Sisense alternatives (2026): 8 embedded analytics platforms compared on pricing, React SDKs, multi-tenant security, and AI chat

The strongest Sisense alternatives for embedded analytics in 2026 are Luzmo and Databrain for SaaS teams that want published pricing and a fast first embed, Embeddable and GoodData for engineering teams building product-native analytics on a semantic layer, Metabase for a low-cost or self-hosted option, ThoughtSpot Embedded and Sigma for search, AI chat, and live warehouse queries at enterprise scale, and Basedash for teams that want an embedded AI data analyst on their own database. Which one fits depends on how you isolate tenants, whether you need a React SDK, and whether your customers should be able to ask questions in plain English. Every price and plan below was checked on the vendor’s official page on October 1, 2026.

Why SaaS teams look for a Sisense alternative

Sisense is a mature embedded analytics platform. Its Compose SDK supports React, Angular, and Vue, it runs on Sisense’s cloud, your own cloud, or on-premises, and it has an MCP server and natural language query. Teams usually start comparing alternatives for four reasons.

No published pricing. As of October 2026, the Sisense plans page lists a Self-Serve plan and an Enterprise plan with no prices for either. Full white-labeling, a 99.99% SLA, and bring-your-own-LLM are listed under Enterprise, and Sisense’s OEM architecture docs mark white-label OEM deployments as an Enterprise-tier feature. Teams that want to forecast embedded analytics cost per customer often prefer a vendor with a public rate card.

Two data models to manage. Sisense dashboards run on either in-memory ElastiCubes, which are rebuilt on a schedule, or Live models that query the source directly. Teams that already centralized data in Postgres, Snowflake, or BigQuery often want a tool that queries live by default and does not need a separate build step.

Multi-tenancy is an architecture decision. Sisense supports single-tenant servers, shared models with row-based data security, dedicated models per tenant, and a Dynamic ElastiCube plugin that swaps data models per user. The OEM docs note that “there are limitations to the number of ElastiCubes that can be deployed on a single machine,” so large tenant counts can mean more servers. Newer tools push tenant isolation into a signed token and one shared model.

AI chat inside the product. Buyers increasingly ask for an assistant their customers can use, not just AI for internal analysts. Sisense offers one through Sisense Intelligence, and every alternative below takes a different approach to it.

How we evaluated the alternatives

The criteria come from the questions SaaS teams ask AI assistants and Google when they shop for embedded analytics, such as “I want to embed charts into our product and need something that has an AI chat option,” “recommend startup-friendly BI tools that can embed interactive charts into a React app via component SDKs,” “what BI platforms let developers embed dashboards and natural-language query boxes into a multi-tenant SaaS product with usage-based pricing?”, and “databrain vs sisense.”

1. Pricing model and starting price. Per user, per workspace, usage-based, or flat, and whether the price is published.
2. Embedding method. iframe, web components, or a React SDK with typed components.
3. Tenant isolation. How each customer is restricted to its own rows: token-scoped filters, row-level security, or separate workspaces.
4. AI for end users. Whether your customers can ask questions in plain English inside your app, and how it is billed.
5. Security and deployment. SSO for embedded users, SOC 2, and cloud versus self-hosted options.

Every tool had to support customer-facing embedding with tenant isolation and connect to at least PostgreSQL, Snowflake, or BigQuery.

Sisense alternatives comparison table

Sources: Sisense, Luzmo, GoodData, Embeddable, Databrain, Metabase, ThoughtSpot, and Basedash, checked October 1, 2026. Sigma routes pricing to a sales form.

Sisense (the baseline)

Fact card: Sisense

• Pricing (as of October 2026): quote only; Self-Serve for startups and growing teams, Enterprise for regulated industries (plans).
• Trial: 7-day free trial that includes modeling and embedding.
• Query model: in-memory ElastiCubes or Live models on PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery, Redshift, Databricks, and others.
• Security: row-level data access security rules; SSO with JWT, SAML 2.0, or OpenID Connect; Web Access Tokens for viewer access without credentials. SCIM is not covered in the Sisense Linux documentation index.
• AI features: Sisense Intelligence with Simply Ask natural language query, an Assistant, narratives, bring-your-own LLM, and a hosted MCP server with read-only tools.
• Embedding: iframe, Compose SDK for React, Angular, and Vue, and REST APIs; white-label OEM on Enterprise.

