Sisense
PaidInfuse actionable intelligence into any app.
An AI-powered analytics platform purpose-built for embedding business intelligence into applications, with an in-memory engine, natural language querying, and extensive developer APIs.
What is it
Sisense is an enterprise-grade analytics platform designed specifically for embedded analytics. It combines an in-memory ElastiCube engine for high-performance querying, a drag-and-drop dashboard builder, and a comprehensive suite of APIs and SDKs that let software companies integrate data experiences directly into their own products.
What it can do
Connect to 100+ data sources, model complex datasets through visual or SQL-based pipelines, build interactive dashboards with AI-generated narratives, embed analytics via Compose SDK or iframe, query data in natural language through an AI assistant, and apply row-level security and SSO for multi-tenant deployments. The 2026 release adds an MCP server for AI agent integration.
Who is it for
SaaS product teams, software developers, data engineers, and enterprises that want to offer analytics-as-a-feature to their customers or build governed internal BI environments. It is not suited for teams without engineering resources or those needing native unstructured data support.
Key Features
Compose SDK and Embedded Analytics – In-App Integration
Embed fully interactive dashboards and widgets directly into web applications using the Compose SDK for React, Angular, and VueJS. iframe embedding is also available for simpler integrations. White-labeling and SSO ensure the analytics feel native to your product.
AI Assistant and Natural Language Query – Conversational Analytics
Ask questions about data in plain English and receive instant visualizations with narrated explanations. The assistant respects dashboard filter context and generates quantitative answers with built-in insights, reducing the barrier for non-technical users.
ElastiCube In-Memory Engine – High-Performance Queries
Process and query large structured datasets at speed using the columnar, in-memory ElastiCube engine. Supports both pre-aggregated models and live connections, with hybrid dashboards combining both approaches for flexibility.
Visual Dashboard Builder – Drag-and-Drop Design
Create interactive dashboards with a web-based designer supporting custom widgets, filters, drill-downs, and real-time collaboration. Calculated dimensions and binning can now be created directly in widgets without backend rebuilds.
Use Cases
SaaS product embedded analytics
Software companies integrate Sisense dashboards directly into their applications so customers can explore usage, billing, and performance data without leaving the product. White-labeling and SSO ensure a seamless, branded experience.
Enterprise BI dashboard deployment
Large organizations build centralized analytics hubs with governed data models. Row-level security ensures each department sees only relevant metrics, while the visual builder empowers analysts to create reports without engineering support.
Customer-facing data products
Product teams create analytics-as-a-feature offerings, monetizing data insights by embedding interactive visualizations into their platforms. The multi-tenant architecture isolates client data while sharing infrastructure.
Multi-tenant analytics platforms
ISVs and platform companies serve analytics to multiple clients from a single deployment. Sisense handles tenant isolation, user management, and per-customer branding at scale.
Pricing plans
Frequently Asked Questions
Discussion
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