An enterprise BI and data visualization platform connecting 50+ SQL databases with 40+ chart types, semantic layer, row-level security, and SQL Lab — zero license cost.
InsightBoard is an enterprise business intelligence and data visualization platform — used at Airbnb (where the underlying engine was born), Twitter, Netflix, Lyft, and hundreds of enterprises globally. It connects to 50+ SQL databases, supports 40+ chart types, provides a no-code chart builder for analysts, SQL Lab for power users, a semantic layer for reusable metrics, and enterprise row-level security and RBAC. Under Apache Foundation governance, it carries the institutional credibility that data teams require.
Tableau and Power BI charge $70–$100 per user per month — for a 100-person analytics team, that’s $84,000–$120,000 per year before server costs. More importantly, cloud BI platforms route queries through vendor infrastructure, meaning organizational data transits systems outside the company’s control. For financial services, healthcare, and government organizations with data residency requirements, that’s not an acceptable architecture. For data-intensive organizations connecting to Snowflake, BigQuery, Databricks, or internal data warehouses, per-seat licensing creates a structural incentive to restrict data access rather than democratize it.
InsightBoard runs in the data team’s own infrastructure — queries hit the data warehouse directly, data never leaves the environment, and all access is governed by the organization’s own RBAC policies. The Python/Flask backend uses SQLAlchemy as the database abstraction layer, supporting 50+ databases through a single query interface. The React frontend delivers the chart builder, dashboard editor, and SQL Lab through a modern browser interface that non-technical analysts can use without training. Redis and Celery handle async query execution and caching, enabling dashboards that update on a schedule or on-demand. For CTOs, Kubernetes deployment with Helm charts provides production-grade orchestration with horizontal scaling for high-concurrency BI workloads.
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