Knowing this baseline matters for migration. Most of the work in a Sisense estate lives in ElastiCube transformations and data security rules, not in the dashboards.

Luzmo

Best for: SaaS product teams that want a published starting price, white-labeling included, and an AI assistant their customers can use.

Luzmo is built only for embedded analytics. It sells one plan with the full product, so white-label, self-service dashboard editing, and AI are not held back for a higher tier.

Fact card: Luzmo

• Pricing (as of October 2026): from €1,995 per month, billed annually. The license includes 500 AI conversations and 100 million Warp rows per month; extra Warp rows cost €0.25 or $0.25 per million, and some contracts scale on monthly active users instead (pricing). Free trial.
• Embedding: SDKs for web components, React, Angular, Vue, and React Native, plus the Flex SDK for code-first charts (developer docs).
• Tenant isolation: row-level security through parameterized filters and connection overrides set in the embed token.
• AI features: Luzmo IQ chat and answer components, plus an IQ API that LLM agents can call.
• Security: SOC 2 Type II, GDPR, and EU or US data residency.
• Not ideal for: teams that also want an internal BI tool for analysts, or monthly billing.

Tradeoffs: Luzmo’s single plan removes tier surprises, but the €1,995 floor is high for a product with a handful of customers. Model AI conversation and Warp volume before you sign, since both are metered.

GoodData

Best for: engineering-led teams that want a governed semantic layer, workspace-per-customer multi-tenancy, and unlimited users.

GoodData models multi-tenancy as workspaces. Child workspaces inherit the parent’s data model, metrics, and dashboards, so a change made once reaches every customer.

Fact card: GoodData

• Pricing (as of October 2026): Professional is a platform fee plus a charge per workspace, with unlimited users and data; Enterprise is custom. No dollar figures are published (pricing). 30-day free trial.
• Databases: Redshift, Azure SQL, Databricks, BigQuery, SQL Server, PostgreSQL, Snowflake, Synapse, Vertica, and others.
• Embedding: iframe, web components, APIs, a React SDK for custom UIs, and a Python SDK for backend management; white-labeling and per-customer themes on Professional.
• Security: SSO on Professional; SAML, multiple OIDC providers, and audit logs on Enterprise; SOC 2, GDPR, and ISO 27001; HIPAA on demand.
• AI features: AI Assistant, Dashboard Copilot, anomaly detection, key driver analysis, and an MCP server with 30+ tools, listed on the Enterprise plan. AI queries default to a fair-use limit of 30 per user per day.
• Not ideal for: small teams that want a self-serve price, or teams without someone to own the semantic model.

Tradeoffs: Workspace inheritance is a clean answer to the “dedicated model per tenant” problem Sisense customers run into. Per-workspace pricing means cost grows with customer count, so price it against your tenant forecast.

Embeddable

Best for: product engineering teams that want charts to look and behave like the rest of their app, with no iframe.

Embeddable is a developer toolkit. Engineers build or customize React components, define metrics in Cube-based data models, and ship dashboards as a web component authorized by a short-lived token.

Fact card: Embeddable

• Pricing (as of October 2026): quote only. A flat monthly subscription based on project scope, with unlimited usage and white-label by default, not priced on monthly active users or query volume (pricing). Supported proof of concept.
• Databases: queries your database directly, including PostgreSQL, BigQuery, Snowflake, and MySQL (docs).
• Embedding: HTML web component in React, Vue, Angular, or plain HTML; a production component suite and your own React components; versioned deployments to staging and production.
• Tenant isolation: row-level security enforced server-side from the security context in the embed token, with security filters, SQL-based rules, or access policies.
• AI features: AI chat for end users, an AI model builder, and a Claude skill that scaffolds dashboards as code.
• Security: SOC 2 Type 2 and GDPR.
• Not ideal for: teams without frontend engineers, or teams that want business users to build embedded dashboards alone.

