7 Best Embeddable Alternatives for Embedded Analytics in 2026

Embeddable is a new player in the embedded BI niche, aiming at one specific target audience: developers. With features like no-iframe embedding, an SDK to help developers customize dashboards, and a full white-label experience, it makes for a very attractive offer.

However, Embeddable is very new, and while it does some things well, there are certain categories where it falls behind the more established market players.

Today, we take a look at Embeddable for SaaS products: why it may not be the best option and what you can try instead.

For most SaaS teams, Luzmo is the strongest Embeddable alternative because it pairs a code-first SDK with a no-code builder and publishes its pricing, so non-developers aren't blocked and finance can model the cost. GoodData fits regulated enterprises that need self-hosting, and DataBrain fits teams that want published flat pricing.

Embeddable alternatives at a glance

These are the seven purpose-built embedded analytics platforms. Enterprise BI tools that also offer embedding are covered separately further down, because they're a different category and comparing them side by side is misleading.

Tool	Best for	Embedding method	No-code builder?	Public pricing?
Luzmo	SaaS teams needing speed plus developer control	Studio embed plus Flex SDK, React, Angular, Vue	Yes	Yes, published plans
GoodData	Regulated enterprises needing self-hosting	Iframe, Web Components, React SDK	Yes	No, platform fee plus per-workspace quote
Sisense	Developer teams wanting component control	Iframe, Sisense.js, Compose SDK	Yes	No, enterprise pricing is quote-based
DataBrain	Fast embedded rollout with published pricing	Web Components, React, Angular, Vue, iframe, REST	Yes	Yes, Growth and Pro listed
Omni	Governed semantic modeling plus embedding	Iframes, KPI tiles, extensible components	Yes, analyst-oriented	No, sales-led
Qrvey	Embedded analytics inside your own cloud	SDK and APIs	Yes	No, quote-based
Toucan	Guided, storytelling dashboards for end users	Iframe or web component	Yes, template-driven	No, starts from a listed entry point

How much does Embeddable cost?

Embeddable positions its pricing as a flat monthly custom quote with unlimited usage and features, rather than a primarily per-viewer or query-based model. That's genuinely useful if your end-user count is large or unpredictable, because the bill doesn't move every time your customers log in more often.

The catch is that it's still a quote. There's no public rate you can drop into a spreadsheet, so you're comparing a negotiated platform fee against competitors who publish numbers. We're not printing a figure here, because any number circulating on review sites is somebody's individual deal rather than a list price. Our Embeddable pricing breakdown covers what to ask for, and Embeddable reviews collects what teams say after implementing it.

One clarification that matters for procurement: Embeddable offers an open-source component library, and that is not the same thing as the full commercial platform being open source. If open source is a hard requirement rather than a preference, check that distinction carefully before you get far into an evaluation.

How we evaluated the tools

We compared these platforms on the criteria that actually decide an embedded analytics purchase, not on feature-count totals:

• Embedding method. Native Web Components, an SDK or an iframe. This decides how much control you keep over your own frontend, and it's the hardest thing to change later.
• Frontend ownership. How much of the final interface you build versus configure. More control means more engineering time, always.
• Who can build a dashboard. Whether a product manager can ship something without a developer, or whether every change is a ticket.
• Semantic governance. Whether metrics are defined once and reused, or redefined per dashboard.
• Multi-tenancy and security. Tenant isolation, row-level security and SSO, and whether they're structural or configured.
• Pricing model. Flat fee, per-viewer, per-query or per-MAU, and how each behaves as your customer base grows.

Research date. Product, embedding and pricing facts were checked against current vendor documentation on August 5, 2026. Pricing in this category changes often, so treat specifics as a starting point for your own quote.

Our bias, stated plainly. Luzmo builds embedded analytics and competes directly with Embeddable, so we're not a neutral referee here. What we've tried to do is keep the claim narrow and checkable: Luzmo is the better fit when you want customer-facing analytics shipped fast and a path to deep customization later. Where Embeddable genuinely wins, like maximum frontend control through native components, we say so below. And where GoodData, Sisense, DataBrain or Toucan is the better answer, that's in the table above.

