Enterprises lose decisions to stale data every day. Tantor's CDC captures every row-level change at the source and delivers it to your AI agents in sub-minute latency — without disrupting production systems.
Read transaction logs from Oracle, PostgreSQL, SQL Server, MongoDB, MySQL — zero production impact
Log-based, non-intrusive capture of every row-level change the moment it occurs
Auto-classify, detect PII, tag lineage, apply access policies — at the point of capture
Changes available to the federation layer and AI agents in under 60 seconds
Without a governed platform, these problems compound with every new data source and every new AI deployment.
Batch windows of 12–24 hours mean AI agents operate on yesterday's data. A credit decision made at 10 AM may rely on balances from midnight.
Traditional approaches extract entire tables even when only a handful of records changed — creating compute spikes and slowing transactional systems.
When data changes are not governed from the moment they occur, every downstream query, report, and AI decision carries an ungoverned origin.
Reads database transaction logs directly — no triggers, no queries, near-zero overhead on production systems. Oracle, PostgreSQL, SQL Server, MongoDB, MySQL supported.
PII auto-detected, access policies applied, lineage tags established — before the change reaches any downstream system. Not bolted on after.
Changes flow directly into Tantor's federation layer and AI agents in under 60 seconds — eliminating the batch window entirely.
Every captured change is immutably logged — what changed, when, from where, and who consumed it. Regulator-ready from day one.
Every change immutably logged with timestamp, source, and consumer chain.
Sensitive fields detected and masked before any downstream delivery.
Every change traceable from source row to AI decision.
Access and masking policies applied at the moment of capture, not after.
See how Tantor's CDC eliminates stale data and delivers governed, real-time changes to your AI agents and analytics platforms.