Tradeoffs: Embeddable gives the most control over look and feel in this list, and it asks for the most engineering time in return. Flat pricing is easy to budget once scoped.

Databrain

Best for: startups and midsize SaaS companies that want published monthly pricing, unlimited seats, and unlimited embeds.

Databrain’s pricing page names “Sisense & GoodData replacement” on its Enterprise plan, which answers the “databrain vs sisense” comparison directly: it targets the same customer-facing use case at a published price.

Fact card: Databrain

• Pricing (as of October 2026): Growth $999 per month with multi-tenancy, unlimited seats, unlimited embeds, and one data source; Pro $1,995 per month with unlimited data sources, SSO, and roles; Enterprise custom with self-hosting and multi-region deployment (pricing). 14-day free trial.
• Databases: PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, ClickHouse, and others.
• Embedding: web components with a React guide.
• Tenant isolation: several tenancy models (workspace, datamart, data app, client group) with row-level access through guest-token variables.
• AI features: AI Copilot turns a plain-language question into a metric, AI summaries, natural language search, and an MCP server with 36 tools for building embedded analytics.
• Security: SAML or OIDC SSO on Pro; SOC 2, GDPR, and ISO 27001.
• Not ideal for: teams that need many data sources on the entry plan, since Growth includes one.

Tradeoffs: Databrain is the most direct price-transparent swap for a Sisense embed. It is a smaller vendor, so check support coverage and roadmap during the trial.

Metabase

Best for: teams that want the cheapest path to embedded dashboards, with an open-source or self-hosted option.

Fact card: Metabase

• Pricing (as of October 2026): Open Source free; Starter $100 per month with 5 users included; Pro $575 per month with the first 10 users included, then $12 per user per month; Enterprise from $20,000 per year. Embedded users who sign in count as billable users. Metabase AI costs $3.75 per million tokens, or bring your own key (pricing). 14-day trial on paid plans.
• Deployment: Metabase Cloud or self-hosted; air-gapped on Enterprise.
• Embedding: guest embeds on every plan; the Modular embedding SDK for React, multi-tenant embedding, and white-labeling on Pro and Enterprise.
• Tenant isolation: row and column security and data segregation on Pro.
• AI features: Metabot natural language questions, which Pro lets customers use inside embeds.
• Security: SSO on Pro; SOC 2 Type II and SOC 1.
• Not ideal for: products with thousands of signed-in end users on per-user billing. Metabase says Enterprise offers custom embedding packages for that case.

Tradeoffs: Metabase is the easiest to try. The per-user model is cheap for a few customers and expensive at scale, so model end-user counts before choosing Pro.

ThoughtSpot Embedded

Best for: enterprises that want search and agentic AI analytics embedded at scale, with an SDK for full control.

Fact card: ThoughtSpot Embedded

• Pricing (as of October 2026): quote only, with “flexible pricing models aligned with your use case.” ThoughtSpot Analytics, the internal product, starts at $25 per user per month for 5 to 50 users, and ThoughtSpot says it does not meter LLM tokens (pricing).
• Embedding: Visual Embed SDK, React components, and REST API; custom styles and themes; embedded SSO via SAML, OAuth, and OIDC (developer docs).
• Tenant isolation: multi-tenancy through Orgs, plus row-level security within an Org.
• AI features: Spotter can be embedded with ThoughtSpot’s UI or called without it; automated KPI monitoring and anomaly alerts; the MCP server is an add-on.
• Query model: live connections to Snowflake, Databricks, Redshift, and others; in-memory cache is an add-on.
• Not ideal for: startups that want a published embedded price or a short sales cycle.

Tradeoffs: ThoughtSpot’s embedded AI is among the most complete here, but search quality depends on a well-modeled data layer.

