Low-Code CDC lets teams set up real-time change data capture through a visual interface — streaming row-level inserts, updates, and deletes from source databases into governed pipelines, no code required.
Batch loads leave AI agents working on yesterday's data, while hand-built change capture is fragile, code-heavy, and breaks the moment a source schema changes.
Nightly loads mean AI agents and dashboards decide on yesterday's state. In fraud, credit, and operations, stale data produces decisions that are already wrong.
Custom change-capture code is complex to build and breaks the moment a source schema changes — leaving teams firefighting pipelines instead of delivering data.
Change streams move sensitive data at high velocity. Without governance in the stream, PII flows downstream unmasked, faster than any manual check can catch.
Pick a source database and the tables to capture — through a visual interface.
Choose inserts, updates, deletes, and masking rules with guided controls — no code.
PII is masked in-stream, schema changes are handled, and lineage is captured per row.
Governed change data flows in real time to lakehouse, agents, and analytics.
Stream row-level inserts, updates, and deletes from source databases the moment they happen — so AI agents and dashboards always reflect current state.
Configure change data capture through a visual interface — select tables, set rules, and start streaming without writing or maintaining fragile custom code.
PII is detected and masked in-stream, so sensitive change data is protected at velocity — not after it has already flowed downstream.
Low-code CDC adapts to source schema changes automatically, so column renames and type changes no longer break your real-time pipelines.
Every captured change carries lineage from source row to target, so real-time change data capture stays fully auditable for regulated industries.
Capture changes from core banking, loan origination, CRM, and other relational sources — governed identically through the low-code CDC builder.
Low-code CDC is a visual way to set up change data capture — streaming row-level inserts, updates, and deletes from source databases — without writing code. Tantor's low-code CDC governs the stream automatically, masking PII and capturing lineage per row.
Batch loading copies data on a schedule, leaving AI agents working on stale data. Change data capture (CDC) streams only what changed, the moment it changes — so low-code CDC keeps dashboards and agents current in real time.
Yes. Tantor's low-code CDC governs the change stream — PII is masked in-stream, schema changes are handled automatically, and row-level lineage is captured — so real-time change data capture stays auditable in regulated industries.
No. Low-code CDC replaces fragile, hand-built change-capture code with a visual interface — you select source tables, configure rules, and start streaming governed change data, with schema changes handled automatically.
See how Tantor Low-Code CDC streams governed, row-level change data in real time — PII masked in-stream, schema changes handled, lineage tracked per row.