Crunchy Data

Differentiation with AI requires data enablement throughout an organization. AI is rapidly progressing away from a monolithic model to using multi-layered techniques and patterns empowered by precise data at each step. Gone are the days of an AI stack being set-it-and-forget-it, and data agility is the engine that enables iteration of AI workloads.

Crunchy Data has the open data tools that organizations need:

• Crunchy Postgres: the most advanced open source OLTP database for application workloads. Native storage for embeddings, including HNSW indexing.
• Crunchy Data Warehouse: a data lake house in Postgres augmented with a high-performance, columnar vectorized query engine. Full read-write access to a data lake, including automated maintenance.
• Change Data Capture: syncs data from an operational to analytical data stack in near-realtime.

Deployments available on cloud, on-prem, and hybrid cloud:

• Crunchy Bridge: fully-managed public cloud deployments
• Crunchy Postgres for Kubernetes: on-prem and hybrid cloud deployments