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Data Atmos · GitHub

Data Atmos

OLTP, OLAP, and AI orchestration is about to get easier with Data Atmos

Data Atmos

OLTP, OLAP, and AI orchestration is about to get easier with Data Atmos

  • Control plane spins up any datastore in a VPC-peered cluster for OLTP; platform-agnostic—bring your own, use ours, or migrate yours seamlessly; 24/7 DBA support
  • CDC streams auto-lake every write for true millisecond OLAP with built-in engines or external connectors—no pipeline upkeep
  • AI agents for managing database performance tuning, governance, reporting, and cost optimization by learning workload patterns to preempt issues
  • Modular GPU pods mount zero-copy data (internal or external) so you can train, customize, and deploy AI models end-to-end privately
  • DataOps orchestration just got simpler—and your costs just got a whole lot smaller

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