Research Whitepaper:
What to Consider When Choosing a Cloud-Centric Analytical Data Platform
Choosing a cloud-ready data warehouse or combined lake/warehouse platform? Ask these key questions
“We like Yellowbrick’s visionary commitment to Kubernetes-based deployment across on-premises/edge, hosted, and public cloud deployment options. We also like Yellowbrick’s unified management across all deployment options and the ability to always maintain data within customer data centers and/or cloud accounts.”
Doug Henschen, Principal Analyst and Founder
Constellation Research
High-scale analytical data platforms provide historical and low-latency data for:
- Business intelligence (BI) and analytical analysis
- Data-driven decision-making
- Ad hoc query and analysis
- Machine learning (ML) and artificial intelligence (AI)
- Supporting production-scale reporting and dashboarding
The market for high-scale analytical data platforms has grown and evolved. In the past, the market was dominated by on-premises database management systems (DBMSs). As organizations move workloads and data into public clouds, cloud computing has become one of the most powerful market drivers.
Today, organizations are turning to modern cloud data warehouses to drive better decisions and provide differentiated products, services, and customer experiences.
Download this whitepaper to:
- Explore recent trends in analytical data platforms
- Identify key organizational strategy considerations
- Identify key technology strategy considerations
- Start an analytical data platform review
- Shortlist candidates and final proof-of-concept projects
