Partner POV | Revolutionize Your Data Strategy with VAST DataBase
Merge transactional and analytical capabilities for AI-driven insights and explore how you can transform your data lakes and maximize ROI with VAST's innovative architecture.
AI has changed the value of data. The infrastructure and tools used for business intelligence are ineffective for AI, forcing customers to operate disparate data stacks and complex pipelines. To compensate organizations are implementing workarounds that require additional compute, caching, and challenging data engineering that ultimately reduces the ROI of data-driven insights.
Building the future-proof data stack
Introducing the VAST DataBase, a first-principles approach that reimagines the data stack for the challenges and opportunities of AI and Deep Learning. VAST has broken fundamental tradeoffs to combine the transactional performance of a database with the query performance of an exabyte-scale data warehouse at the cost of a data lake.
Building on the revolutionary Disaggregated, Shared-Everything architecture the VAST DataBase is designed to support both transactional and analytics workloads. VAST's inherent parallelism delivers high-speed, ACID-compliant transactions while enabling unprecedented levels of filtration to accelerate queries for faster insights while reducing TCO. Customers get robust support for popular query engines on an affordable all-flash platform that unifies structured and unstructured data to streamline pipelines and simplify data management.
Why VAST
Insights At The Speed Of Flash
Write-optimized, ACID-compliant transactions
Read-optimized queries for data warehouse functionality
Infrastructure Savings
Reduce engine compute by up to 75%
Significant data reduction and compression
Data Pipelines Simplified
Structured and unstructured data on the same platform
No partitions, pruning, or vacuuming
Unified transactional and analytical data drastically reduces data movement
Maximizing value from unstructured AND structured data
The VAST Data Platform enables customers to modernize data lakes to support advanced analytics and AI on a unified architecture to dramatically reduce computational resources to save power, cooling, and licensing costs.