Better CDC, not different CDC

See Every Change Across Your Oracle EstateUnified observability for enterprise databases

A single platform for monitoring, auditing, and understanding database changes in real time. Built for enterprises that can't afford downtime or fragmented tools.

Works alongside Debezium, GoldenGate & Oracle LogMiner — no rip-and-replace
Built for teams already running
DebeziumGoldenGateOracle LogMinerCustom CDC

The CDC gap

Your CDC tool captures changes — but misses the context and automation that matter

Debezium, GoldenGate and LogMiner are great at recording what changed. They leave you guessing on the rest.

01

Lost application context

Your CDC sees "table ORDERS updated" but not why — which microservice, which business process triggered it. So incidents drag on and audit trails stay incomplete.

No shared truth between DBA & app teams
02

Rigid, one-size configuration

Capture everything (high volume, high cost) or nothing (risk). "Just these 5 columns from USERS" means custom code you maintain forever — and upgrades break it.

Customization requires database changes
03

Manual alerting means missed problems

CDC gives you the data — you write every alert rule. You can't catch what you didn't think to look for, and problems compound while you firefight.

No automated early warning
04

Database cost & overhead burden

Enterprise licensing, supplemental logging, triggers, extra CPU and memory on the database server — and you're locked into Enterprise Edition just to run CDC at all.

Extra licensing & operational load
05

Expensive storage & vendor lock-in

Keeping years of CDC data in PostgreSQL or Elasticsearch costs 10–100× more than it should — and tools that only run on one cloud trap you there. So old data gets deleted, right when an audit needs it.

Can't afford long-term retention

How Orbitra enhances CDC

Same capture, better insight, automated detection

Orbitra builds on the CDC you already trust — and closes every gap it leaves behind.

01

Application context for every change

The same change capture you're used to — now with the full story attached. See which Java code, which microservice, and which business process triggered each change, end to end.

From "what changed?" to "why did it change?" in one view
02

AI-powered anomaly detection

Orbitra learns your normal baseline and flags the deviations — unusual change volumes, performance spikes, data-quality drift, cascading failures. No manual rules to write for every scenario.

Stop firefighting — problems caught before users feel them
03

Granular, rules-based customization

Define exactly what to capture — which tables, columns and operations — through rules, not code or database modifications. Tune audit rules per compliance, performance or cost requirement, on the fly.

Capture what matters — not everything
04

Storage efficiency & flexible deployment

Advanced compression keeps years of CDC data at a fraction of traditional cost — 10–100× lower than PostgreSQL or Elasticsearch. Run on-premises, on AWS, Azure or GCP, or hybrid.

Long-term retention becomes affordable — deploy anywhere

Who benefits

Real scenarios from CDC users

Four industries, four CDC tools, one missing piece — application context with automated detection.

Financial Services
Debezium users
Scenario
Audit trail for regulatory compliance — but auditors ask "who triggered this, and was it intentional?"
CDC gap
Debezium shows the transaction was recorded, with no application context.
Orbitra adds
Full audit trail mapping Java code → database change with timestamps and user context.
"We can now prove which application triggered each change for compliance audits."
E-Commerce
GoldenGate users
Scenario
Order processing spans many microservices; when inventory doesn't match orders, who's responsible?
CDC gap
GoldenGate shows inventory updated, but can't trace which order service did it.
Orbitra adds
The full causal chain — order service → inventory service → database changes in one trace.
"We stopped debugging across 5 log files — it's all in one trace now."
Healthcare
LogMiner users
Scenario
Patient-data modification audit for HIPAA compliance.
CDC gap
LogMiner sees that data was modified — but not who modified it or from where.
Orbitra adds
Application context: exact Java code, user ID, timestamp and purpose for every change.
"Our audits are complete — we can prove every change for compliance."
Manufacturing
Custom CDC
Scenario
Multi-system sync from ERP/MES — when data conflicts, which system is wrong?
CDC gap
Custom CDC captures changes but can't correlate across systems or find root cause.
Orbitra adds
See which system changed what, when — and trace the full causal chain.
"Debugging sync conflicts went from hours to minutes."

Why teams choose Orbitra

Better CDC for teams already using CDC

Five reasons enterprise data teams move to Orbitra — without ripping out what works.

Easy migration

Runs alongside or replaces Debezium, GoldenGate, LogMiner or custom CDC. No rip-and-replace — migrate in parallel, your expertise transfers.

Zero added database cost

No Enterprise Edition upgrade, no supplemental logging, no triggers. Same database footprint, no extra CPU or memory pressure.

Automated problem detection

AI anomaly detection flags issues automatically — learns your baseline, alerts on deviation, and catches cascading failures. Lower MTTR, no manual rules.

10–100× lower storage

Keep years of historical CDC data affordably, with high-performance queries even on massive datasets. No deleting old data for cost reasons.

Deploy anywhere, no lock-in

On-premises, cloud (AWS, Azure, GCP) or hybrid — one platform everywhere. Flexible licensing, pay for what you use, migrate whenever.

Proven at scale

Trusted by enterprise data teams

500+
Databases monitored in production
99.99%
Platform uptime, with sub-100 ms query latency
10–100×
More cost-effective storage than legacy solutions
15+
Countries running Orbitra across on-prem & cloud
We kept our existing CDC pipeline and added Orbitra on top. Within a week, incident reviews that used to span five log files became a single trace — and anomaly alerts started catching things before customers did.
MR
Maya Rodriguez
VP Engineering, Enterprise FinTech

Common questions

Everything you might be wondering