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Tag Archives: fail-over

3 Signs Your Relational Database Must Go

Application and operations teams sometimes reach a point where they must upgrade the database. Whether it’s due to data growth, lack of throughput, too much downtime, the need to share data globally, adding ETLs, or otherwise, it’s never a small project. Since these projects are expensive, any recommendation requires a solid justification.  This article a) characterizes 3 signs where traditional databases hit a wall, b) explains how vFabric SQLFire provides an advantage over traditional databases in each case, and c) should help you make a case for moving towards an in-memory, distributed data grid based on SQL.

For those of us tasked with upgrading (or architecting) the data layer, we all go through similar steps. We build a project plan, make projections and sizing estimates, perform architecture and code reviews, create configuration checklists, provide hardware budgets and plans, talk to vendors about options, and more.  Then, we work to plan the deployment with the least downtime, procure hardware and software, test different data load times, evaluate project risks, develop back-up plans, prepare communications to users about downtime, etc. You know the drill. These projects can take months and consume a fair amount of internal resources or consulting dollars. If you are starting or working on one of these types of projects with a traditional database architecture in mind, are you considering these 3 signs as you consider your options? Continue reading