Gigaom Sector Roadmap: Cloud Analytic Databases 2017
January 5, 2017
The cloud is proving immensely useful to providing elastic, measurable, on-demand, self-service resources to organizations. Many enterprises are fully embracing a cloud-based analytics strategy and making it accessible across their current infrastructure and data ecosystems. Many others are adopting it as a secondary platform for purposes such as disaster recovery and offloading analytic and data transformation workloads.
This white paper evaluates relational databases either built for the cloud or with significant cloud-related development in their latest releases. The vast majority of these databases are being sold as cloud offerings. Vendor solutions are evaluated over six disruption vectors: robustness of SQL, built-in optimization, on-the-fly elasticity, dynamic environment adaption, separation of compute from storage, and support for diverse data.