Sisense
by Sisense · Embedded BI
Embeddable analytics platform for building dashboards on top of ERP data.
- Works with
- NetSuite, SAP
- Deployment
- Cloud, On-premises
- Company size
- Mid-market, Enterprise
- Pricing
- Quote-based
- Founded
- 2004
- Headquarters
- New York, New York, United States
Overview
Sisense is a business intelligence and embedded analytics platform that lets organizations and software vendors build, embed, and deliver interactive dashboards and AI-driven insights on top of their data. The platform is known for an architecture that supports both in-chip/ElastiCube data modeling and live connections to cloud data warehouses, giving teams flexibility between high-performance cached data and direct querying.
Sisense places strong emphasis on embedded and white-label analytics, with APIs, SDKs (including the Sisense Compose SDK), and customization options that let developers weave analytics into their own applications and customer-facing products. It connects to databases, cloud warehouses, and business applications, and can sit on top of warehoused ERP data for operational and financial reporting.
The platform includes AI and natural-language capabilities for generating insights and narratives, along with role-based access controls, data security, and governance suitable for multi-tenant deployments. Sisense is positioned heavily toward product teams and ISVs that want to monetize analytics rather than only internal BI.
Screenshots & demo
Demo video from the vendor's YouTube channel. Screenshots sourced from Sisense.
Features & capabilities
Embedded Analytics & SDKs
Developer-first embedding.
- Compose SDK for code-first React/Angular/Vue embedding
- REST and JavaScript APIs for integration
- White-label and full customization of look and feel
- Multi-tenant data security for customer-facing analytics
- Embedded dashboards, widgets, and components
Data Modeling & Engine
Cached and live data architecture.
- ElastiCube in-chip columnar data engine
- Live connections to cloud data warehouses
- Hybrid models mixing cached and live data
- Data modeling and relationships across sources
- Custom tables and SQL transformations
Dashboards & Visualization
Interactive analytics content.
- Drag-and-drop dashboard and widget builder
- Wide range of visualization types
- Interactive filters and drill-down
- Custom widgets and plugins
- Pixel-level customization for embedded contexts
AI & Augmented Analytics
AI-driven insight generation.
- Natural-language query and generative-AI assistance
- Automated insights and narratives
- Forecasting and trend detection
- AI-powered analytics chat experiences
Connectivity
Source integration.
- Connectors for databases and cloud warehouses (Snowflake, BigQuery, Redshift)
- Connectors for business applications and SaaS sources
- Generic SQL/JDBC connectivity for ERP-backed warehouses
- API-based data ingestion
Security & Governance
Enterprise controls.
- Role-based access control and row-level security
- End-to-end encryption
- Data residency configuration options
- Audit and usage monitoring
Common use cases
- ISVs embedding customer-facing analytics into SaaS products
- Building white-label dashboards on warehoused ERP and operational data
- Multi-tenant analytics with per-customer data isolation
- Operational and financial dashboards on cloud data warehouses
- AI-driven natural-language exploration for end users
- Replacing static reports in internal applications with interactive analytics
Strengths & considerations
Strengths
- Strong focus on embedded, white-label, and developer-first analytics (Compose SDK)
- Hybrid architecture supporting both ElastiCube caching and live warehouse queries
- Geared toward ISVs monetizing analytics in their products
Considerations
- Pricing is quote-based and can be substantial at enterprise scale
- Best value realized when embedding rather than as a simple internal BI tool
ERP integrations
Pricing
Pricing is not publicly listed and is quoted by sales. Cost is driven by deployment model (cloud vs self-hosted), number of users/viewers, data volume, and embedding scope; published third-party estimates start in the tens of thousands of dollars per year. Get an independent shortlist with pricing guidance below.
Technical & security
- Hosting
- SaaS (cloud-native) or self-hosted
- Data residency
- US, EU
- Compliance
- SOC 2 Type II, ISO 27001, ISO 27701, HIPAA, GDPR
- Mobile app
- Yes
- Languages
- English, and others
About the vendor
- Founded
- 2004
- Headquarters
- New York, New York, United States
- Employees
- ~500-700
- Ownership
- Private (venture-backed)
Alternatives to Sisense in Embedded BI
Sisense — frequently asked questions
Is Sisense mainly for embedded analytics?
While it can serve internal BI, Sisense is strongly positioned for embedded and white-label analytics, with the Compose SDK and APIs aimed at product teams and ISVs.
Does Sisense require caching data?
No. Sisense supports its ElastiCube in-chip engine for cached performance and live connections to cloud data warehouses, plus hybrid models combining both.
What compliance certifications does Sisense hold?
Sisense states it maintains SOC 2 Type II, ISO 27001, and ISO 27701, among other security controls.
Evaluating Embedded BI?
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