Code-first versus no-code embedded analytics

This is the fork that matters most, and it's worth being honest that it's a genuine trade-off rather than a case of one approach being better.

Code-first platforms like Embeddable hand you components and expect your engineers to assemble the experience. You get precise control over layout, interaction and styling, and analytics that looks indistinguishable from the rest of your product. The costs are real: every dashboard change is an engineering task, your analytics roadmap competes with your product roadmap for the same developers, and onboarding a new engineer means teaching them your analytics layer too.

No-code-first platforms give non-technical people a builder. Product managers and customer success teams can ship dashboards without a ticket, which usually means analytics actually evolves instead of stalling after launch. The historical criticism was a ceiling on customization, which is why the interesting question in 2026 isn't code versus no-code, it's whether a platform offers both.

That's the practical test we'd apply to any tool on this list: can a non-developer build something useful today, and can an engineer override it precisely tomorrow? Platforms that only answer one half of that question will eventually frustrate somebody on your team.

Why look for Embeddable alternatives in the first place?

If you need a tool for dashboard creation and sharing within a SaaS product, Embeddable can do it, but it's not ideal. It does give your developers complete control over the code and the final user experience, but it comes with a few downsides.

Notably, the pricing is quote-based. Embeddable positions its offer as a flat monthly custom quote with unlimited usage and features rather than a per-viewer or query-based model, so you'll need a sales call before you can price a customer-facing deployment. The flat structure suits teams with large or unpredictable end-user counts, but it does mean you can't compare it against a published number without talking to someone first.

The second problem is the steep learning curve. While developers will find their way around Embeddable, everyone else will struggle. Embeddable's competitive advantage is how customizable everything is, but that's only an advantage if you have a team of excellent devs.

Then there is the self-service or customer-facing analytics. Embeddable offers governed self-serve through its Custom Canvas, though some teams may still find it less turnkey than more established, builder-first players in the market.

Lastly, there's artificial intelligence. Embeddable has since added AI capabilities — conversational insights, AI-assisted dashboard development and AI querying over its governed semantic layer — so the question is less "does it have AI" and more how its code-first approach fits your team.

The best Embeddable alternatives for embedded analytics in 2026

If you’re considering Embeddable for your SaaS product, there are two ways you can go: business intelligence tools that offer embedding as an option or standalone embedded analytics tools. Both categories have something to offer that Embeddable doesn’t.

Purpose-built embedded analytics platforms

These seven are designed for customer-facing analytics from the ground up, which is the same category Embeddable competes in.

Luzmo

Who it’s for: SaaS product teams that need to add customer-facing analytics quickly. Luzmo is ideal if you want an easy start with the ability to scale up customization as needed.

Luzmo is an embedded analytics platform built specifically for SaaS businesses to integrate dashboards in days, not months.

We offer a friendly no-code dashboard editor for non-technical users and a full-fledged SDK for developers, giving you the best of both worlds. This means you can empower product managers to create visualizations with drag-and-drop or let your engineers fine-tune everything via code.

Top features:

• Fast embedding: Copy-paste embed codes or use libraries for React, Angular, and Vue to drop interactive dashboards into your app instantly.
• Customization options: With Luzmo Studio, anyone can build dashboards with an intuitive editor. For advanced needs, Luzmo Flex SDK allows full control over layout, styling, and data interactions via code. You can even mix in your own charts or UI components.
• Data integration: Connect to a large number of data sources (cloud warehouses, databases, even live JSON feeds) effortlessly. Luzmo’s API-first design ensures it fits into any modern tech stack without locking you in.
• AI-powered insights: The Luzmo IQ feature brings conversational analytics to your app. End-users can ask questions in plain English and get answers as charts or summaries – no SQL or technical know-how required.
• White-label & multi-tenant: Luzmo was made for multi-client SaaS. You can fully white-label the dashboards to match your product’s look, set up row-level security and tenant isolation out of the box, and even host on a custom domain. It’s enterprise-ready from a security and scalability standpoint.

Luzmo is the top alternative to Embeddable because it provides a more complete, out-of-the-box solution.

