Oracle Autonomous Database automates patching, tuning, and scaling, which removes a real operational burden. The trick is configuring it for your workload and your budget. That is the part we do.
Autonomous Database comes in transaction processing and data warehouse flavours, on shared or dedicated infrastructure. It handles patching, backups, and a lot of tuning for you, which frees your DBAs for work that matters. Left on defaults, though, it can still cost more than it should.
We choose the right workload type, set auto scaling sensibly, and tune the pieces that remain in your hands, so you get the automation benefit without paying for headroom you never use.
Choosing transaction processing or data warehouse, shared or dedicated, to match how the data is used.
Setting auto scaling and OCPU limits so the database flexes with load but never runs away on cost.
Moving existing Oracle databases into Autonomous with the method that fits your downtime window.
Schema, indexing, and query work that automation does not cover, handled by people who know Oracle.
Where each Autonomous Database option tends to fit. Your data profile decides the answer, which an assessment confirms.
| Option | Best for | Watch out for |
|---|---|---|
| Autonomous Transaction Processing | Mixed read and write application workloads | Sizing OCPU and storage to peaks not averages |
| Autonomous Data Warehouse | Analytics and reporting over large data sets | Query patterns that defeat auto indexing |
| Shared infrastructure | Lower cost entry and elastic scaling | Less control over isolation and maintenance windows |
| Dedicated infrastructure | Isolation, governance, and predictable performance | Higher floor cost, plan utilisation |
How a reporting workload moved to Autonomous and cut DBA hours 60 percent.
Read itBook an assessment and we will show you what good looks like for your workloads, in writing, with a clear price.