Sisense

Embeddable analytics platform for building dashboards on top of ERP data.

Updated August 2026 · By the ERP Research Editorial Team · Independent and vendor-neutral.

Works with: NetSuiteSAP
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.

Modules & capabilities

Sisense covers 21 of 45 capabilities we track in this category

47%

Drag-and-drop dashboard/report authoringDrag-and-drop dashboard and widget builder
Supported
Interactive filtering, drill-down and cross-filteringInteractive filters and drill-down
Supported
Broad chart and visualization libraryWide range of visualization types; custom widgets and plugins
Supported
Mobile-optimized dashboards
Not evidenced
Geospatial / map visualizations
Not evidenced
Pixel-perfect / paginated report layouts
Not evidenced
Narrative data storytelling
Not evidenced

“Not evidenced” means our research found no public documentation of this capability — the vendor may still offer it. Confirm on a demo.

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

NetSuiteNetSuite via SuiteAnalytics Connect / data warehouse

Open API

Reads from ERPNetSuite records via ODBC

No native NetSuite connector; typically accessed via SuiteAnalytics Connect (ODBC) or an intermediate warehouse.

SAPSAP via extraction layer / data warehouse

File-based

Reads from ERP

No native SAP connector found; SAP data is typically staged through a data warehouse or extraction layer before Sisense connects to it.

Connector details independently verified against vendor marketplaces and documentation; last checked 2026-08-11.

Pricing

Model

Quote-based

Free trial

Yes

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

DomoCloud BI platform with dashboards, apps, and ERP data connectors.GoodDataEmbedded analytics platform for building dashboards into business applications.LookerGoverned semantic-layer BI and embedded dashboards over warehoused ERP data.Microsoft Power BISelf-service dashboards with native connectors for Dynamics 365 and other ERPs.Phocas AnalyticsERP-focused self-service BI for distribution, manufacturing, and retail.Qlik SenseAssociative-engine self-service BI and dashboards for ERP and operational data.

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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