Sisense vs. Sigma, Power BI, Thoughtspot, Omni, and more

Choose the embedded analytics platform built for product teams. Sisense gives you full control, no rigid tools.

Watch the demo to see how Sisense empowers you with:
  • Cloud agnostic compatibility
  • API-first architecture for devs
  • SDKs and APIs for low-code to pro-code teams

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Trusted by the world’s leading organizations

Competitive comparison

Category	Sisense	Competitors
Embedding and white-labelling	Seamless SDK’s; fully white-labeled, CSS/JS hooks, themeable out-of-the-box	Basic embed options; inconsistent theming, often tied to vendor UI
Developer and extensibility	Rich APIs/SDKs (JS, Python, REST, React, VUE, Angular), plugin framework, CLI/templating, CI/CD integration	Limited or platform-specific APIs; minimal CLI/tooling; few customization hooks
Creator and designer Experience	Full drag-and-drop canvas, grid/snapping, style palette, template gallery, free-form design previews	Grid-based authoring; basic color theming; no reusable template managemen
Data prep and integration	Connects to any cloud/on-prem source; built-in ELT/semantic layer; live queries and caching	Cloud-native connectors; reliance on third-party ETL; simple caching models
Self-service and end-user	Intuitive drag-and-drop UI, guided analysis, natural-language and SQL modes	Steep learning curve; limited guided analytics; SQL only in higher-tier editions
Governance and security	Granular roles, row/column-level security, multi-tenant isolation, full audit logging	Coarse permissions (e.g. “admin/user”), IAM-only controls, limited multi-tenant support
Performance and reliability	ETL Caching, high concurrency, elastic scaling, HA/DR support	Performance degradation under heavy or cross-source loads; synchronous scaling
Delivery and support	Expert-led onboarding, professional services, training, 24/7 support, vibrant community	Primarily self-service setup; standard tiered support; smaller user communities
Advanced analytics and AI	Built-in AI for builders and end-users, NLQ, auto-insights, plug-in ML models, BYO-model support	Basic platform-only AI features, limited anomaly detection; few options for custom ML
Ecosystem and marketplace	Marketplace of visual plugins, partner integrations, active developer community	Varying partner ecosystems, fewer third-party add-ons; community contributions are sparse
Pricing and licensing	Flexible per-user, customer, or usage-based models; transparent add-on licensing	Per-user or capacity-based pricing; complex tiers and overage fees; bundled into broader suites

"We went from custom application development to the ability to rapidly change something on the dashboard and then publish it again in real-time within the production environment—without sacrificing any of the security. That really helped us level up."

-Devin Vyain Senior Solutions Architect, Barrios

Read the Barrios case study

“We’re trying to enable our teams and coaches around the country to think in new ways and to look at data in different ways, and Sisense is helping us to do that.”

-Patrick Murphy Senior Director of Data and Product, USA Swimming

Read the USA Swimming case study

“Now that we’ve built the dashboards and templates with Sisense, nonprofits can simply check our library for the report template they need, and they’re off and running.”

-Tony Sasso Chief Product Officer, Funraise

Read the funraise case study

"With Sisense's AI capabilities, we are able to easily translate complex data, streamline interpretation (identifying gaps and trends in the data), and identify key impacts with speed that is changing the way we can react (While managing the risks) during clinical trials. Providing important insights into patient safety and making data surveillance more efficient."