Virtual Golden Layer & Cross-Database Federation
Break through corporate data silos. Ask questions that span PostgreSQL, Snowflake, BigQuery, and spreadsheets simultaneously. Decyra queries each engine concurrently and joins the records in-memory in milliseconds.
Almost every AI data tool assumes you have just one database.
In reality, modern companies keep signups in PostgreSQL, billing in Snowflake, clickstreams in BigQuery, and operational targets in Excel. Nobody has built an intuitive conversational AI analyst that queries across heterogeneous multi-database architectures without code — until Decyra.
To answer cross-system questions today, companies spend six figures on ETL tools (Fivetran, dbt, Airflow) plus months of engineering time. By joining on the fly in-memory, Decyra solves a problem that normally requires 2 full-time data engineers.
Live Interactive Concept
How Decyra In-Memory Federation Works
Watch how natural language questions decompose into engine-specific sub-queries and join in RAM without moving raw database disks.
Architecture
Engineered for Speed, Scalability, and Privacy
Pushdown Predicate Architecture
Decyra pushes filters and aggregations down to each native engine (Postgres, Snowflake, BigQuery), then retrieves only matching summary records to join in-memory in milliseconds. Fast, scalable, and bandwidth-efficient.
Virtual Data Marts Without ETL
Stop spending weeks building dbt and Airflow pipelines just to join CRM signups with billing invoices. Define virtual relationships and create unified Golden Records on demand.
Zero-Storage Enterprise Privacy
Data is processed ephemerally in RAM and discarded immediately after the query. Decyra never persists or stores your customer data, ensuring immediate SOC2 and GDPR compliance.
The Next Frontier: 3 Next-Gen Leaps
Where Decyra is heading next to redefine business intelligence from reactive questions to autonomous foresight.
Autonomous Self-Driving Analyst
Instead of waiting for you to log in and think of a question, Decyra runs background semantic anomaly scans every 6 hours across your live databases.
Zero-Setup Semantic Auto-Linking
In traditional tools, data engineers manually specify foreign keys. Decyra uses vector embeddings to auto-discover relationships across tables and files without human intervention.
Predictive "What-If" Simulations
Traditional BI only looks backward. Decyra enables forward-looking decision modeling using Monte Carlo simulation directly in the browser.
Ready to eliminate your data silos?
Start querying your PostgreSQL, Snowflake, and spreadsheet data today. Join the early beta for cross-database federation.