Your Data.
Your Rules.
Your Island.
The sovereign lakehouse platform with versioned storage, SQL analytics, enterprise security, and AI-native integration. Runs on your infrastructure.
Versioned lakehouse + agentic AI workbench.
One platform, two surfaces. SQL-first storage for engineers and BI, natural-language reasoning for everyone else — sharing the same data, the same RBAC, the same audit trail.
Four Layers. One Platform.
Data Island is a complete data platform built from the ground up with security, governance, and AI at its core.
Everything You Need to Own Your Data
A complete data platform that replaces a dozen tools. Versioned, governed, and ready for AI.
Versioned Storage
Every write creates an immutable snapshot. No data is ever silently overwritten. Point-in-time queries let you see data as it existed at any moment.
Learn moreMulti-Cloud Freedom
Run on AWS S3, Azure Blob, Google Cloud Storage, MinIO, or local disk. Switch backends with a configuration change — no migration project.
Learn moreSQL-First Analytics
Standard SQL queries with automatic engine selection. DuckDB for fast OLAP, Spark SQL for heavy workloads. Zero configuration required.
Learn moreEnterprise Security
Role-based access control with row-level and column-level security. Token-based auth with configurable permission tiers. Gatekeeper handles identity.
Learn moreAI-Native Integration
Built-in MCP server lets Claude Desktop and AI assistants query tables, explore schemas, and execute SQL through natural conversation.
Learn moreBI Tool Integration
OData 4.0 endpoint for Power BI, Excel, and Tableau. Analysts configure a URL and token — no drivers, no plugins, no ETL pipelines.
Learn moreUp and Running in Minutes
Three steps from zero to querying your data.
Connect
Point Data Island at your storage backend — S3, Azure Blob, GCP, MinIO, or local disk. One environment variable.
Ingest
Write data via the REST API or Python SDK. Every write is automatically versioned, deduplicated, and audit-logged.
Analyze
Query with SQL, connect BI tools via OData, or use AI assistants through MCP. The engine auto-selects based on data size.
Built for Every Data Role
One platform, five workflows — from engineering to compliance to AI-assisted analytics.
Data Engineers
Build & IngestWrite with the Python SDK, query with SQL. The platform handles schema evolution, dedup, and storage optimization — no Spark cluster to manage.
Compliance Officers
Audit & GovernanceImmutable audit trails with SHA-256 hash chains, row- and column-level access control, and 7-year log retention. Built for DORA, SOC 2, and GDPR.
BI Analysts
Analyze & VisualizeConnect Power BI or Excel directly via OData. Live dashboards against production data — no waiting for engineers to build ETL pipelines.
AI / ML Teams
Reason & AutomateConnect Claude Desktop or Cursor via MCP. Query tables, explore schemas, and profile columns through natural-language conversation.
Platform Builders
Scale & IntegrateMulti-org isolation, cross-org data sharing, and open-format mirroring for Spark, Databricks, and dbt ecosystem interoperability.
Decision Makers
Control & SovereigntyOwn the data layer end-to-end. No phone-home, no per-query egress, no vendor lock-in — sovereign infrastructure with a transparent license.
Integrates With