Database Modernization

Legacy databases drive up licensing costs, complicate operations, and constrain the business. RapidScale helps you modernize the database layer itself, aligning each workload to the environment that makes the most sense.

The right engine, in the right place

We're platform-independent by design. With certified SQL and NoSQL DBAs, premier partner status across AWS, Azure, and Google Cloud, and a managed private cloud of our own, we recommend the target that fits each workload, not the one a vendor prefers. 

  • Licensing relief, not just lift-and-shift: Re-platforming off Oracle or SQL Server to PostgreSQL or MySQL can cut licensing dramatically, and we model the savings before you commit
  • The right home for each database: Public cloud, private cloud, or on-prem, matched to each workload's performance, compliance, and cost profile
  • SQL and NoSQL, fully covered: Relational, document, key-value, and graph, so the plan isn't limited to what one platform does well
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Comprehensive service lifecycle

Our DBAs assess the estate, lead the migration end to end, and run the result so it stays fast, secure, and cost-efficient. 

Advise

Start with a clear view of the estate, licensing exposure, and financial tradeoffs before making platform decisions. We assess the current environment, identify modernization opportunities, and build a roadmap based on cost, complexity, risk, and long-term fit.

  • Inventory every database, version, dependency, and supporting application
  • Model current spend against each modernization path, including open-source replatforming
  • Recommend the right engine and environment for each workload, then sequence the roadmap
Database modernization advise

Implement

Our DBAs lead the migration end-to-end, protecting data integrity, minimizing downtime, and helping maintain business continuity throughout the transition.

  • Set the migration strategy by aligning business goals, sequencing priorities, and the right target platform for each workload
  • Execute the transition with control through schema conversion, data movement, and continuous synchronization designed to reduce disruption
  • Validate performance and cut over with confidence using structured testing, controlled migration windows, and rollback planning
  • Analytics modernization runs on the same engagement: new or migrated data lakes, warehouses, and BI, plus the ETL/ELT pipelines behind them
Database modernization implement

Manage

A modernized database still requires experienced oversight to stay performant, secure, and cost-efficient over time.  

  • Managed DBA coverage across environments for patching, backups, high availability, and disaster recovery
  • Ongoing performance and capacity management to keep pace with changing workload demands
  • Continuous cost optimization at the data layer through rightsizing, usage analysis, and commitment planning
Database modernization manage

Start with a Database Modernization Assessment

Pick your highest-cost database. We'll model what modernizing it saves, including the open-source re-platform path and recommend where it should run. You leave with a number, not a pitch. 

What you get: 

  • Working session with a RapidScale DBA lead on your estate, licensing exposure, and priorities 

  • Licensing and TCO model comparing current spend to each modernization path 

  • Recommended target engine and environment, with a phased migration roadmap 

DataStrategyArchitecture

See what your database estate is costing you

Get an honest look at where your databases should run and what modernizing them would save, without a platform agenda.