Like Embeddable, Luzmo offers a developer-friendly approach (with a robust SDK and API). Beyond that, it pairs the code-first path with capabilities Embeddable’s toolkit approach leaves to you to assemble:

• a built-in no-code dashboard builder for non-technical users
• conversational AI analytics built in
• near real-time data updates without complex setup

Our pricing is straightforward (billed on monthly active users, not per-seat), starting at €995/month for Starter and €2,495/month for Premium, and it’s fully cloud-based and maintained for you. This way, your team skips the heavy lifting and focuses on building your product. If you want an embedded analytics platform that’s faster to implement and richer in features than Embeddable, Luzmo is the go-to choice.

Book a free demo to learn more.

GoodData

Who it’s for: SaaS companies and enterprises that need to deliver analytics to many external customers with strict governance and customization. GoodData is ideal if multi-tenancy, security, and an API-first approach are top priorities.

GoodData has been in the embedded analytics space for a long time. It brands itself as an “AI-native analytics platform” that enables organizations to distribute insights at scale. GoodData is known for its strong backend as it provides a headless BI platform (GoodData.CN for cloud-native) and a robust semantic layer.

Top features:

• Multi-tenant architecture: GoodData was built with multi-tenancy in mind. You can isolate data by client organization effortlessly – each tenant can have their own workspace with users, dashboards, and data permissions.
• Open APIs and SDKs: Almost every functionality of GoodData is accessible via REST API or via their SDKs (they have a popular JavaScript/React SDK for building custom UI components). caching, etc.).
• Semantic layer & metrics consistency: GoodData allows you to define metrics and dimensions in a semantic layer (sometimes called a Logical Data Model in GoodData). This means all users and all embedded reports and dashboards rely on the same definitions.
• AI and next-gen analytics: As noted in its positioning, GoodData has incorporated AI capabilities (like AI assistants or anomaly detection) into the platform.
• Hybrid deployment (cloud or on-prem): GoodData offers flexibility in where it’s deployed. You can use GoodData’s SaaS, or deploy GoodData on your own AWS/Azure/GCP (GoodData.CloudNative), or even on-premises.

GoodData is an established player with a track record in embedded analytics and that alone instills confidence. It's a great alternative for scenarios where Embeddable's toolkit approach might fall short on enterprise requirements, particularly the self-hosted deployment option, which very few platforms in this category offer at all.

On cost, note that the public pricing page describes Professional as a platform fee plus per-workspace pricing with unlimited users and data, and the exact figure is quote-based. For a multi-tenant product that distinction matters: "unlimited users" doesn't mean unlimited workspaces or a flat total, so map how your tenants translate into workspaces before comparing it with Embeddable's flat quote. If composable architecture is the deciding factor, our roundup of GoodData alternatives for composable analytics compares that field directly.

Sisense

Who it’s for: Enterprises and software teams that want full control over their embedded analytics and don’t mind investing developer resources to get it.

Sisense markets itself as a flexible analytics platform built for embedding. It’s known for its Elasticube technology and solid APIs. Sisense emphasizes scalability (handling large data volumes) and the ability to infuse analytics anywhere, from customer apps to internal portals.

Top features:

• API-First and Developer Friendly: Sisense offers a comprehensive set of REST APIs and front-end SDKs. Recently, they introduced tools like the Sisense Compose SDK to let developers create and arrange analytic components via code.
• Custom UI/UX capabilities: Unlike some BI tools that limit your embedded content to their look and feel, Sisense allows deep customization. You can fully white-label the analytics, use custom CSS to match your design, and even build new widget types if needed.
• Hybrid data handling: Sisense can mash up data from multiple sources, whether on-prem databases, cloud services, or big data stores. Its Elasticubes (in-chip memory acceleration) allow you to pre-aggregate and optimize data for fast retrieval.
• Scalability & security: Sisense is built with enterprise in mind, as it can scale to thousands of users. It supports multi-tenant deployment flexibility, role-based access control, and has features for DevOps (like Docker containerization of Sisense for easier scaling).
• Embedded everywhere: With Sisense, you’re not limited to web apps. It provides options to embed analytics into mobile apps, SaaS products, or even as chatbots and voice assistants (through their APIs).

