Your Data Platform Is the Foundation.
Rubiscape Is the Intelligence Layer.
Your Databricks, Snowflake, or lakehouse handles storage, compute, and ML. Rubiscape adds the business-facing intelligence layer: dashboards, AI copilot, governance, and decision workflows on top.
Zero Data Movement
No copy, no re-ingestion. Query directly where your data already lives.
Zero Data Movement
Rubiscape connects directly to your existing data platform via native connectors — reading from Delta Lake tables, Snowflake schemas, or S3-backed lakehouses without requiring data to be copied, moved, or re-ingested. Your data stays where it is.
Complementary Capability
Adds BI, AI copilot, and governance where your data platform stops.
Complementary Capability
Databricks excels at large-scale data transformation and ML experimentation. Snowflake excels at analytical query performance. Rubiscape adds what both lack: a unified business intelligence layer, an AI decision copilot, IoT integration, and a complete governance kernel visible to non-technical stakeholders.
Governed Interoperability
RBAC stacks on top of your existing access controls — no conflict.
Governed Interoperability
When Rubiscape sits above your data platform, governance propagates downward not upward. RBAC policies defined in the Business Workbench enforce what data Rubiscape surfaces from your underlying platform. Your data platform's access controls and Rubiscape's governance layer stack, not conflict.
Native Connectors. Verified Integration.
No Custom Glue.
Databricks
Rubiscape connects natively to Databricks' Unity Catalog, reads from Delta Lake tables, and integrates with Databricks ML models for serving through RubiStudio. Business users access Databricks-computed intelligence through RubiSight and RubiAI without writing a single PySpark query.
Snowflake
Rubiscape's Snowflake integration enables direct query pushdown analytics queries run in Snowflake's compute, results surface in RubiSight dashboards. Snowflake Dynamic Tables and Streams integrate with RubiFlow for near-real-time analytics pipelines.
Open Lakehouse (Delta Lake / Apache Iceberg)
Rubiscape supports open table formats natively reading from Delta Lake and Apache Iceberg tables stored in S3, ADLS, or GCS. Compatible with dbt models, Apache Spark transformations, and Kafka streaming pipelines. No vendor lock-in at the storage or compute layer.
What Your Data Platform Delivers.
What Rubiscape Adds.
What your data platform provides
- High-performance data storage and query
- Large-scale data transformation (ETL/ELT)
- ML model training and experimentation
- Data cataloguing and access control
What Rubiscape adds on top
- Business-user-accessible BI and dashboards (no SQL required)
- AI decision copilot (natural language queries for executives)
- End-to-end decision workflow with human-in-the-loop
- IoT and OT data integration (RubiThings)
- Complete audit trail from raw data to business recommendation
- Executive briefing-level governance visibility
The clearest use case for adding Rubiscape to an existing data platform: your data engineers have built excellent data pipelines and ML models, but business stakeholders cannot access the output without specialist help. Rubiscape closes the last mile from governed data to governed decision.