Sigma

Best for: teams on Snowflake, Databricks, or BigQuery that want embedded workbooks and an embedded AI agent on live warehouse data.

Fact card: Sigma

• Pricing (as of October 2026): quote only; the pricing page routes to a sales form. Free trial.
• Embedding: secure embeds signed with JWTs, public embeds, the Embed SDK for React, and iframe events for host-app actions.
• Tenant isolation: user attributes, row-level security, and impersonation passed in the JWT.
• AI features: embedded Sigma agents in a chat element, scoped by row-level security and billed in consumption credits. The older embedded Sigma Assistant is deprecated.
• Security: SAML SSO and SCIM.
• Not ideal for: teams without a cloud warehouse, or teams that want self-hosting.

Tradeoffs: Sigma stores no copy of your data, so warehouse compute becomes part of the embedded bill.

Basedash

Best for: SaaS teams that want customers to ask questions in plain English and get charts and dashboards from their own database.

Basedash is an AI-native BI tool. In an embed, the AI data analyst writes and runs SQL against your live database and saves results to dashboards. See Basedash embedding and the embedded analytics overview for the product details.

Fact card: Basedash

• Pricing (as of October 2026): Startup $1,000 per month plus AI usage for up to 25 users, with $1,000 per month in AI credits; embedding, SSO, SCIM, audit logs, and self-hosting are on Enterprise, priced on request (pricing). 14-day free trial, no card required.
• Embedding: the open-source @basedash/embed React SDK (React 18.2 and 19) with components for AI chat, dashboards, Insights, automations, models, the full app, and read-only shared dashboards, plus raw iframe embedding with JWT SSO, allowed origins, and theme and hide-section parameters.
• Tenant isolation: a Basedash organization per customer provisioned through the API, signed JWTs that lock filters such as company_id on shared dashboards, and row-level security through PostgreSQL policies on the basedash.groups session variable.
• Databases: live queries on PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery, Redshift, and others, plus 750+ SaaS sources synced into the managed Basedash Warehouse.
• AI features: chat analysis, AI-generated dashboards, daily anomaly detection with Insights, and an MCP server.
• Security: SOC 2 Type II.
• Not ideal for: teams that need a self-serve embedded price, BI-layer row-level security on databases other than Postgres, or pixel-perfect report layouts.

Tradeoffs: Basedash’s embedded experience centers on AI chat rather than a chart component library, which suits products whose customers ask open-ended questions. The React SDK is young (version 0.2 on npm as of October 2026), so teams that need a large catalog of hand-tuned chart components should look at Embeddable or Luzmo.

Other options: Explo, Power BI Embedded, and Qrvey

Explo still sells customer-facing dashboards and report builders but no longer publishes a pricing page; the Explo alternatives comparison covers its tradeoffs. Power BI Embedded suits Microsoft shops that can buy Fabric capacity. Qrvey, Reveal, and Bold BI are covered in the white-label analytics platforms comparison.

Which Sisense alternative should you choose?

• You want a published price for embedded analytics: Databrain ($999 per month) or Luzmo (from €1,995 per month). Metabase Pro if your end-user count is small.
• You need to embed charts in a React app through a component SDK: Embeddable for full control, Luzmo or GoodData for SDKs on a managed platform, Metabase’s Modular embedding SDK on a budget, or the Basedash React SDK for AI chat components.
• Your customers should chat with their data inside your product: Luzmo IQ, ThoughtSpot Spotter, Sigma agents, or Basedash.
• You have hundreds of tenants with the same schema: GoodData workspaces with inheritance, ThoughtSpot Orgs, or token-scoped row-level security in Embeddable or Luzmo.
• You need on-premises or self-hosted deployment, as many Sisense customers run today: Metabase, Databrain Enterprise, GoodData on demand, or Basedash Enterprise.
• Your data lives in Snowflake or Databricks and you want live queries only: Sigma or ThoughtSpot.

For architecture choices behind tenant isolation, read how to isolate customer data in embedded dashboards. For a broader market view, see the embedded analytics platforms comparison.