If you liked Embeddable's promise of being a developer's toolkit, Sisense offers a similar appeal backed by an established platform. Compose SDK supports component-based embedding for React, Angular and Vue with TypeScript, so it isn't React-only, and deployment covers cloud, dedicated and on-premises with white-labeling, SSO, multitenancy and row-level controls. It's a strong alternative because it was designed with embedding in mind, and you won't hit a wall where something can't be modified.

The friction is implementation weight and pricing opacity: it offers self-service and enterprise plans, with enterprise pricing supplied through sales rather than a public grid. For a closer look at that field, see the Sisense competitors for embedded analytics.

DataBrain

Who it's for: SaaS teams that want embedded analytics live quickly, with published pricing they can budget against rather than a quote.

DataBrain is one of the few platforms in this category that puts real numbers on its pricing page, which makes it an unusually easy comparison against Embeddable's custom quote.

Top features:

• Published pricing: Growth is listed at $999 per month and includes unlimited seats and embeds with one data source. Pro is listed at $1,995 per month and adds unlimited data sources, SSO, roles and permissions. Enterprise is custom priced and adds self-hosted or multiregion deployment.
• Component and framework support: Web Components plus integrations for React, Angular and Vue, alongside iframe and REST API routes. So you can go component-level like Embeddable, or take the fast iframe path when it doesn't matter.
• Tenant security: tenant isolation and row-level security are part of its embedded positioning rather than add-ons.
• Fast setup: the pitch is time-to-first-dashboard rather than maximum flexibility, which is the opposite trade to Embeddable's.

Read the plan gates carefully though. Growth's "unlimited" applies to seats and embeds, not data sources, where it includes exactly one. If your product blends several sources you're on Pro. And self-hosting isn't available on Growth or Pro at all, only Enterprise. Our roundup of DataBrain alternatives for faster embedded delivery compares it against the rest of the embedded-first field.

Omni

Who it's for: teams that want a governed semantic model for internal analysts first, with embedded delivery as a second channel.

Omni was founded by former Looker leaders and combines a governed semantic model with SQL-first ad hoc exploration. It moved seriously into embedding after acquiring Explo in October 2025, and raised a $120 million Series C in April 2026 at a $1.5 billion valuation, so it's well funded.

Top features:

• Governed semantic model: metrics are defined once and reused, which is the thing code-first toolkits leave you to solve yourself.
• Embedded components: iframes, KPI tiles and other extensible components.
• Warehouse-native querying: it queries your warehouse rather than requiring you to move data into it.
• Analyst workflow: genuinely good ad hoc exploration for internal users, which Embeddable doesn't attempt.

The honest trade-off versus Embeddable is architectural sequencing. Omni's exploration and governance were designed for internal analysts and embedding came afterward, so if your customers are the primary audience you're working slightly against the grain. Pricing is sales-led with no stable public grid, so it isn't more transparent than Embeddable on that front. For the wider picture, see the Omni alternatives for warehouse-native embedding.

Qrvey

Who it's for: SaaS companies with data-residency obligations that want embedded analytics running inside their own cloud account rather than a vendor's.

Qrvey's distinguishing move is deployment model. Instead of a managed multi-tenant service, the platform is deployed into your own cloud infrastructure, so customer data never leaves your account. For teams with compliance commitments that make a vendor-hosted option a non-starter, that's a structural advantage no amount of frontend flexibility replaces.

Top features:

• Runs in your cloud: you own the infrastructure and the data boundary.
• Built for SaaS embedding: multi-tenancy and white-labeling are assumed rather than configured.
• Full analytics stack: data pipeline, storage and visualization rather than a UI layer alone.

The trade-off is weight. This is a heavier commitment than dropping in a component library, both to stand up and to operate, and pricing is quote-based. It's the right call when data residency drives the decision and the wrong one if you wanted something running by Friday.

Toucan

Who it’s for: Product teams who want to offer analytics to end-users but without the complexity – think startups or companies who have a lean team and need quick, easy embedding.

Toucan labels itself as a “storytelling” analytics platform. Instead of generic BI, it emphasizes narrative-driven dashboards: the idea is to guide the user through insights as you would in a story.

