White Paper

Unify Data. Accelerate Insight.

Data teams spend too much time stitching together streaming systems, open table formats, ETL pipelines, and compute clusters instead of delivering analytics and AI outcomes. Hadoop clusters decay, Kafka pipelines fragment, Spark infrastructure grows complex, and every new tool adds another operational layer.

VAST AI OS consolidates streaming, transactional data, analytics, vectors, and AI pipelines onto a single flash-native platform built on VAST’s shared-everything DASE architecture, where stateless compute accesses shared storage directly, reducing data movement, coordination overhead, and infrastructure sprawl.

What’s inside:

  • Why shared-nothing architectures become operationally fragile at petabyte scale

  • How VAST collapses streaming, transactional, and analytical workflows into one platform

  • How Sorted Tables, storage-side filtering, and Co-Located Joins accelerate high-concurrency analytics at scale

  • Why transactional analytics and real-time pipelines no longer require fragmented infrastructure

VAST DataBase: Unifying Transactions, Analytics, and AI at Scale

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