How the need for speed is changing multi-model database requirements
Blog post from DataStax
In recent years, there has been a shift in why and how organizations use multi-model databases. The primary driver for adoption was the flexibility they provided in data modeling. However, as customer demands and business requirements have accelerated, developers need faster access to data without having to wait for architects to spend weeks or months on data modeling. This has led to a new focus on providing low-friction data access to developers through APIs that adapt seamlessly to application needs. Multi-model databases now need to provide organizations the ability to quickly adapt to changing app requirements and make data available for querying in the way developers want, without requiring data model optimization. This evolution is a significant shift in emphasis for multi-model databases, moving from giving architects data modeling flexibility to empowering developers with simplified data access that adapts to application requirements and accelerates time to market.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Data Pipeline | 1 | 236 | 43 | 23 | -11% |
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