Top features:

• Storytelling dashboards: Toucan’s approach is to present dashboards as a series of “datastories.” Each screen or slide in the app focuses on a particular insight with context. This hand-holding is great for users who might otherwise be overwhelmed by data.
• No-code, rapid development: Building a Toucan dashboard is designed to be fast and code-free. There are many pre-built templates for common metrics and layouts (sales KPIs, marketing funnel, etc.).
• Ease of integration: Toucan is offered as a cloud service that you can embed via iframe or a web component. It handles all the heavy backend, so integration is often as easy as dropping in a link and using their JS snippet for single sign-on.
• Guided insights and tips: Toucan dashboards often come with little textual explanations or tooltips that help end-users interpret the charts. This “guided insight” approach increases adoption because users not only see a number but also get a hint of what to do with it.
• Lightweight & fast: Because it’s cloud-hosted and focused, Toucan’s embed loads quickly and doesn’t require a lot of client-side code. It’s optimized to be an add-on that won’t strain your application.

Toucan is almost the polar opposite of Embeddable in philosophy, which is why it's such an interesting alternative. Where Embeddable is a developer's DIY kit, Toucan is a plug-and-play analytics module with a strong focus on user experience.

That storytelling emphasis is a genuine differentiator rather than marketing gloss, and it's the right instinct if your end users are non-technical and would otherwise abandon a dense dashboard. The trade-off is the mirror image of Embeddable's: less frontend control, faster time to something your customers will actually use. If guided, narrative-led analytics is what you're after, the Toucan Toco alternatives for customer-facing dashboards cover that specific niche.

Enterprise BI platforms that also embed

These are capable products, but embedding is a delivery mode bolted onto an internal BI core rather than the reason the platform exists. They're worth considering if you also need heavy internal reporting, and worth skipping if your only requirement is analytics inside your product. Pricing and licensing in this group is generally built around internal seats, which is where costs escalate at product scale.

Power BI

Who it’s for: Organizations already in the Microsoft ecosystem or those that need enterprise BI capabilities embedded into their software. If you use Azure or other Microsoft services and want tight integration, Power BI is the natural choice.

Microsoft Power BI is a veteran BI platform known for its powerful data visualization and reporting. With Power BI Embedded, Microsoft enables developers to insert Power BI reports and dashboards into web apps or portals using Azure services.

Top features:

• Rich visualizations: Power BI offers an extensive library of visuals and a marketplace of custom charts. Complex charts, maps, and even AI visuals (like key influencers) are available out of the box.
• Data connectivity: As part of the MS stack, Power BI connects seamlessly to SQL Server, Azure data services, Excel, SharePoint, and hundreds of other sources. This makes it easy to pull data and analytics content from wherever it lives.
• Security & control: Power BI Embedded integrates with Azure Active Directory for authentication and offers granular control of data access.
• Developer tools: Microsoft provides a robust JavaScript SDK for embedding. You can programmatically control reports (filter, update, refresh data) in your application.
• Scalability: With Azure capacity under the hood, Power BI Embedded can scale to thousands of concurrent users if configured correctly.

If you need a proven, enterprise-grade analytics platform embedded in your app, Power BI is a strong alternative. It brings years of Microsoft’s BI expertise: things like reliable performance on large data, a huge community, and continuous feature updates.

Compared to Embeddable, Power BI offers far more out-of-the-box visuals and advanced analytics functions (like forecasting, AI insights) without extra development.

Tableau Embedded

Who it’s for: Teams that prioritize data visualization quality and depth of analysis for their end-users. If you need gorgeous, interactive dashboards embedded in your app and are willing to leverage Tableau’s platform to get them, this is for you.

Tableau (now part of Salesforce) is renowned for enabling people to turn data into insightful charts and dashboards easily. Its embedded analytics offering lets you integrate those same Tableau visuals into your own software.

