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Brief
Sisense

Sisense

Business Intelligence & Embedded Analyticssisense.com

Sisense enables organizations to embed powerful, AI-driven analytics directly into their products and workflows, turning complex data into actionable insights without requiring deep technical expertise.

Last updated Jun 23, 2026 by ATDb automated enrichment

Founded
2004
HQ
New York, New York, United States
Connections
24

At a glance

Employees
501-1000
Funding
$100M+
Revenue
$100M-$200M
Stock
NASDAQ:SSNS
10integrations9competitors2corporate family1acquisitions

About

A leading embedded analytics and BI platform competing with Tableau, Looker, and Power BI, with a strong focus on developer-friendly embedded analytics for SaaS products

Sisense is a business intelligence and analytics company founded in 2004, known for its ability to handle large, complex datasets and deliver embedded analytics at scale. The platform allows both technical and non-technical users to prepare, analyze, and visualize data through an intuitive interface, while also enabling developers to embed analytics directly into third-party applications and products via APIs and SDKs. Sisense differentiates itself through its proprietary in-chip technology and AI-powered analytics capabilities, making it particularly well-suited for organizations dealing with high data volumes and complex queries. In the AdTech and broader analytics ecosystem, Sisense serves as a critical infrastructure layer for companies that want to offer data insights as part of their own products. Its embedded analytics offering is widely used by SaaS vendors, media companies, and digital marketing platforms to surface performance metrics and audience insights within their own dashboards. The company has expanded its capabilities through acquisitions, including Periscope Data in 2019, which added data science and SQL-based analytics to its portfolio. Sisense has raised significant venture funding and has positioned itself as a strong competitor to Tableau, Looker, and Power BI, particularly in the embedded analytics segment. The company underwent a significant restructuring and was acquired by a private equity firm, continuing to operate as an independent entity focused on AI-driven analytics and embedded intelligence for product teams and enterprises.

Business model

SaaS

Target market

Enterprise

What they offer

  • Sisense Fusion

    An embedded analytics platform that allows developers to integrate analytics and dashboards into external applications using APIs and SDKs

  • Sisense for Cloud Data Teams

    Formerly Periscope Data, a SQL and Python-based analytics tool for data scientists and analysts

  • Sisense Analytics Platform

    A full-stack BI platform for building dashboards, reports, and data visualizations with drag-and-drop functionality

  • AI-Powered Insights

    Machine learning-driven features that surface anomalies, trends, and predictive insights automatically

  • Sisense BloX

    A customizable widget framework for building tailored analytics experiences within embedded deployments

Key features

Embedded analytics with white-labeling supportIn-chip data processing technology for fast query performanceDrag-and-drop dashboard builderAI and machine learning-powered insightsREST API and JavaScript SDK for embeddingMulti-cloud and hybrid deployment supportNatural language queryingData connectors for 100+ sourcesRow-level security and multi-tenant architecture

Use cases

Embedding analytics dashboards into SaaS productsCustomer-facing reporting for digital marketing platformsAdTech performance reporting and campaign analyticsSelf-service BI for enterprise business usersData science and SQL-based analysis for data teamsOperational analytics for internal business workflowsOEM analytics for software vendors

Customer segments

SaaS companies embedding analytics into their productsEnterprise organizations with complex data needsDigital marketing and AdTech platformsMedia and publishing companiesFinancial services firmsHealthcare organizationsRetail and e-commerce companies

Tech & specs

Technology stack

In-chip data processing engineJavaScript / React (frontend SDKs)REST APIsPython (Periscope Data integration)SQL query engineCloud-native microservices architectureAWS, Azure, GCP support

Security & compliance

SOC 2 Type IIGDPRCCPAISO 27001HIPAA

Deployment

CloudOn-premiseHybrid

API

Yes

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