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Structured, low-risk upgrade paths from end-of-life Oracle versions to Oracle Database 23ai — the latest long-term support release. From 8i to 23ai, we've covered every major version gap.
A version upgrade is more than running DBUA. We cover the full scope — from pre-upgrade validation through to post-go-live performance baselines — so there are no surprises at cutover.
Full Oracle estate inventory — deprecated features, desupported parameters, invalid objects, and application coupling points. We produce a compatibility report before any upgrade work begins.
Oracle Pre-Upgrade Information Tool (preupgrade.jar) analysis, fix-up scripts, and a clear remediation log. Every blocking issue resolved on a clone before touching production.
Packages, procedures, triggers, and views reviewed and remediated for 23ai compatibility. Data Pump used for schema-level migration; RMAN for full database transport where needed.
Upgraded staging environment runs alongside production. Queries, batch jobs, and integration points tested against both. Discrepancies documented and resolved before cutover is scheduled.
Oracle Data Guard or GoldenGate replication keeps source and target in sync through cutover. Documented rollback plan with tested triggers — go/no-go criteria agreed with your team before the window opens.
AWR baselines captured pre and post upgrade. ADDM and SQL Tuning Advisor run over the first week of production traffic. Any plan regressions addressed with SQL Plan Baselines before hypercare closes.
Every Oracle version upgrade we run is structured around one principle: production never sees a risk that wasn't already tested on a controlled clone. This means we front-load the difficult work — compatibility analysis, object remediation, and regression testing — before any production window is scheduled.
We use Oracle's own toolchain wherever possible: DBUA for in-place upgrades, Data Pump for schema portability, RMAN for full database transport, and Oracle Data Guard for synchronized cutovers. Where the source version is too old for a direct path (8i, 9i, early 10g), we stage the upgrade through an intermediate release on a dedicated instance.
Our engineers maintain AWR baselines throughout the engagement. If a SQL plan regresses after upgrade — common when optimizer statistics change between versions — we capture and pin the prior plan using SQL Plan Baselines before it reaches production monitoring teams.
Hypercare runs for two to four weeks after go-live: daily performance reviews, incident support, and a structured handoff that leaves your DBA team with documented baselines and runbooks.
A structured sequence — no phase begins until the previous one has a signed-off deliverable. This discipline is what keeps production risk predictable.
Full estate inventory, deprecated feature scan, compatibility report, and an agreed scope of work before a single conversion runs.
Target Oracle 23ai environment built and validated. Source database cloned. Pre-upgrade scripts applied, fix-ups completed, and object inventory reconciled.
Upgrade executed on clone first — DBUA or Data Pump + RMAN path depending on version gap. Full regression suite run. Parallel-run period on staging until parity is confirmed.
Cutover runbook executed with OptiSol engineers on standby. AWR baselines captured. Hypercare begins — daily reviews until formal handoff.
We use Oracle's own tooling wherever possible — not third-party approximations. Every tool below has been used in production upgrade engagements.
Two engagements showing how a structured upgrade path retires end-of-life risk without a disruptive cutover.
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