Key features:

• Drag-and-drop dashboarding: Tableau’s signature is a user-friendly interface where creating charts is as simple as dragging fields.
• Stunning visualization library: From heat maps to tree maps, distributions, and geospatial maps – Tableau offers one of the most comprehensive sets of chart types.
• Robust data connectivity: Tableau connects to dozens of data sources: SQL databases, cloud warehouses (Snowflake, Redshift), spreadsheets, REST APIs, and more.
• Scalability & performance: Tableau is built to handle enterprise-scale data volumes and user traffic. Its architecture (with Tableau Server/Online) can be scaled out to support many concurrent users viewing embedded dashboards.
• Embedding options: You can embed via a simple or use Tableau’s JavaScript API for more control (like integrating with your app’s filters or passing user authentication through Single Sign-On). There’s also an Embedding API v3 that improves responsiveness and offers more integration points.

Tableau brings something to the table that a developer-centric toolkit like Embeddable does not: instant, world-class visual analytics. It’s a fantastic alternative if your priority is giving end-users beautiful, feature-rich dashboards with minimal development effort.

With Tableau, much of the heavy lifting (UI, charting engine, optimization) is done for you – whereas with Embeddable, you’d be constructing more of that yourself.

Looker Embedded

Who it’s for: Data-driven teams and software companies that need a developer-friendly, model-based BI tool embedded in their app.

Looker (part of Google Cloud) is an advanced business intelligence platform known for its unique approach to data modeling (using LookML). It’s a solution for companies that want to centralize their business logic and metrics and offer interactive analytics to everyone.

For embedding, Looker provides secure, interactive dashboards and explorations that you can drop into any web page or app. It’s often touted for its real-time analytics and strong governance.

Key features:

• LookML data modeling: Looker’s standout feature is LookML – a language to define your data relationships and business metrics in a single layer.
• Developer-friendly & API-first: Looker assumes its users are comfortable with code or SQL. You can get very granular in customizing queries and data experiences. It has a robust API, so you can fetch data or manage Looker resources programmatically.
• Real-time and big data ready: Looker directly queries your databases/warehouses on demand, rather than relying on extracts (in many cases).
• Secure, multi-tenant support: Embedding with Looker can be done with per-user filtering (using OAuth or embed tokens) so everyone can see only their data.
• Ad hoc exploration for power users: A key benefit is that if some of your customers are data savvy, Looker’s Explorers allow them to pivot, filter, and create new views on the data (if you permit it).

Looker is a strong alternative to Embeddable for companies that need precision and scalability in their embedded analytics. Where Embeddable is a toolkit for building custom UI, Looker provides a whole governed data model and a ready-made UI that is highly customizable, with advanced features for large datasets and enterprise environments.

Qlik Sense

Who it’s for: Companies dealing with large, complex datasets who want to give end-users a highly interactive analytics experience embedded in their product.

Qlik Sense is a modern BI platform from Qlik, known for its associative data engine that lets users explore data in any direction without losing context. In an embedded scenario, Qlik aims to deliver that same ad-hoc exploration capability inside your application.

Top features:

• Associative Engine for Data Discovery: Qlik’s secret sauce is that it indexes your data in memory, allowing users to click on any value and instantly filter across the entire dataset.
• Hybrid No-Code/Pro-Code Approach: Qlik provides embedded templates and a mashup editor for simpler use cases, plus extensive APIs for developers. For example, you can use Qlik’s Capability APIs to embed individual charts or create custom mashup apps.
• AI and Augmented Analytics: Qlik Sense has built-in AI assistants (like Insight Advisor) that suggest charts or insights to users. When embedded, this can help end-users who might not know where to start, since they can ask questions in natural language or get automated insights.
• Extensive Data Connectivity: Qlik boasts connectors to 100+ data sources, from SQL databases to big data and web services. It also allows both live connections and in-memory data storage.
• Enterprise Features: With Qlik, you get enterprise-level security, governance, and scalability. It supports multi-tenancy (via its token licensing and security rules) and you can manage deployments on Windows, cloud, or Qlik’s SaaS.

Qlik Sense stands out as an Embeddable alternative by offering powerful data discovery capabilities out of the box that would be hard to build from scratch. Embeddable’s toolkit approach might require you to manually implement things like complex filtering or AI suggestions, while Qlik provides these features out of the box.

Domo

Who it’s for: Companies looking for a full-stack BI platform that covers everything from data integration to analytics, and who want to embed that full power into their own product.

