top of page

Best practice for Open Source DBs

     For a successful adoption of Open Source, a number of Best Practices have been developed on the basis of

         real-life software projects. This includes the different treatment of challenges in Software Engineering,

              operations / DevOps, and continuous improvement of the database application services.

 Architecture & High Availability 
  • Open Source databases offer very high levels of High Availability, allowing for enterprise-ready compliance and failure-safety

  • Possible High Availability architectures offer e.g. full data synchronicity, semi-synchronous replication setups, as well as various master failover mechanisms and modalities 

  • See also our High Availability page

 Software engineering 
  • Open Source empowers a significantly agile culture of improving, experimenting and competing by solution quality, not by price

  • Several limitations of legacy commercial DBMS often do not exist in Open Source, e.g. CPU-based licenses

  • Modern architectures allow for quick automation ofexisting or migrated DB topologies

  • Consolidation of instances helps to reduce costs

 Performance tuning 
 DevOps & operations 
  • As in any other software product, training of your team members for operating Open Source databases is essential

  • We can assist you with enhancing the skills of your existing DBA team in order to deal with the new database infrastructure based on Open Source

  • We carefully help your team to prepare for switchover from old to new database

bottom of page