The core built on CQRS
SaaScada is built on Command Query Responsibility Segregation, or CQRS, a design that treats the writing of transactions and the reading of data as decoupled tasks. SaaScada is the first core banking software engineered this way. The result is a core that runs transactions at full speed and gives you complete, real-time data and no compromise between the two.
An industry first. SaaScada is engineered on CQRS, an approach unique in core banking. It runs in production environments today, giving clients confidence in system performance and business operations.
Query all you like, while transactions run at speed
Because reads and writes run independently, the demands of risk, compliance, analytics and AI never draw on the same resources as transaction processing. Your teams can run the heaviest queries at your busiest moments, and customers still get instant service. Underneath, the write side commits each transaction to an immutable, event-sourced ledger, while dedicated read-side projections serve every query separately.
Data ready the instant it is created
Every transaction becomes live data the moment it happens. Read-side projections consume the event stream to build balances, transactions, accruals, roll-forward analysis and any view you need, each exposed through APIs and webhooks, so the right data reaches the right system in real time and your ledger functions continuously.
New insight without a change project
Every event is stored in full, including details you may not report on yet. So when you need a new report, a new regulatory return or a new model, you build it by replaying history rather than re-engineering your core. A new data view becomes a configuration, not a migration.
Stable as both transactions and data scale
Keeping the write and read sides separate means transaction throughput stays steady as query demand grows, so performance holds through peaks and as your data needs expand. The command and query sides scale independently, removing the contention that ties them together in a single-model core.
How it works
A command, such as a payment, is validated and written to an immutable ledger as a permanent record. The same events are then projected into independent read models for balances, transactions, accruals and any bespoke view, and published through APIs and webhooks. Writes stay fast and consistent, reads stay rich and real-time, and the complete event history is always there to replay.