Migration costs vary based on the size and complexity of your Oracle environment. Factors include the number of databases, total data volume, number of stored procedures, and Java application dependencies. Mactores provides a detailed cost estimate after a free discovery assessment, so there are no surprises.

The 80-90% savings figure refers to eliminated Oracle licensing fees — typically the largest line item in enterprise database spending. This includes Oracle Database licenses, support contracts, and associated infrastructure costs. AWS database services like Aurora PostgreSQL have no per-core or per-user licensing fees.

Common costs to plan for beyond licensing include AWS infrastructure (compute, storage, data transfer), migration services engagement fees, staff retraining, and any third-party tools required. Mactores surfaces all of these in the discovery phase so your total cost of ownership is clear before any work begins.

With Mactores Accelerators, most environments complete in 6-10 weeks end-to-end — compared to 10-14 months for traditional manual approaches. Discovery wraps in 3-5 days, schema conversion in 2-4 weeks, and data migration and testing in another 2-4 weeks. Complexity of custom PL/SQL and Java integrations is the primary variable.

Yes. Mactores uses AWS Database Migration Service (DMS) with ongoing replication to keep Oracle and the target AWS database in sync during the migration window. Cutover is typically a short, planned maintenance window — often under an hour — rather than a full outage.

Custom PL/SQL, Oracle-specific packages, and proprietary features are handled by our AWS-certified engineers. AI tools automate bulk conversion and flag complex patterns for expert review. We have handled 50+ migrations including environments with heavy stored procedure usage, Oracle Text, Spatial, and Advanced Queuing.

The right target depends on your workload. Amazon Aurora PostgreSQL is the most common choice for OLTP workloads. Amazon Redshift suits analytical and reporting workloads. Amazon RDS PostgreSQL works well for smaller environments. Mactores recommends a target based on your query patterns, scale requirements, and budget during the assessment phase.

Most customers see equivalent or better performance after migration and optimization. Aurora PostgreSQL is designed to deliver high throughput with automatic storage scaling. Post-migration, Mactores applies PostgreSQL-specific indexing, query rewrites, and connection pool tuning to maximise performance on the new platform.

Automated validation runs row counts, checksum comparisons, and referential integrity checks between Oracle and the target database at every stage. Our testing accelerator also replays production query logs against both systems and compares results before any cutover is approved.

Every migration includes a documented rollback plan. Because Oracle remains live throughout the migration using DMS replication, reverting to Oracle is always an option until you sign off on cutover. Mactores engineers are on-call during the cutover window to resolve any issues in real time.

Yes. Post-migration support includes a hypercare period with dedicated engineering coverage, performance monitoring, and continuous optimisation. Longer-term managed services options are available for teams that want ongoing AWS database management without building the capability internally.

Mactores works alongside your DBA and development teams rather than replacing them. We provide knowledge transfer throughout the project so your team understands the new environment. Training on PostgreSQL and AWS tooling is included, and most teams report feeling more confident managing the AWS platform than their previous Oracle environment within 90 days.

The free working session is designed to answer exactly that question. We assess your current Oracle footprint, licensing spend, application complexity, and business goals to produce a migration readiness scorecard. If migration isn't the right move for you right now, we'll tell you — we'd rather give honest advice than start an engagement that doesn't deliver value.

A phased approach is common and often preferable. Many customers migrate non-critical databases first to build confidence, then tackle mission-critical systems with the lessons learned. Mactores designs a sequenced roadmap that lets you capture quick wins and de-risk the overall programme.

Absolutely. A pilot migration of one database or application is a low-risk way to validate the approach, build internal confidence, and quantify actual savings before committing to the full programme. Mactores structures pilots to be representative of your broader environment so the results are meaningful.

It helps to have a rough sense of your Oracle database count, total data volume, current licensing spend, and which applications connect to Oracle. Exact figures aren't required — the working session is a conversation, not an audit. The more context you can share, the more specific our recommendations will be.

The working session runs for approximately 90 minutes. We spend the first half understanding your environment and goals, and the second half walking through a tailored migration approach, timeline estimate, and cost-savings projection specific to your situation.

Within 3-5 business days you receive a written summary covering your current Oracle TCO, projected AWS costs, estimated migration timeline, recommended target architecture, and suggested next steps. There is no obligation to proceed — the session deliverable stands on its own as a useful planning document.

Yes, completely. There is no charge for the session, no obligation to proceed with a paid engagement, and no sales pressure. We invest the time because well-informed customers make better partners — and because the session often reveals savings opportunities that make the decision straightforward.