Embeddable

Embeddable is a toolkit for product and engineering teams building analytics into their own applications. It suits teams that want customer-facing dashboards and self-serve exploration governed alongside application data. Its code-and-builder workflow and deployment flexibility are strong, but custom pricing and project scoping make it a poor fit for buyers seeking a quick, fixed-price reporting tool.

Overview

Embeddable brings interactive dashboards, self-serve analytics, and AI-powered insights into an application on a shared governed foundation. Dashboards use an HTML web component and a server-side token rather than an iframe, giving teams a native embedding approach for customer-facing experiences.

Teams can build in a no-code interface or define components, data models, themes, and dashboards in code. Those assets can live in a version-controlled repository and be pushed with the SDK. That workflow gives engineering teams a way to manage analytics changes alongside application work, while making Embeddable less suitable for organizations without development resources.

Key features

Governed exploration and AI chat

Users can ask questions in plain language and get text or live-chart answers grounded in the semantic layer, with row-level security applied. This connects conversational exploration to governed data access, rather than treating chat as a separate, unrestricted reporting surface.

Database access and deployment

Embeddable queries the customer's database directly and says it does not keep a copy. It supports databases supported by Cube, so teams should check that their data source fits before committing. Customers can use managed Cube hosting, run Cube Core themselves, or connect to Cube Cloud; managed hosting is offered in EU and US options. The choice suits teams with different hosting preferences, but self-running Cube adds operational responsibility.

Security and onboarding

The company states that it is SOC 2 Type II certified and GDPR compliant, and that database connections use read-only transactions and SSL/TLS. SSH or database credentials are secured with AES-128 encryption. These measures may suit teams with defined security requirements, though buyers should assess them against their own policies. During proof of concept, supported onboarding includes an account manager and frontend and data engineering resources.

Pricing

Embeddable is paid, with a project-scoped subscription billed as a flat monthly subscription and custom pricing after a scoping conversation. The subscription includes unlimited usage and every feature; larger or more complex deployments may be scoped separately. This structure avoids usage caps and feature tiers in the stated plan, but buyers need a project discussion to establish cost, so it is difficult to compare budgets upfront.

Platforms

Embeddable is available for web and API use, with self-hosted and hybrid deployment options. Its embedding mode is native, and it supports white-label analytics, row-level security, and SSO. That combination is relevant to teams integrating branded analytics into an application and managing access, rather than to people looking for a standalone desktop reporting client.

Who it's for

Embeddable is aimed at product and engineering teams adding analytics to their applications. It is a stronger match for teams that want version-controlled assets, a choice of Cube hosting models, and governed self-service for their customers. Buyers without engineering capacity, or those seeking public, fixed pricing, should consider alternatives.

Pros and cons

• Native embedding: HTML web components and server-side tokens avoid an iframe-based approach.
• Flexible authoring: A no-code builder and code workflow let teams choose how they create dashboards and supporting assets.
• Deployment choice: Managed Cube hosting, self-run Cube Core, and Cube Cloud connections accommodate different infrastructure preferences.
• Custom pricing: A scoping conversation is required to learn the subscription cost, complicating early budget comparisons.
• Cube-supported data sources: Compatibility depends on databases supported by Cube, which may rule out teams with other sources.

Alternatives

Embedded Analytics Software is a category list for comparing other products in this space.

• Sisense may suit buyers who want built-in natural-language queries, auto-narratives, and an assistant, with a free trial.
• ClicData is worth considering for buyers who want a freemium option and support across a broad range of platforms.
• Bold BI may fit teams choosing between managed cloud hosting and a self-hosted edition, with no per-user or per-viewer fee on its cloud edition.
• Logi Composer is another paid option for teams looking for API, desktop, web, or self-hosted platform support.
• Logi Symphony may suit buyers seeking a paid analytics option across API, web, Linux, Windows, or self-hosted environments.
• Jaspersoft is an option for buyers who want a free community edition with reporting and data visualizations, alongside a commercial edition.
• InfuseBI offers a paid web-based alternative with custom pricing.
• Toucan may suit teams seeking a freemium product with published monthly plans, including unlimited users on its Start and Grow tiers.

Verdict

Choose Embeddable if your product or engineering team wants to build branded, governed analytics directly into an application and values control over authoring and Cube deployment. Its central advantage is a native, repository-friendly path to customer-facing analytics; its main drawback is project-scoped custom pricing, compounded by the need to confirm Cube data-source compatibility. Look elsewhere if you need a fixed price or a reporting product that does not depend on an engineering workflow.