How to plan a migration off Sisense

1. Inventory embedded dashboards by usage. Migrate the dashboards customers open, not every widget.
2. Move ElastiCube logic upstream. Rebuild transformations in your database or dbt so the new tool reads clean tables.
3. Map data security rules to the new tenant model. Translate each rule to a token claim, row-level policy, or workspace, and test with real tenant accounts.
4. Replace embed authentication. Swap Sisense JWT SSO or Web Access Tokens for the new vendor’s signed tokens on your backend.
5. Run in parallel and time the contract. Keep Sisense live for a reporting cycle, compare numbers, and cut over before renewal.

Frequently asked questions

What are the best Sisense alternatives for embedded analytics?

For SaaS teams, the most common replacements are Luzmo, Databrain, Embeddable, and GoodData, which are built mainly for customer-facing analytics. Metabase is the low-cost and self-hosted option. ThoughtSpot Embedded and Sigma fit enterprises that want AI search or live warehouse queries. Basedash fits teams that want customers to chat with their data. Choose by how you isolate tenants, whether you need a React SDK, and whether you want published pricing.

Which Sisense alternatives have a React SDK for embedding charts?

As of October 2026, Luzmo (@luzmo/react-embed), GoodData (React SDK), Metabase (Modular embedding SDK on Pro), ThoughtSpot (Visual Embed SDK with React components), Sigma (Embed SDK for React), and Basedash (@basedash/embed) all ship React packages. Embeddable embeds as a web component that works in React, and lets engineers write their own React chart components. Sisense’s Compose SDK also supports React, so a React requirement alone is rarely a reason to switch.

Which embedded analytics tools let customers use an AI chat inside my product?

Luzmo IQ provides embeddable chat and answer components, with 500 AI conversations included in the license. ThoughtSpot lets you embed Spotter with or without its own interface. Sigma embeds an agent in a chat element, billed in consumption credits. Embeddable includes AI chat. Basedash embeds its AI chat through the @basedash/embed React SDK, scoped to each customer’s organization. Metabase Pro lets embedded users ask questions with Metabot.

How does Databrain compare to Sisense?

Databrain publishes its prices and Sisense does not. As of October 2026, Databrain Growth costs $999 per month with unlimited seats and embeds, and Pro costs $1,995 per month with SSO and unlimited data sources. Sisense offers Self-Serve and Enterprise plans on quote. Sisense has more deployment options and a longer enterprise track record, including on-premises installs and a 99.99% SLA on Enterprise. Databrain markets its Enterprise plan as a Sisense replacement and includes self-hosting there.

Which embedded analytics providers work on Postgres with SDKs, theming, and SOC 2 for a fintech app?

Luzmo, Embeddable, Databrain, GoodData, Metabase, and Basedash all connect to PostgreSQL, support theming, and state SOC 2 compliance on their official sites as of October 2026. Luzmo, Embeddable, and Metabase cite SOC 2 Type II or Type 2 reports. Basedash is SOC 2 Type II and can enforce row-level security with native PostgreSQL policies. For a regulated fintech, also ask each vendor about data residency, audit logs, and whether self-hosting is available.

Which embedded analytics tools use flat or usage-based pricing instead of per-user pricing?

Embeddable charges a flat monthly fee with unlimited usage. Databrain charges a flat monthly price with unlimited seats and embeds. Luzmo combines a platform fee with metered AI conversations and data volume, or monthly active users on some contracts. GoodData charges per workspace with unlimited users. Metabase counts every signed-in embedded user as a billable user on Starter and Pro. ThoughtSpot and Sigma price embedded deals on quote.

Does Sisense require ElastiCubes, or can it query data live?

Sisense supports both. ElastiCubes are its in-memory analytics database, built on a schedule, and Live models send queries directly to sources such as PostgreSQL, Snowflake, BigQuery, and Redshift, with dashboards able to refresh every few seconds. Many Sisense estates use ElastiCubes for speed on large datasets, which is why migrations usually involve moving ElastiCube transformations into the warehouse or dbt first.