Domo is a cloud-native BI platform known for its end-to-end capabilities. It can connect to data sources, transform data, and create dashboards all in one place. It brands itself as a “business cloud” and emphasizes real-time data and ease of use.

For embedding, Domo offers Domo Everywhere, which allows you to share Domo dashboards outside the Domo platform securely (either embedded in an application or as a standalone client portal).

Top features:

• 1,000+ data connectors: One of Domo’s biggest strengths is its vast array of pre-built connectors. Whether it’s databases, SaaS tools (Salesforce, Google Analytics, HubSpot, etc.), or even Excel files, chances are Domo can pull it in with minimal hassle.
• Real-time and alerting: Domo is designed for real-time monitoring. Data can be updated frequently (even multiple times per day or as streaming data). It also offers alerts and notifications.
• ETL and data prep built-in: With Domo’s Magic ETL and data flow tools, you can do transformations without separate ETL software.
• Slick visuals and interactive dashboards: Domo’s dashboard interface is modern and clean. Users can drill down into cards (charts), apply filters, and even create ad-hoc queries through a feature called Domo Analyzer.
• Mobile-first experience: Domo places a strong emphasis on mobile (their native mobile app is quite robust). The dashboards are responsive, and many executives use Domo via phone.

Domo can be a turnkey solution compared to Embeddable. If Embeddable is like getting a kit to build a car, Domo is like getting a fully built car that you just customize the paint job on. For an alternative, that means far less development effort on your side. Domo handles the back-end scaling, the data processing, and the front-end visuals, and you simply bring it into your app.

ThoughtSpot

Who it’s for: Teams that want to offer a cutting-edge analytics experience – specifically, letting end-users search their data and use AI to get insights, rather than just clicking filters. ThoughtSpot is ideal for applications where non-technical users have lots of ad-hoc questions.

ThoughtSpot is known as the pioneer of search-based analytics and now markets an agentic analytics platform (its Spotter agents handle natural-language questions, forecasting and code, and it offers an MCP server for connecting to external AI tools). In embedding, ThoughtSpot Embedded allows you to embed charts, dashboards, or the full search bar experience into your product.

Top features:

• Search-driven analytics: This is ThoughtSpot’s hallmark. Users can simply type a question in plain English, and ThoughtSpot will generate a relevant visualization or answer on the fly. For example, type “total expenses by category last year” and it might produce a bar chart with the answer.
• AI and NLQ (Natural Language Query): Beyond basic keyword search, ThoughtSpot incorporates AI to interpret questions and even to proactively find insights (like anomalies or trends).
• Auto charts and suggestions: As users interact, ThoughtSpot suggests the best visualization for the question and data (pie vs. line vs. table, etc.). It also allows drilling down as every chart is interactive, and you can click on any data point to refine the query or explore deeper.
• Enterprise scale and performance: Under the hood, ThoughtSpot uses a high-performance in-memory calculation engine. It’s designed to churn through large amounts of data and still return answers in seconds without performance issues.
• Embedded flexibility: ThoughtSpot Embedded, renamed from "ThoughtSpot Everywhere" in April 2024, provides a flexible JavaScript SDK. You can embed full ThoughtSpot apps or individual visualizations, and customize the look to match your product's branding. Packaging runs Essentials from $25 per user per month, Pro from $50 per user per month or $0.10 per credit, and Enterprise through sales.

If your goal is to offer next-level, self-service analytics that feels modern and intelligent, ThoughtSpot is a decent alternative. Embeddable (and most others) focus on dashboards, static or parameterized views of data.

Embeddable is not a poor choice, but you can do better

If you want to introduce embedded analytics capabilities in your SaaS product, Embeddable is an okay choice with a few issues. The learning curve can be very steep for non-technical users. Building fully customizable dashboards is a neat option, but if you just want to get up and running, it's not ideal. Then there is the elephant in the room: the pricing.

All things said and done, Embeddable is a capable, code-first toolkit, but several alternatives offer more out of the box for less engineering effort. If you'd rather get robust data modeling, fully customizable dashboards and transparent, published pricing without building everything yourself, it's worth comparing the options above.

Book a demo with us today to see how Luzmo can improve your SaaS product with embedded analytics.