LATEST INTELLIGENCE
PERFORMANCE AND SCALE FOR MODERN DATABASE WORKLOADS
Accelerate OLTP, OLAP, and AI workloads with FlashArray // XL to drive workload modernization.
Executive summary
Enterprises are under intense pressure to deliver near-instant insights while lowering cost and complexity. Slow analytics at quarter-close can delay revenue recognition; an unplanned failover that stretches beyond minutes can cost millions in lost transactions. To keep these high-stakes moments from becoming business-critical fire drills, the underlying storage platform must do more than perform. It must simplify operations, protect data, and scale cleanly as workloads expand.
FlashArray // XL answers these needs. By collapsing OLTP, OLAP, and AI workloads onto one highperformance storage tier, it shrinks hardware footprints, cuts operational overhead, and keeps latency within microseconds even at peak concurrency. Built-in replication, snapshots, and encryption align storage with business KPIs, delivering faster time to insight and a measurable return on investment.
• Run more workloads on fewer systems without performance tuning
• Accelerate batch jobs, reporting pipelines, and AI queries
• Reduce administrative effort through a single storage pool for OLTP, OLAP, and vector search
• Future-proof capacity and performance for emerging workload demands
• Lower TCO by consolidating diverse workloads
The platform era: converging storage and workloads
Modern data strategy is shifting from siloed systems toward converged architectures where transactional, analytical, and AI workloads share the same infrastructure. This shift is driven by the need for faster insight, simplified governance, and tighter cost control. •
PRESENTED BY 22
INTELLIGENT CIO APAC www. intelligentcio. com