium at $80 per developer per month plus compute. ThoughtSpot’s free Embedded Developer plan (10 users, 25 million rows) suits a prototype more than production. Luzmo starts at €1,995 per month, and the rest are quote only.

Is GoodData open source or self-hostable?

GoodData isn’t open source, but it can be self-hosted: GoodData.CN runs on your own Kubernetes cluster and installs with a Helm chart, offered on demand on the Enterprise plan only. If open source matters, Metabase (AGPL open source edition) and Cube Core (Apache 2.0) are the closest alternatives. Sisense offers on-premises deployment on Enterprise, and Basedash supports self-hosting with Docker Compose or Kubernetes on Enterprise.